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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/README.md Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,54 @@ +# DIMSP for Galaxy # + +Galaxy tool for Direct-Infusion Mass Spectrometry (DIMS) based lipidomics +data processing and filtering. + +For details how to get annotation and peak table, see +[dims_processing](https://github.com/hallz/dims_processing). + +## Installation ## + +- Install [Galaxy](https://github.com/galaxyproject/galaxy) under Linux. + +- Install [conda](https://docs.conda.io/en/latest/miniconda.html) under + Linux. `conda` is used to install `requirements` of this tool, i.e. R + packages used: `optparse`, `WriteXLS`, `xcms`, `data.table`, + `reshape`, `lattice`, `impute` and `pcaMethods`. + +- Use `git` to clone this tool + + ```bash + git clone https://github.com/wanchanglin/dimsp.git + ``` + +- Add this tool's location into Galaxy' tool config file: + `~/Galaxy/config/tool_conf.xml`. For example, one simplified + `tool_conf.xml` looks like: + + ```xml + <?xml version='1.0' encoding='utf-8'?> + <toolbox monitor="true"> + + <section id="getext" name="Get Data"> + <tool file="data_source/upload.xml" /> + </section> + + <section id="MyTools" name="My Tools"> + <tool file="/path/to/dimsp/dimsp.xml" /> + <tool file="/path/to/dimsp/dimsp_filter.xml" /> + </section> + + </toolbox> + ``` + +- Test data are in `test-data`, includes: + - mzXML and mzML files for DIMSP processing. + - Lipid lists in TSV(Tab Separated Values) format. + - TSV files for DIMSP filtering. + +## Authors, contributors & contacts ## + +- Wanchang Lin (wl361@cam.ac.uk), University of Cambridge +- Zoe Hall (zlh22@cam.ac.uk), University of Cambridge +- Julian L Griffin (jlg40@cam.ac.uk), University of Cambridge +
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/all_dimsp.R Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,178 @@ +#' wl-10-07-2018, Tue: Begin to modify +#' wl-11-07-2018, Wed: test 'getspectra' +#' wl-29-08-2018, Wed: add 'hwidth' for peaktable +#' wl-01-03-2019, Fri: reformat with 'styler' and change comment string to +#' "#'" for 'lintr'. + +#' ======================================================================= +#' This function uses xcms to get the average spectra for a sample and +#' cleans up the spectra by rounding the ms data to 4 decimal places as well +#' as removing NA values. The function has three arguments, a file name the +#' retention time window that data will be averaged from the direct infusion +#' of sample and the mass spectral range that is desired. common values +#' are: rt <- c(0,60) and mz <- c(200,1800) +getspectra <- function(filename, rt, mz) { + spectrum <- getSpec(xcmsRaw(filename), rtrange = rt, mzrange = mz) + spectrum[, "mz"] <- round(spectrum[, "mz"], digits = 4) + spectrum <- as.data.table(spectrum) + spectrum <- spectrum[, mean(intensity), by = mz] + spectrum <- na.omit(spectrum) + setkey(spectrum, mz) #' wl-10-07-2018, Tue:? + return(spectrum) +} + +#' ======================================================================= +#' This function calls the peakfinding algorithm in a loop finding the +#' closest peak maximum m/z and intensity values appending results to +#' variables signals and nearest_mz. It returns the data.frame peak_id +#' which includes all results from the targeted analysis of the current +#' spectra +#' wl-29-08-2018, Wed: add 'hwidth' +peaktable <- function(targets, spectra, hwidth = 0.01) { + nearest_mz <- vector(length = length(targets$mz)) # predefine length later + signal <- vector(length = length(targets$mz)) # predefine length later + for (i in 1:length(targets$mz)) { + target <- targets[i, mz] + peak <- peakfind_midpoint(target, spectra, hwidth, warnings) + nearest_mz[i] <- peak[1, mz] + signal[i] <- peak[1, V1] + } + + mz_deviation <- targets[, mz] - nearest_mz + peak_id <- data.frame( + targets$name, targets$mz, nearest_mz, + mz_deviation, signal + ) + return(peak_id) +} + +#' ======================================================================= +#' This is a refined peak finder that calculates the midpoint between a line +#' drawn at the half height. This will give closer m/z values, but does not +#' correct any small errors in intensity calculations from the peak max +#' finder. Used in main() as of 28/01/2014. -Luke Marney +peakfind_midpoint <- function(target, spectra, hwidth, warnings) { + window <- subset(spectra, spectra$mz > target - hwidth & spectra$mz < target + hwidth) + + if (nrow(window) == 0) { # no data for target? + peak <- data.table("mz" = target, "V1" = 0) # enter zero intensity for target mass + } else if (sum(window$V1) < 5000) { # very low s/n? + peak <- peakfind_max(target, spectra, hwidth) + + #' uses older peakmax finder for low s/n peaks, while less accurate this + #' helps with exception handling dramatically + + warning(paste("low signal/noise found for target mass-", target, "-using older peakmax finder. Identification may not be accurate", sep = " ")) + } else { #' now we run the peak width peak finder + + #' at this point we need to readjust window first to the maximum found + #' with peakfind_max(). This centers the peak better in a window, so + #' that the entire peak is sampled for width at half height + #' calculations. The rest of this function does this as well as the + #' actual width at half height calculations.## + + peak <- peakfind_max(target, spectra, hwidth) + hh_close <- peak[1, V1] / 2 + window <- subset(spectra, spectra$mz > peak$mz - hwidth & spectra$mz < peak$mz + hwidth) + if (window$V1[length(window$mz)] > hh_close | window$V1[1] > hh_close) { # window doesn't sample the width of the peak? + setkey(window, V1) # this will sort table by intensity, thus finding peak maximum as last entry in table + peak <- window[length(window$mz)] # get last entry of table for the peak maximum + window <- subset(spectra, spectra$mz > peak$mz - hwidth & spectra$mz < peak$mz + hwidth) + setkey(window, mz) + if (window$V1[length(window$mz)] > hh_close | window$V1[1] > hh_close) { # is the bad sampling of peak due to interference? + setkey(window, V1) # this will sort table by intensity, thus finding peak maximum as last entry in table + peak <- window[length(window$mz)] # get last entry of table for the peak maximum + warning((paste("interfered peak detected for target mass-", target, "-older peak_max() function used", sep = " "))) + } + } else { + #' for resolved peaks (at half height) the follow code is run ## + setkey(window, V1) # this will sort table by intensity, thus finding peak maximum as last entry in table + peak <- window[length(window$mz)] # get last entry of table for the peak maximum + hh <- peak[1, V1] / 2 + nearmz <- peak[1, mz] + #' separate left and right side of peak + left <- window[window[, mz] <= peak$mz] + right <- window[window[, mz] >= peak$mz] + left_one <- left[left[, V1] <= hh] + left_one <- left_one[length(left_one[, mz])] # closest point below hh needs to index last entry in table + left_two <- left[left[, V1] >= hh][1] # can do an index of 1, because it is sorted by intensity + right_one <- right[right[, V1] >= hh][1] # can do an index of 1, because it is sorted by intensity + right_two <- right[right[, V1] <= hh] + right_two <- right_two[length(right_two[, mz])] # closest point below hh needs to index last entry in table + + if (left_two[, mz] == right_one[, mz]) { + warning(paste("Same point seen for left and right side of", target, ". Possible undersampled peaks?")) + } + + #' organize data into a data frame (called midpoints) for easier handling + left_mzs <- c(left_one[, mz], left_two[, mz]) + left_int <- c(left_one[, V1], left_two[, V1]) + right_mzs <- c(right_one[, mz], right_two[, mz]) + right_int <- c(right_one[, V1], right_two[, V1]) + midpoints <- data.frame(left_mzs, left_int, right_mzs, right_int) + #' there has got to be a way to combine the last five rows into one row + coordinates <- list() + left <- coefficients(lm(left_int ~ left_mzs, data = midpoints)) + right <- coefficients(lm(right_int ~ right_mzs, data = midpoints)) + midpoint <- ((hh - left[1]) / left[2] + (hh - right[1]) / right[2]) / 2 # midpoint between the intersection points of both lines from a y=hh flat line + peak$mz <- round(midpoint[1], digits = 4) # modify the peaks variable with the new more accurate m/z value + } + } + return(peak) +} + +#' ======================================================================= +#' This function is the simplest peak finder. It finds the maximum +#' intensity in a defined window around the target m/z. Not used in main() +#' as of 28/01/2014. -Luke Marney +peakfind_max <- function(target, spectra, hwidth) { + window <- subset(spectra, spectra$mz > target - hwidth & spectra$mz < target + hwidth) + setkey(window, V1) + #' this will sort table by intensity, thus finding peak maximum as last + #' entry in table + peak <- window[length(window$mz)] # get last entry of table for the peak maximum + #' plot(window, type='h', lwd=1) + return(peak) +} + +#' ======================================================================= +#' This function is used after main() has been run in a loop of multiple +#' filenames/spectra. It reads the multiple .csv's in a directory and +#' creates the .csv files signals.csv and deviations.csv which have rownames +#' of target metabolite and column names as the filename It's output is .csv +#' files, so there are no arguments needed. The active directory must be set +#' to the directory of the csv files created by main() +signals_deviations <- function() { + targets <- read.table("./Positive_LipidList.csv", header = T, sep = ",") + targets <- data.table(targets) + + #' the csv files must be in the active directory + x <- read.csv(gsub(pattern = ".mzXML", x = files[1], replacement = ".csv"), + header = T + ) + signals <- data.frame(x$targets.name, targets$mz) + for (i in 1:length(files)) { + x <- read.csv(gsub(pattern = ".mzXML", x = files[i], replacement = ".csv"), + header = T + ) + signals[files[i]] <- data.frame(x$signal) + } + + x <- read.csv(gsub(pattern = ".mzXML", x = files[1], replacement = ".csv"), + header = T + ) + deviations <- data.frame(x$targets.name, targets$mz) + for (i in 1:length(files)) { + x <- read.csv(gsub(pattern = ".mzXML", x = files[i], replacement = ".csv"), + header = T + ) + deviations[files[i]] <- data.frame(x$mz_deviation) + } + + results <- list(signals, deviations) + + write.csv(results[[1]], file = "signals_POS.csv", row.names = F) + write.csv(results[[2]], file = "deviations_POS.csv", row.names = F) + + return(results) +}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/dimsp.R Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,441 @@ +#' wl-10-07-2018, Tue: commence +#' wl-13-07-2018, Fri: make script working +#' wl-17-07-2018, Tue: check xcmsRaw and getSpec +#' wl-06-08-2018, Mon: 1.) unify positive and negative 2.) Use multiple +#' files, not file directory +#' wl-07-08-2018, Tue: finish the first working version for Galaxy +#' wl-12-08-2018, Mon: Modify and debug +#' wl-14-08-2018, Tue: the second working version for galaxy. +#' wl-28-08-2018, Tue: add 'samp_name' especially for galaxy. +#' wl-29-08-2018, Wed: add 'rtrange','marange' and 'hwidth' +#' wl-01-03-2019, Fri: tidy up for outline/tree view in vim and reformat +#' with R package 'styler'. Remove input file extension checking so it +#' supports both mzXML and mzML. +#' wl-04-03-2019, Mon: add mz file directory option. It is not for Galaxy +#' since it is impossible to load data in a specific directiory of Galaxy +#' sever. This option is only for direct use of R script, either in +#' interactive or command line mode. See shell script in './test' +#' wl-20-03-2019, Wed: change structure of 'test-data' and put results into +#' this directory for Galaxy planemo test. +#' wl-22-03-2019, Fri: change xls R package from 'WriteXLS' to 'writexl'. +#' The former gives different file size which leads to planemo test to fail +#' on xlsx files. The reason may be package version. +#' wl-25-03-2019, Mon: bring back 'WriteXLS' since 'writexl' does not +#' support data frame's row names +#' wl-15-07-2019, Mon: use xcms to change ranges of time and m/z. Only for +#' debug. +#' wl-19-07-2019, Fri: there is no centroding for spectra. 'xcmsRaw' only +#' loads data without peak detection(peak picking, peak finding). Note that +#' 'xcmsSet' (here not using) performs peak detection via 'findPeaks'. Use +#' 'ProteoWizards' for peak picking when converting data to mzML. + +## ==== General settings ==== +rm(list = ls(all = T)) + +#' flag for command-line use or not. If false, only for debug interactively. +com_f <- T + +#' galaxy will stop even if R has warning message +options(warn = -1) #' disable R warning. Turn back: options(warn=0) + +#' ------------------------------------------------------------------------ +#' Setup R error handling to go to stderr +#' options( show.error.messages=F, error = function (){ +#' cat( geterrmessage(), file=stderr() ) +#' q( "no", 1, F ) +#' }) + +#' we need that to not crash galaxy with an UTF8 error on German LC settings. +loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8") + +suppressPackageStartupMessages({ + library(optparse) + library(WriteXLS) + #' library(writexl) + library(xcms) + library(data.table) +}) + +#' wl-28-08-2018, Tue: Convert a string seperated by comma into character vector +str_vec <- function(x) { + x <- unlist(strsplit(x, ",")) + x <- gsub("^[ \t]+|[ \t]+$", "", x) #' trim white spaces +} + +## ==== Command line or interactive setting ==== +if (com_f) { + + #' ----------------------------------------------------------------------- + #' Setup home directory + #' wl-24-11-2017, Fri: A dummy function for the base directory. The reason + #' to write such a function is to keep the returned values by + #' 'commandArgs' with 'trailingOnly = FALSE' in a local environment + #' otherwise 'parse_args' will use the results of + #' 'commandArgs(trailingOnly = FALSE)' even with 'args = + #' commandArgs(trailingOnly = TRUE)' in its argument area. + func <- function() { + argv <- commandArgs(trailingOnly = FALSE) + path <- sub("--file=", "", argv[grep("--file=", argv)]) + } + #' prog_name <- basename(func()) + tool_dir <- paste0(dirname(func()), "/") + + option_list <- + list( + make_option(c("-v", "--verbose"), + action = "store_true", default = TRUE, + help = "Print extra output [default]" + ), + make_option(c("-q", "--quietly"), + action = "store_false", + dest = "verbose", help = "Print little output" + ), + + #' ------------------------------------------------------------------- + #' input + make_option("--mzxml_file", + type = "character", + help = "mzXML/ mzML file directory or full file list seperated by comma" + ), + make_option("--targ_file", + type = "character", + help = "Lipid target list with columns of m/z and lipid name" + ), + make_option("--samp_name", + type = "character", default = "", + help = "Sample names. Default is the names of mz XML file" + ), + make_option("--rt_low", + type = "double", default = 20.0, + help = "Start time" + ), + make_option("--rt_high", + type = "double", default = 60.0, + help = "End time" + ), + make_option("--mz_low", + type = "double", default = 200.0, + help = "Start m/z" + ), + make_option("--mz_high", + type = "double", default = 1200.0, + help = "End m/z" + ), + make_option("--hwidth", + type = "double", default = 0.01, + help = "m/z window size/height for peak finder" + ), + + #' output files (Excel) + make_option("--sign_file", + type = "character", default = "signals.tsv", + help = "Save peak signals (peak table)" + ), + make_option("--devi", + type = "logical", default = TRUE, + help = "Return m/z deviation results or not" + ), + make_option("--devi_file", + type = "character", default = "deviations.tsv", + help = "Save m/z deviations" + ), + make_option("--indi", + type = "logical", default = TRUE, + help = "Return each sample's signal and m/z deviation or not" + ), + make_option("--indi_file", + type = "character", default = "sam_indi.xlsx", + help = "Save individual sample's signal and m/z deviation in Excel" + ) + ) + + opt <- parse_args( + object = OptionParser(option_list = option_list), + args = commandArgs(trailingOnly = TRUE) + ) + print(opt) +} else { + tool_dir <- "C:/R_lwc/dimsp/" #' for windows + #' tool_dir <- "~/my_galaxy/dimsp/" #' for linux. must be case-sensitive + opt <- list( + #' input + + #' mzxml_file = paste(paste0(tool_dir, "test-data/mzXML/030317_mouse_liver_cs16_pos_002.mzXML"), + #' paste0(tool_dir, "test-data/mzXML/030317_mouse_liver_cs16_pos_004.mzXML"), + #' sep = ","), + + ## mzxml_file = paste(paste0(tool_dir, "test-data/mzML/01_sample.mzML"), + ## paste0(tool_dir, "test-data/mzML/02_sample.mzML"), + ## paste0(tool_dir, "test-data/mzML/03_sample.mzML"), + ## paste0(tool_dir, "test-data/mzML/04_sample.mzML"), + ## sep = "," + ## ), + + mzxml_file = paste(paste0(tool_dir, "test-data/mzXML")), + + targ_file = paste0(tool_dir, "test-data/LipidList_generator/Positive_LipidList.tsv"), + #' samp_name = "mzXML/030317_mouse_liver_cs16_pos_001.mzXML,mzXML/030317_mouse_liver_cs16_pos_002.mzXML", + samp_name = "", + rt_low = 20.0, + rt_high = 60.0, + mz_low = 200.0, + mz_high = 1200.0, + hwidth = 0.01, + #' Output + sign_file = paste0(tool_dir, "test-data/res_dimsp/signals.tsv"), + devi = TRUE, + devi_file = paste0(tool_dir, "test-data/res_dimsp/deviations.tsv"), + indi = TRUE, + indi_file = paste0(tool_dir, "test-data/res_dimsp/individuals.xlsx") + ) +} + +suppressPackageStartupMessages({ + source(paste0(tool_dir, "all_dimsp.R")) +}) + +## ==== Main process ==== + +#' process multiple input files seperated by comma +#' wl-04-03-2019, Mon: add file directory option. Note that it is not for +#' galaxy. +if (dir.exists(opt$mzxml_file)) { ## file directory + opt$mzxml_file <- list.files(opt$mzxml_file, pattern = "mzml|mzxml", + ignore.case = T, recursive = F, full.names = TRUE) +} else { ## multiple files + opt$mzxml_file <- str_vec(opt$mzxml_file) +} + +targets <- read.table(opt$targ_file, header = T, sep = "\t", stringsAsFactors = F) +targets <- data.table(targets) + +#' ------------------------------------------------------------ +#' temporary debug in interactive mode +if (T) { + res <- lapply(opt$mzxml_file, function(x) { #' x = files[[1]] + spec <- suppressMessages(getspectra( + filename = x, + rt = c(opt$rt_low, opt$rt_high), + mz = c(opt$mz_low, opt$mz_high) + )) + tgts <- peaktable(targets, spec, opt$hwidth) + return(tgts) + }) + + #' handle sample names + if (opt$samp_name == "") { + opt$samp_name <- opt$mzxml_file + } else { + opt$samp_name <- str_vec(opt$samp_name) + } + #' extract only sample names (use greedy match) + names(res) <- gsub(".*/|\\..*$", "", opt$samp_name, perl = T) + + #' save(res,file=paste0(tool_dir,"res/res.RData")) +} else { + #' load(paste0(tool_dir,"res/res.RData")) +} + +#' -------------------------------------------------------------------- +#' Output results +#' get signals (intensity) and mz deviations +tmp <- targets[, c("name", "mz")] +signals <- sapply(res, function(x) return(x[, "signal"])) +deviations <- sapply(res, function(x) return(x[, "mz_deviation"])) +signals <- as.data.frame(cbind(tmp, signals)) +deviations <- as.data.frame(cbind(tmp, deviations)) + +#' save peak table +write.table(signals, file = opt$sign_file, sep = "\t", row.names = F) +#' save m/z deviations +if (opt$devi) { + write.table(deviations, file = opt$devi_file, sep = "\t", row.names = F) +} +#' #' save each sample result +if (opt$indi) { + #' write_xlsx(res, path = opt$indi_file, col_names = T, format_headers = T) + WriteXLS(res, ExcelFileName = opt$indi_file, row.names = T, FreezeRow = 1) +} + +#' cat("\ngoes here\n") +#' lapply(res, dim) + +## ==== DEBUG: Interactive mode ==== +#' wl-01-03-2019, Fri: test mzML file which is not mentioned in 'xcms' + +if (F) { + source("./all_dimsp.R") + + #' file path of mzML files + #' path <- "C:/R_lwc/dims_processing/test-data/" + path <- "./test-data/mzML" + files <- list.files(path, pattern = "mzML", recursive = F, full.names = TRUE) + (files <- files[1:4]) + + targets <- read.table("./test-data/LipidList_generator/Positive_LipidList.tsv", + header = T, sep = "\t", stringsAsFactors = F + ) + targets <- data.table(targets) + + #' ------------------------------------------------------------ + if (T) { + res <- lapply(files, function(x) { + #' x = files[[1]] + spec <- getspectra(filename = x, rt = c(20, 60), mz = c(200, 1200)) + tgts <- peaktable(targets, spec) + return(tgts) + }) + #' extract only sample names (use greedy match) + names(res) <- gsub(".*/|\\..*$", "", files, perl = T) + save(res, file = "./res/tmp_res.RData") + } else { + load("tmp_res.RData") + } + + lapply(res, dim) + + #' -------------------------------------------------------------------- + #' save single result + WriteXLS(res, + ExcelFileName = "./res/tmp_pos.xlsx", row.names = F, + FreezeRow = 1 + ) + if (F) { #' or use this + lapply(names(res), function(x) { + write.csv(res[[x]], file = paste0("./res/", x, ".csv"), row.names = F) + }) + } + + #' -------------------------------------------------------------------- + #' get signals (intensity) and mz deciations + tmp <- targets[, c("name", "mz")] + signals <- sapply(res, function(x) return(x[, "signal"])) + deviations <- sapply(res, function(x) return(x[, "mz_deviation"])) + signals <- cbind(tmp, signals) + deviations <- cbind(tmp, deviations) + #' save results + write.csv(signals, file = "./res/tmp_sig.csv", row.names = F) + write.csv(deviations, file = "./res/tmp_dev.csv", row.names = F) + + #' results <- signals_deviations() + #' gc() # helps memory allocation errors on low memory systems +} + +## ==== DEBUG: Use xcms to load data ==== +if (F) { + xr <- xcmsRaw(files[1]) + xr + + #' wl-19-07-2019, Fri: test + spec <- getSpec(xr, rtrange = c(20, 60), mzrange = c(200, 1200)) + peak <- findPeaks(xr) #' why only 10 peaks returned? + + #' ---------------------------------------- + #' look at the structure of the object + slotNames(xr) + #' names(attributes(xr)) + #' str(xr) + + #' scan time + xr@scantime + range(xr@scantime) + summary(xr@scantime) + + xr@scanindex + head(xr@scanindex) + + #' m/z range + xr@mzrange + + names(xr@env) #' profile, mz, intensity + xr@env$mz[425:430] + + #' ---------------------------------------- + mz.scan1 <- xr@env$mz[(1 + xr@scanindex[1]):xr@scanindex[2]] + intensity.scan1 <- xr@env$intensity[(1 + xr@scanindex[1]):xr@scanindex[2]] + plot(mz.scan1, intensity.scan1, + type = "h", + main = paste("Scan 1 of file", basename(files[1]), sep = "") + ) + + #' the easier way + scan1 <- getScan(xr, 1) + head(scan1) + plotScan(xr, 1) + + #' ---------------------------------------- + spec <- getSpec(xr, rtrange = c(20, 60), mzrange = c(200, 1200)) + spec_1 <- getSpec(xr, t = c(20, 60), m = c(200, 1200)) #' rtrange and mzrange + spec_2 <- getSpec(xr, m = c(200, 1200)) #' mzrange + spec_3 <- getSpec(xr, s = c(98, 297), m = c(200, 1200)) #' scanrange and mzrange + spec_4 <- getSpec(xr) + + #' Note: The results of 'spec' ~ 'spec_4' are confused: + #' - is rt 'scantime' in this case? + #' - Source code of `getSpec` does not use 'rtrange'. + #' - strange: results of 'spec' and 'spec_1' are not the same. + + dim(spec) #' [1] 2096693 2 + length(unique(spec[, 1])) #' [1] 2096693 + + spec[, "mz"] <- round(spec[, "mz"], digits = 4) + spec <- as.data.table(spec) + spec <- spec[, mean(intensity), by = mz] + spec <- na.omit(spec) +} +## ==== DEBUG: Use xcms to check ranges of time and m/z ==== +if (F) { + tmp <- sapply(files, function(x){ #' x <- files[1] + obj <- xcmsRaw(x) + #' slotNames(obj) + #' obj + + #' wl-15-07-2019, Mon: from 'xcmsRaw' show method + + #' time range + time_range <- round(range(obj@scantime),1) + #' summary(obj@scantime) + + #' mass range + mass_range <- round(range(obj@env$mz), 4) + + list(time_range=time_range, mass_rang=mass_range) + }) + tmp <- t(tmp) + + #' wl-15-07-2019, Mon: should properly use lapply instead of sapply and + #' get scan time and m/z range individually. Here is dirt and quick. + +} + +## ==== DEBUG: Use MSnbase to load data ==== +if (F) { + raw_data <- readMSData(files, mode = "onDisk") + raw_data + slotNames(raw_data) + + #' -------------------- + rt <- rtime(raw_data) + class(rt) #' numeric + length(rt) #' 2673 = 9 * 297 + + #' -------------------- + mzs <- mz(raw_data) + #' Split the list by file + mzs_by_file <- split(mzs, f = fromFile(raw_data)) + length(mzs_by_file) + length(mzs_by_file[[1]]) + length(mzs_by_file[[1]][[1]]) + summary(mzs_by_file[[1]][[1]]) + + #' -------------------- + inten <- intensity(raw_data) + inten_by_file <- split(inten, f = fromFile(raw_data)) + length(inten_by_file) #' 9 + length(inten_by_file[[1]]) #' 297 + length(inten_by_file[[1]][[1]]) #' 13004 + + #' wl-15-07-2019, Mon: it is inconvenient to check rnages of time and m/z. + #' use xcms instead. +} +
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/dimsp.xml Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,259 @@ +<!-- + wl-08-08-2018, Wed: commence + wl-14-08-2018, Tue: Galaxy will change filename of uploaded data. But how + to extract the orignal filename info and pass into app for the column names + of results? + wl-28-08-2018, Tue: Get the original names of multiple mzxml file + 1.) use 'name' of mzxml_file. Search '.name' in + https://docs.galaxyproject.org/en/master/dev/schema.html to find the + solution + 2.) Beware that 'samp_name' is not input in Galaxy. it takes names of mzxml + file + wl-29-08-2018, Wed: add rtrange, mzrang and hwidth + wl-01-03-2019, Fri: add mutiple input data format, mzXML and mzML + wl-20-03-2019, Wed: add more tests + wl-22-03-2019, Fri: figure out why planemo test fails in xlsx files. + Although the contents are the same the file sizes are different. even use + the same version of 'WriteXLS'. The planemo always produces a big xlsx + file. Have to comment out the xlsx file in 'test'. +--> + +<tool id="dimsp" name="dims_processing" version="0.1.0"> + <description> + Direct-infusion mass spectrometry lipidomics processing + </description> + <macros> + <import>macros.xml</import> + </macros> + <expand macro="requirements" /> + <expand macro="stdio" /> + <!-- =============================================================== --> + <command detect_errors="exit_code"> + <![CDATA[ + #for $file in $mzxml_file: + #if $file.is_of_type("mzxml") + ln -sf ${file} ${file}.mzXML && + #else + ln -sf ${file} ${file}.mzML && + #end if + #end for + + Rscript ${__tool_directory__}/dimsp.R + ## input + --mzxml_file '$mzxml_file' + --targ_file '$targ_file' + --samp_name ${','.join([a.name for a in $mzxml_file])} + --rt_low '$rtrange.rt_low' + --rt_high '$rtrange.rt_high' + --mz_low '$mzrange.mz_low' + --mz_high '$mzrange.mz_high' + --hwidth '$mzwindow.hwidth' + ## output files + --sign_file '$sign_file' + #if $devi: + --devi_file '$devi_file' + #end if + #if $indi: + --indi_file '$indi_file' + #end if + + ]]> + </command> + + <!-- =============================================================== --> + <inputs> + <param name="mzxml_file" type="data" format="mzxml,mzml" multiple="true" + label="dims data" optional="false" + help="A bunch of dims data (positive or negative mode) in mzXML + or mzML format." /> + <param name="targ_file" type="data" format="tabular" + label="Target matrix" + help="A data matrix containing lipid target lists (positive or + negative). " /> + + <section name="rtrange" title="Select time range" expanded="false"> + <param name="rt_low" type="float" value="20.0" + label="Start time" argument="--rt_low" /> + <param name="rt_high" type="float" value="60.0" + label="End time" argument="--rt_high" /> + </section> + <section name="mzrange" title="Select m/z range" expanded="false"> + <param name="mz_low" type="float" value="200.0" + label="Start m/z" argument="--mz_low" /> + <param name="mz_high" type="float" value="1200.0" + label="End m/z" argument="--mz_high" /> + </section> + <section name="mzwindow" title="Select m/z window size" expanded="false"> + <param name="hwidth" type="float" value="0.01" + label="m/z window size" + help="Specify a m/z window size(height) for peak finder" + argument="--hwidth" /> + </section> + + <param name="devi" type="boolean" truevalue="True" falsevalue="False" + checked="True" label="Produce m/z deviations table?" + help="A single table with m/z devisations based on lipid target list" /> + <param name="indi" type="boolean" truevalue="True" falsevalue="False" + checked="True" + label="Produce signal and deviation for each individual sample?" + help="An Excel XLSX file containing sheets of individual sample's + signals and m/z deviations." /> + </inputs> + + <!-- =============================================================== --> + <outputs> + <data format="tabular" name="sign_file" + label="Peak signals on ${on_string}"/> + <data format="tabular" name="devi_file" + label="m/z deviations file on ${on_string}"> + <filter> devi == True </filter> + </data> + <data format="xlsx" name="indi_file" + label="Individual sample's signal and m/z deviation on ${on_string}"> + <filter> indi == True </filter> + </data> + </outputs> + + <!-- =============================================================== --> + <tests> + <test> + <param name="mzxml_file" value="mzML/01_sample.mzML,mzML/02_sample.mzML,mzML/03_sample.mzML,mzML/04_sample.mzML" /> + <param name="targ_file" value="LipidList_generator/Positive_LipidList.tsv" /> + <param name="rt_low" value="20.0" /> + <param name="rt_high" value="60.0" /> + <param name="mz_low" value="200.0" /> + <param name="mz_high" value="1200.0" /> + <param name="devi" value="TRUE" /> + <param name="indi" value="TRUE" /> + <output name="sign_file" file="res/mzml_pos_sign.tsv" /> + <output name="devi_file" file="res/mzml_pos_devi.tsv" /> + <!-- <output name="indi_file" file="res/mzml_pos_indi.xlsx" compare="sim_size" delta="1000"/> --> + </test> + </tests> + + <!-- =============================================================== --> + <help> +DIMS Processing +================ + +Description +----------- + +This tool performs Direct-infusion mass spectrometry lipidomics processing. + +Inputs +------ + +**\1. DIMS data** + +The lipidomics data format is ``mzXML`` or ``mzML`` which can be converted +from raw data by ``MSConvert`` of ProteoWizard_. Each file represents one +sample or replicate. Select multiple ``mzXML`` or ``mzML`` files for +processing. The input data will be either positive or negative mode. +They cannot be mixed up. + + +.. _ProteoWizard: http://proteowizard.sourceforge.net/ + + +**\2. Target matrix** + +The target matrix in tabular format(``.tsv``) includes lipid target lists in +two columns. The following table is an example (positive mode): + +======== ========================================== +mz name +======== ========================================== +185.1547 FA(11:0)_[M-H]1- +197.1547 FA(12:1)_[M-H]1- +199.1704 FA(12:0)_[M-H]1- +209.1183 OCT(C12H18O3)_jasmonic acid_[M-H]1- +211.134 OCT(C12H20O3)_dihydrojasmonic_acid_[M-H]1- +213.186 FA(13:0)_[M-H]1- +215.1653 FA(12:0)-OH_[M-H]1- +223.134 OCT(C13H20O3)_methyl_jasmonate_[M-H]1- +225.1132 OCT(C12H18O4)_[M-H]1- +225.186 FA(14:1)_[M-H]1- +======== ========================================== + + | + +Note that the target matrix file should be either positive or negative, +depending on the mode of DIMS data input. For the examples of positive +and negative mode, see https://github.com/wanchanglin/dimsp/tree/master/test-data/LipidList_generator. + +Parameters +---------- + +Select time range +~~~~~~~~~~~~~~~~~ + +- The time range for positive mode is 20 - 60s +- The time range for negative mode is 80 - 120s + +Select m/z range +~~~~~~~~~~~~~~~~ + +- Select m/z range of 200 - 1200 for positive mode +- Select m/z range of 185 - 1200 for negative mode + +Select m/z window size +~~~~~~~~~~~~~~~~~~~~~~ + +Select m/z window size for peak finding. The default value is 0.01. + + +Outputs +---------- + +Signal Peak Table +~~~~~~~~~~~~~~~~~ + +The default output is the signal table in tabular format: + +====================================== ======== =========== ======== ========== +name mz pos-001 pos-002 pos-003 +====================================== ======== =========== ======== ========== +PS_32:5_[M+Na]1+ 748.416 0 0 0 +PE_37:7_[M+H]1+ / PA_39:8_[M+NH4]1+ 748.4912 104.3298294 0 136.4149127 +PS_33:1_[M+H]1+ / PG_33:3_[M+NH4]1+ 748.5123 755.8055022 0 539.1916569 +PE-P_38:6_[M+H]1+ 748.5276 862.2107571 0 1028.002626 +PC-O_34:0_[M+H]1+ / PE-O_37:0_[M+H]1+ 748.6215 0 0 0 +TG_43:3_[M+NH4]1+ 748.645 0 0 0 +DG_44:3_[M+NH4]1+ 748.6814 13201.64570 8790.560 0 +2H-IS_PE_[M+H]1+ 748.7244 113052.2131 0 81301.89354 +====================================== ======== =========== ======== ========== + + | + +Deviations table +~~~~~~~~~~~~~~~~ + +The m/z deviation table, the same format as signal peak table, will be +produced if **Produce m/z deviations table?** is TRUE. + +Individual table +~~~~~~~~~~~~~~~~ + +An Excel ``XLSX`` file containing each sample's signals and m/z deviations +will be produced if **Produce signal and deviation for each individual +sample?** is set as TRUE. This file cannot shown in Galaxy but can be +downloaded. + + + </help> + + <citations> + <citation type="bibtex"> + @misc{, + title = {DIMS Processing}, + url = {https://github.com/hallz/dims_processing}, + journal = {GitHub}, + author = {hallz}, + year = {2016}, + month={Feb}} + } + </citation> + </citations> + +</tool>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/dimsp_filter.R Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,415 @@ +#' wl-01-11-2018, Thu: commence dimsp filtering implementation +#' wl-18-11-2018, Wed: add MV and RSD distribution plots, which are used to +#' choose threshold of MV and RSD. +#' wl-20-11-2018, Tue: add MV imputation by univariate or multivariate +#' wl-26-11-2018, Mon: make it work for Galaxy +#' wl-27-11-2018, Tue: restore original annotation, mz and replicate info +#' wl-28-11-2018, Wed: test on command mode and add more error handling. +#' - Duplicate execution of mv filtering on samples are fine. +#' - mv filtering must be executed once. +#' - the choice of rsd threshold is tricky. Default of 20 is aggressive in +#' the most of time. If the number of variables are dropped largely after +#' rsd-based qc filtering, consider increasing rsd threshold. Or do not +#' execute this qc filtering and only carry on mv filtering and blank +#' filtering. +#' - group info can include the following items and number of each item +#' must be no less than 2. Any other item cannot be accepted. +#' - sample +#' - sample, qc +#' - sample, blank +#' - sample, qc, blank +#' wl-29-11-2018, Thu: debug and polish for Galaxy (command mode) +#' - grp_file_sel: change from boolean to character purely for galaxy +#' wl-01-03-2019, Fri: tidy up for outline/tree view in vim and reformat +#' with R package 'styler' +#' wl-28-03-2019, Thu: make sure mv filtering must be performed once on +#' **sample** +#' wl-01-04-2019, Mon: debug rsd threshold again. + +## ==== General settings ==== +rm(list = ls(all = T)) + +#' flag for command-line use or not. If false, only for debug interactively. +com_f <- T + +#' galaxy will stop even if R has warning message +options(warn = -1) #' disable R warning. Turn back: options(warn=0) + +#' ------------------------------------------------------------------------ +#' Setup R error handling to go to stderr +#' options( show.error.messages=F, error = function (){ +#' cat( geterrmessage(), file=stderr() ) +#' q( "no", 1, F ) +#' }) + +#' we need that to not crash galaxy with an UTF8 error on German LC settings. +loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8") + +suppressPackageStartupMessages({ + library(optparse) + library(WriteXLS) +}) + +#' wl-28-08-2018, Tue: Convert a string separated by comma into character vector +str_vec <- function(x) { + x <- unlist(strsplit(x, ",")) + x <- gsub("^[ \t]+|[ \t]+$", "", x) #' trim white spaces +} + +## ==== Command line or interactive setting ==== +if (com_f) { + + #' ----------------------------------------------------------------------- + #' Setup home directory + #' wl-24-11-2017, Fri: A dummy function for the base directory. The reason + #' to write such a function is to keep the returned values by + #' 'commandArgs' with 'trailingOnly = FALSE' in a local environment + #' otherwise 'parse_args' will use the results of + #' 'commandArgs(trailingOnly = FALSE)' even with 'args = + #' commandArgs(trailingOnly = TRUE)' in its argument area. + func <- function() { + argv <- commandArgs(trailingOnly = FALSE) + path <- sub("--file=", "", argv[grep("--file=", argv)]) + } + #' prog_name <- basename(func()) + tool_dir <- paste0(dirname(func()), "/") + + option_list <- + list( + make_option(c("-v", "--verbose"), + action = "store_true", default = TRUE, + help = "Print extra output [default]" + ), + make_option(c("-q", "--quietly"), + action = "store_false", + dest = "verbose", help = "Print little output" + ), + + #' ------------------------------------------------------------------- + #' input + make_option("--peak_file", + type = "character", + help = "DIMS peak table with the annotation and mz values" + ), + make_option("--grp_file_sel", + type = "character", default = "yes", + help = "Load sample, qc and blank info from file or not" + ), + make_option("--grp_file", + type = "character", + help = "sample, qc and blank info file for filtering" + ), + make_option("--groups", + type = "character", default = "", + help = "Sample, qc and blank info. Delimited by commas." + ), + + #' QC filtering + make_option("--qc", + type = "logical", default = TRUE, + help = "Performs QC filtering or not" + ), + make_option("--qc_rsd_thres", + type = "double", default = 20.0, + help = "RSD threshold for QC filtering. Features less than the + threshold will be kept." + + ), + make_option("--qc_mv_filter", + type = "logical", default = TRUE, + help = "Performs MV filtering inside qc filtering or not" + ), + make_option("--qc_mv_qc_sam", + type = "logical", default = TRUE, + help = "Performs mv filtering on qc or sample replicates" + ), + make_option("--qc_mv_thres", + type = "double", default = 0.30, + help = "MV percentage threshold for mv filtering inside qc filtering. + Features less than the threshold will be kept." + ), + + #' Blank filtering + make_option("--bl", + type = "logical", default = TRUE, + help = "Performs blank filtering or not" + ), + make_option("--bl_method", + type = "character", default = "mean", + help = "Blank filtering method. Currently support mean, median and max." + ), + make_option("--bl_factor", + type = "double", default = 1.0, + help = "Factor for blank filtering" + ), + make_option("--bl_mv_filter", + type = "logical", default = TRUE, + help = "Performs MV filtering on sample inside blank filtering or not" + ), + make_option("--bl_mv_thres", + type = "double", default = 0.30, + help = "MV percentage threshold for mv filtering inside blank filtering. + Features less than the threshold will be kept." + ), + + #' MV filtering + make_option("--mv", + type = "logical", default = TRUE, + help = "Performs MV filtering on sample or not" + ), + make_option("--mv_thres", + type = "double", default = 0.30, + help = "MV percentage threshold for mv filtering. + Features less than the threshold will be kept." + ), + + #' Merge data (sample, qc and blank) + make_option("--merge", + type = "logical", default = TRUE, + help = "Merge sample, qc and blank or not" + ), + + #' MV imputation + make_option("--mv_impute", + type = "character", default = "knn", + help = "MV imputation method. Currently support mean, median, min, knn and pca." + ), + + #' output files + make_option("--pdf_file", + type = "character", default = "hist_box.pdf", + help = "Save histogram and boxplot for both RSD and MV percentage" + ), + make_option("--filter_file", + type = "character", default = "perk_filter.tsv", + help = "Save filtered peak table" + ) + ) + + opt <- parse_args( + object = OptionParser(option_list = option_list), + args = commandArgs(trailingOnly = TRUE) + ) +} else { + #' tool_dir <- "C:/R_lwc/dimsp/" #' for windows + tool_dir <- "~/my_galaxy/dimsp/" #' for linux. Must be case-sensitive + opt <- list( + #' Input + peak_file = paste0(tool_dir, "test-data/pos_peak.tsv"), + #' input group information directly or load a file? + grp_file_sel = "yes", + grp_file = paste0(tool_dir, "test-data/grp_sam_qc.tsv"), + #' grp_file = paste0(tool_dir, "test-data/grp_sam.tsv"), + #' grp_file = paste0(tool_dir, "test-data/grp_sam_bl.tsv"), + #' grp_file = paste0(tool_dir, "test-data/grp_sam_qc_bl.tsv"), + #' groups = "sample, sample, sample, sample, sample, sample, sample, sample, sample, sample, qc, qc, blank, blank", + + #' QC filtering + qc = TRUE, + #' wl-01-04-2019, Mon: It is critical to choose rsd threshold. The + #' distribution of rsd could be a guidian. + qc_rsd_thres = 60.0, + qc_mv_filter = TRUE, + qc_mv_qc_sam = TRUE, + qc_mv_thres = 0.30, + + #' blank filtering + bl = TRUE, + bl_method = "mean", + bl_factor = 1, + bl_mv_filter = FALSE, + bl_mv_thres = 0.30, + + #' MV filtering on samples + mv = FALSE, + mv_thres = 0.30, + + #' Merge data (sample, qc and blank) + merge = FALSE, + + #' MV imputation + mv_impute = "mean", + + #' output + pdf_file = paste0(tool_dir, "test-data/res_dimsp_filter/hist_box_deb.pdf"), + filter_file = paste0(tool_dir, "test-data/res_dimsp_filter/peak_filter_deb.tsv") + ) +} +print(opt) + +suppressPackageStartupMessages({ + source(paste0(tool_dir, "fs_filter.R")) +}) + +## ==== 1) Data preparation ==== + +#' Load peak table +peak <- read.table(opt$peak_file, + header = T, sep = "\t", + fill = T, stringsAsFactors = F +) + +#' get only numerics +dat <- peak[, -c(1:2)] +dat <- as.data.frame(t(dat)) + +#' record replicate names for final output +rep_names <- rownames(dat) + +#' get sample, qc and blank info +if (opt$grp_file_sel == "yes") { + groups <- read.table(opt$grp_file, + header = FALSE, sep = "\t", + stringsAsFactors = F + ) + groups <- groups[, 1, drop = TRUE] + #' wl-30-11-2018, Fri: group file must be one column without header. The + #' file extension can be tsv, csv or txt. sep="\t" takes no effect on one + #' column file. +} else { + groups <- opt$groups + groups <- unlist(strsplit(groups, ",")) + groups <- gsub("^[ \t]+|[ \t]+$", "", groups) #' trim white spaces +} +groups <- as.factor(tolower(groups)) + +#' error handling for group info. +if (nrow(dat) != length(groups)) { + stop("The number of replicates and length of group is not equal\n") +} + +if (!("sample" %in% levels(groups))) { + stop("Group must include 'sample'!\n") +} + +if (!all(levels(groups) %in% c("sample", "qc", "blank"))) { + stop("Group item must be 'sample', 'qc' or 'blank'!\n") +} + +if (!all(table(groups) >= 2)) { + stop("Number of each item in group must be at least 2!\n") +} + +#' change zero as NA +dat <- mv.zene(dat) + +#' construct list for "sample", "qc" and "blank" +data <- lapply(levels(groups), function(x) { + idx <- grep(x, groups) + tmp <- dat[idx, ] +}) +names(data) <- levels(groups) +cat("data dimension:\n") +sapply(data, dim) + +## ==== 2) Missing value and RSD checking ==== + +val_rsd <- lapply(data, rsd) +#' sapply(val_rsd, summary) +p.rsd <- dist_plot(val_rsd, main = "RSD") + +val_mv <- lapply(data, function(x) { + mv.stats(x)$mv.var +}) +#' sapply(val_mv, summary) +p.mv <- dist_plot(val_mv, main = "Percentage of Missing values") + +pdf(file = opt$pdf_file, onefile = T) # ,width=15, height=10) +plot(p.rsd$p.box) +plot(p.rsd$p.hist) +plot(p.mv$p.box) +plot(p.mv$p.hist) +dev.off() + +## ==== 3) Feature filtering ==== + +#' qc filtering +if (opt$qc) { + if ("qc" %in% levels(groups)) { + data <- qc_filter(data, + thres_rsd = opt$qc_rsd_thres, + f_mv = opt$qc_mv_filter, + f_mv_qc = opt$qc_mv_qc_sam, + thres_mv = opt$qc_mv_thres + ) + cat("data dimension after qc filtering:\n") + sapply(data, dim) + } +} + +#' blank filtering +if (opt$bl) { + if ("blank" %in% levels(groups)) { + data <- blank_filter(data, + method = opt$bl_method, + factor = opt$bl_factor, + f_mv = opt$bl_mv_filter, + thres_mv = opt$bl_mv_thres + ) + cat("data dimension after blank filtering:\n") + sapply(data, dim) + } +} + +#' wl-28-11-2018, Wed: MV filtering can be done in qc_filter, +#' blank_filter or mv_filter. Note that mv filtering on sample must be +#' performed once. Otherwise even mv imputation does not work for large +#' portion of missing values in some variables. + +#' wl-28-03-2019, Thu: make sure mv filtering must be performed once on +#' **sample** +(mv_qc <- (opt$qc) && ("qc" %in% levels(groups)) && (opt$qc_mv_filter) && !(opt$qc_mv_qc_sam)) +(mv_bl <- (opt$bl) && ("blank" %in% levels(groups)) && (opt$bl_mv_filter)) +(mv <- opt$mv || !(mv_qc || mv_bl)) + +#' mv filtering +if (mv) { + data <- mv_filter(data, thres_mv = opt$mv_thres) + cat("data dimension after mv filtering:\n") + sapply(data, dim) +} + + +## ==== 4) Merge data set ==== +#' want to merge sample, qc and blank? +if (opt$merge) { + mat <- do.call(rbind, data) +} else { + mat <- data$sample +} + +## ==== 5) Missing value imputation ==== +#' wl-30-11-2018, Fri: mv imputation takes two categories: univariate and +#' multivariate. 'mean', 'median' and 'min' belongs to the former while +#' 'knn' and 'pca' the later. + +mat <- mv.impute(mat, method = opt$mv_impute) + +## ==== 6) Tidy up and output ==== + +#' transpose back +mat <- as.data.frame(t(mat)) + +#' get the replicate names +col_name <- lapply(levels(groups), function(x) { + idx <- grep(x, groups) + tmp <- rep_names[idx] +}) +names(col_name) <- levels(groups) + +if (opt$merge) { + col_name <- do.call(c, col_name) +} else { + col_name <- col_name$sample +} +names(mat) <- col_name + +#' get annotation and mz values +row_ind <- rownames(mat) +row_ind <- gsub("[^\\d]", "", row_ind, perl = T) + +#' Combine annotation, mz and peaks +peak_filter <- cbind(peak[row_ind, 1:2], mat) + +#' save peak table +write.table(peak_filter, file = opt$filter_file, sep = "\t", row.names = F)
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/dimsp_filter.xml Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,500 @@ +<!-- +wl-29-11-2018, Thu: commence +wl-30-11-2018, Fri: add some help information +wl-18-03-2019, Mon: add macro and test +wl-21-03-2019, Thu: planemo test for sample, qc and blank +wl-01-04-2019, Mon: add more test and all pass. +--> + +<tool id="dimsp_filter" name="dims_filtering" version="0.1.0"> + <description> + Direct-infusion mass spectrometry lipidomics peak filtering + </description> + <macros> + <import>macros.xml</import> + </macros> + <expand macro="requirements" /> + <expand macro="stdio" /> + + <!-- =============================================================== --> + <command detect_errors="exit_code"> + <![CDATA[ + + Rscript ${__tool_directory__}/dimsp_filter.R + --peak_file '$peak_file' + + ## input group information directly or load a file? + --grp_file_sel '$grp.grp_file_sel' + #if $grp.grp_file_sel=='yes': + --grp_file '$grp.grp_file' + #else + --groups '$grp.groups' + #end if + + ## QC filtering + #if $qc_filter.qc: + --qc_rsd_thres '$qc_filter.qc_set.qc_rsd_thres' + --qc_mv_filter '$qc_filter.qc_set.qc_mv_filter' + --qc_mv_qc_sam '$qc_filter.qc_set.qc_mv_qc_sam' + --qc_mv_thres '$qc_filter.qc_set.qc_mv_thres' + #end if + + ## blank filtering + #if $bl_filter.bl: + --bl_method '$bl_filter.bl_set.bl_method' + --bl_factor '$bl_filter.bl_set.bl_factor' + --bl_mv_filter '$bl_filter.bl_set.bl_mv_filter' + --bl_mv_thres '$bl_filter.bl_set.bl_mv_thres' + #end if + + ## MV filtering on samples + #if $mv_filter.mv: + --mv_thres '$mv_filter.mv_set.mv_thres' + #end if + + ## Merge data (sample, qc and blank) + --merge $merge + + ## MV imputation + --mv_impute '$mv_impute' + + ## output + --pdf_file '$pdf_file' + --filter_file '$filter_file' + + ]]> + </command> + + <!-- =============================================================== --> + <inputs> + <param name="peak_file" type="data" format="tabular" + label="DIMS peak table" + help="DIMS peak table with columns of peaks and rows of samples. + The first two columns are annotation and mz values." /> + + <!-- =============================================================== --> + <conditional name="grp"> + <param name="grp_file_sel" type="select" + label="Group information for filtering. Input from a file?" + help="You can load group from a file or enter below manually."> + <option value="yes" selected="true">Use group file</option> + <option value="no">Enter group manually</option> + </param> + + <when value="yes"> + <param name="grp_file" type="data" format="txt" + label="Group file" + help="A data matrix containing only one column. The cell value + must be 'sample','qc' or 'blank'. The contents in the column + must include: 1) sample; or 2) sample, qc; or 3) sample,blank + or 4) sample, qc, blank. And number of each content must be no + less than 2. " /> + <!-- wl-30-11-2018, Fri: cannot use format="tabular". It does + not treat one column data file as tabular format. --> + </when> + <when value="no"> + <param name="groups" type="text" value="" + label="Specify group information" + help="Enter group contents delimited by a comma. E.e., 'sample', + 'qc','blank'. The length of contents must be the same as the + number of replicates. Any other names are not allowed." /> + </when> + + </conditional> + + <!-- =============================================================== --> + <conditional name="qc_filter"> + <param name="qc" + type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="true" + label="QC Filtering" + help="Performs QC filtering if you provide QC information" /> + + <when value="TRUE"> + <section name="qc_set" title="QC Filtering"> + + <param name="qc_rsd_thres" type="float" value="20" + label="Specify RSD threshold" + help="Inter RSD threshold. The default is 20." /> + + <param name="qc_mv_filter" type="boolean" + truevalue="TRUE" falsevalue="FALSE" checked="true" + label="MV filtering or not" + help="Performs MV filtering inside QC filtering or not"/> + + <param name="qc_mv_qc_sam" type="boolean" + truevalue="TRUE" falsevalue="FALSE" checked="true" + label="MV filtering on 'qc' or 'sample' replicates" + help="Performs MV filtering on 'qc' or 'sample' replicates. + TRUE for 'qc' and FALSE for 'sample'."/> + + <param name="qc_mv_thres" type="float" value="0.30" + label="Specify MV percentage threshold" + help="MV percentage threshold for mv filtering inside QC + filtering" /> + </section> + + </when> + + <when value="FALSE"> + </when> + + </conditional> + + <!-- =============================================================== --> + <conditional name="bl_filter"> + <param name="bl" + type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="true" + label="Blank Filtering" + help="Performs blank filtering if you provide blank information" /> + + <when value="TRUE"> + <section name="bl_set" title="Blank Filtering"> + + <param name="bl_method" type="select" + label="Select a method for blank filtering" + help="Blank filtering method. Currently support 'mean', + 'median' and 'max'."> + <option value="mean" selected="true">mean</option> + <option value="median">median</option> + <option value="max">max</option> + </param> + + <param name="bl_factor" type="float" value="1" + label="Specify factor" + help="Multiplying factor for blank filtering" /> + + <param name="bl_mv_filter" type="boolean" + truevalue="TRUE" falsevalue="FALSE" checked="true" + label="MV filtering or not" + help="Performs MV filtering on 'sample' inside blank + filtering or not"/> + + <param name="bl_mv_thres" type="float" value="0.30" + label="Specify MV percentage threshold" + help="MV percentage threshold for MV filtering inside + blank filtering" /> + </section> + + </when> + + <when value="FALSE"> + </when> + + </conditional> + + <!-- =============================================================== --> + <conditional name="mv_filter"> + <param name="mv" + type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="true" + label="MV Filtering on 'sample'" + help="Performs MV filtering on 'sample'. Should do if no MV + filtering is performed on 'sample' inside QC or blank filtering." /> + <when value="TRUE"> + <section name="mv_set" title="Missing value Filtering"> + <param name="mv_thres" type="float" value="0.30" + label="Specify MV percentage threshold" + help="MV percentage threshold for MV filtering" /> + </section> + </when> + + <when value="FALSE"> + </when> + </conditional> + + <!-- =============================================================== --> + <param name="merge" type="boolean" truevalue="True" falsevalue="False" + checked="false" label="Merge 'sample', 'qc' and 'blank' or not" + help="Merge 'sample', 'qc' and 'blank' for further analysis or + not" /> + + <param name="mv_impute" type="select" + label="Select a method for MV imputation" + help="MV imputation method. Currently support 'mean', 'median', + 'min', 'knn' and 'pca'."> + <option value="knn" selected="true">knn</option> + <option value="pca">pca</option> + <option value="mean">mean</option> + <option value="median">median</option> + <option value="min">min</option> + </param> + + </inputs> + + + <!-- =============================================================== --> + <outputs> + <data format="tabular" name="filter_file" + label="Filtered peak signals on ${on_string}"/> + <data format="pdf" name="pdf_file" + label="Histogram and boxplot for both RSD and MV percentage + on ${on_string}" /> + </outputs> + + <!-- =============================================================== --> + <tests> + <!-- test for sample, qc and blank with group file --> + <test> + <param name="peak_file" value="pos_peak.tsv" /> + <param name="grp_file_sel" value="yes" /> + <param name="grp_file" value="grp_sam_qc_bl.tsv" /> + <param name="qc" value="TRUE" /> + <param name="qc_rsd_thres" value="60.0" /> + <param name="qc_mv_qc_sam" value="TRUE" /> + <param name="bl" value="TRUE" /> + <param name="mv" value="FALSE" /> + <param name="merge" value="TRUE" /> + <output name="filter_file" file="res/sam_qc_bl_peak_filter.tsv" compare="diff"/> + <output name="pdf_file" file="res/sam_qc_bl_hist_box.pdf" compare="sim_size"/> + </test> + <!-- test for sample, qc and blank with group. Case-insensitive --> + <test> + <param name="peak_file" value="pos_peak.tsv" /> + <param name="grp_file_sel" value="no" /> + <param name="groups" value="Sample,sample, samplE, sample, sample, sample, sample, sample, sample, sample, qc, qc, blank, blank" /> + <param name="qc_rsd_thres" value="60.0" /> + <param name="mv" value="TRUE" /> + <param name="merge" value="false" /> + <param name="mv_impute" value="mean" /> + <output name="filter_file" file="res/sam_qc_bl_peak_filter_1.tsv" compare="diff"/> + <output name="pdf_file" file="res/sam_qc_bl_hist_box_1.pdf" compare="sim_size"/> + </test> + <!-- test for sample and qc with group file --> + <test> + <param name="peak_file" value="pos_peak.tsv" /> + <param name="grp_file_sel" value="yes" /> + <param name="grp_file" value="grp_sam_qc.tsv" /> + <param name="qc" value="TRUE" /> + <param name="qc_rsd_thres" value="60.0" /> + <param name="qc_mv_qc_sam" value="TRUE" /> + <param name="bl" value="FLASE" /> + <param name="mv" value="FALSE" /> + <param name="merge" value="TRUE" /> + <output name="filter_file" file="res/sam_qc_peak_filter.tsv" compare="diff"/> + <output name="pdf_file" file="res/sam_qc_hist_box.pdf" compare="sim_size"/> + </test> + <!-- test for sample and bl with group file --> + <test> + <param name="peak_file" value="pos_peak.tsv" /> + <param name="grp_file_sel" value="yes" /> + <param name="grp_file" value="grp_sam_bl.tsv" /> + <param name="qc" value="FLASE" /> + <param name="bl" value="TRUE" /> + <param name="mv" value="FALSE" /> + <param name="merge" value="FLASE" /> + <output name="filter_file" file="res/sam_bl_peak_filter.tsv" compare="diff"/> + <output name="pdf_file" file="res/sam_bl_hist_box.pdf" compare="sim_size"/> + </test> + <!-- test for sample only with group file. mv filtering will performed even 'mv' is F --> + <test> + <param name="peak_file" value="pos_peak.tsv" /> + <param name="grp_file_sel" value="yes" /> + <param name="grp_file" value="grp_sam.tsv" /> + <param name="qc" value="FLASE" /> + <param name="bl" value="FLASE" /> + <param name="mv" value="FALSE" /> + <param name="merge" value="TRUE" /> + <output name="filter_file" file="res/sam_peak_filter.tsv" compare="diff"/> + <output name="pdf_file" file="res/sam_hist_box.pdf" compare="sim_size"/> + </test> + </tests> + + <!-- =============================================================== --> +<help> +DIMS Filtering +============== + +Description +----------- + +This tool performs filtering on the DIMS peaks produced by +**DIMS Processing**. Current three methods are implemented: + +QC filtering + Filtering based on the RSD of QC samples. The peaks with RSD larger than + the designated threshold will be removed. Also missing value (MV) + filtering can be applied to 'qc' or 'sample'. + +Blank filtering + Filtering based on the characteristics of blank samples. The peaks whose + characteristics in 'sample' is less than in 'blank' will be removed. An + option of MV filtering on 'sample' can be employed. + +MV filtering + Filtering based on the missing value percentages. The peaks with the + percentages larger than the designated threshold will be removed. The + operation is performed on 'sample'. If MV filtering is not performed on + 'sample' inside 'QC filtering' and 'Blank filtering', this procedure + should be employed. Without MV filtering, even 'MV imputation' will fail + in some cases. + +Inputs +------ + +**\1. Peak Table** + +The input file is a peak table in tubular format. It can be produced by +**DIMS Processing**. The following is an example with the first two columns +of information such as annotation results and mz values and other columns +are samples. The row corresponds the peaks. The filtering will only perform +on intensity data and leave other data (such as 'name' and 'mz') unchanged. + ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| name | mz | 07_sample | 08_sample | 23_pool | 24_pool | 71_blank | 72_blank | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| TG_6:0_[M+NH4]1+ | 236.1129 | 22828.96 | 19742.27 | 11294.65 | 11772.57 | 4715.92 | 17952.02 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| TG_6:0_[M+Na]1+ | 241.0683 | 0.00 | 0.00 | 149.14 | 0.00 | 231.95 | 99.92 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| LPC_2:0_[M+H]1+ | 300.1207 | 0.00 | 0.00 | 0.00 | 98.52 | 0.00 | 0.00 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| LPC-2O_3:0_[M+H]1+ | 300.1571 | 0.00 | 107.11 | 301.06 | 825.36 | 0.00 | 375.61 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| LPC_3:1_[M+H]1+ | 312.1207 | 128.80 | 60.71 | 0.00 | 0.00 | 0.00 | 106.92 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| PC-O_3:0_[M+H]1+ | 314.1363 | 0.00 | 59.78 | 0.00 | 108.20 | 0.00 | 62.81 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| LPC-2O_4:0_[M+H]1+ | 314.1727 | 342.96 | 193.56 | 627.61 | 4370.63 | 410.80 | 718.93 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| PC-O_4:0_[M+H]1+ | 328.152 | 109.82 | 0.00 | 148.11 | 227.95 | 0.00 | 92.32 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| LPC_O-5:0_[M+H]1+ | 328.1884 | 105.31 | 377.61 | 0.00 | 204.87 | 73.78 | 92.58 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| PC_4:0_[M+H]1+ | 342.1312 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| LPC_5:0_[M+H]1+ | 342.1676 | 83.94 | 0.00 | 143.46 | 2550.10 | 0.00 | 290.45 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| Cer_20:1_[M+H]1+ | 342.3003 | 585.12 | 2147.71 | 1506.26 | 1202.96 | 0.00 | 511.88 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ +| MG_16:0_[M+NH4]1+ | 348.3108 | 7284.15 | 13460.34 | 22220.10 | 1939.08 | 4642.73 | 3129.56 | ++----------------------+----------+-----------+-----------+----------+----------+----------+----------+ + +| + +**\2. Group** + +This group information indicates the categorical group for the samples +in peak table. The group item must be **sample**, **qc** or **blank**. +Each group must at least include **sample** with or without **qc** or +**blank**. Number of each item must be no less than 2. Two methods for +providing the group information: + +- **Input manually**: type items separated by commas. For example, group has + 'sample', 'qc' and 'blank': + :: + + sample, sample, qc, qc, blank, blank + + Group has 'sample' and 'qc': + :: + + qc, sample, sample, sample, qc, qc + + Group has only 'sample': + :: + + sample, sample, sample,cample,sample,sample + +- **Load a tubular table**: The user can load one-column tabular data. For + example: + + + +--------+ + | sample | + +--------+ + | sample | + +--------+ + | qc | + +--------+ + | qc | + +--------+ + | blank | + +--------+ + | blank | + +--------+ + + | + + Note that this table does not includes any header. + +Parameters +---------- + +**\1. QC Filtering** + +Use this option if you provide 'sample' in **Group** and intend to perform +QC filtering. + +- **RSD threshold**: RSD threshold on 'sample'. The default value is 20. + **Note** that if a large quantity of peaks are removed, user can + increase this threshold based on the RSD distribution and run again. + +- **MV filtering**: A boolean value indicate whether MV filtering is + applied or not. + +- **MV filtering on 'sample' or 'qc'**: A boolean value indicating MV + filtering is applied to whether 'qc' or 'sample'. If TRUE, MV filtering + is performed on 'qc'. + +- **MV threshold**: MV percentage threshold. The default is 30. + +**\2. Blank Filtering** + +Use this option if you provide 'blank' in **Group** and intend to perform +blank filtering. + +- **Method**: method to calculate the characteristic of peaks. The + available methods are: *mean* (default), *median* and *max*. + +- **Multifying factor**: A factor to multiply the characteristics of + *blank*. The default is 1. + +- **MV filtering**: A boolean value indicate whether MV filtering is + applied to 'sample' or not. + +- **MV threshold**: MV percentage threshold. The default is 30. + +**\3. MV Filtering** + +Use this option if MV filtering is not performed on 'sample' inside **QC +Filtering** or **Blank Filtering**. Or **Group** only include 'sample'. + +- **MV threshold**: MV percentage threshold. The default is 30. + + +**\4. Merge Data** + +A boolean value indicating whether or not merging 'sample','qc' and 'blank'. +If not, only 'sample' will be imputed and output. + +**\5. MV Imputation** + +Missing value imputation. Currently two categorical methods are available: + +- **Univariate**: includes *mean*, *median* and *min* +- **Multivariate**: includes *knn* (default) and *pca* + + +Outputs +---------- + +**\1. Filtered Peak Table** + +A tabular format file containing filtered peaks. The file structure is the +same as input peak table. + +**\2. Distribution plots of RSD and MV percentage** + +A PDF file consisting of histogram and boxplot for both RSD and MV. The +plots give rough guardian for how to select the right thresholds of RSD +and MV. If the filtering results are not satisfied, for example, too many +or too few of peaks' removal, user can run filtering again by setting +new thresholds of RSD and MV based on the distribution plots. + +It should be noted that threshold of RSD has large influences on filtering. +If too many peaks have been removed, user should consider to increase +threshold or not to perform QC filtering at all. + +</help> + <citations> + </citations> +</tool>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/fs_filter.R Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,320 @@ +#' wl-06-11-2018, Tue: filter functions for DIMSP +#' wl-01-03-2019, Fri: reformat with 'styler' and change comment string to +#' "#'" for 'lintr'. + +suppressPackageStartupMessages({ + library(reshape) + library(lattice) + library(impute) + library(pcaMethods) +}) + +#' ========================================================================= +#' wl-02-06-2011: Relative standard deviation of matrix/data frame in +#' column wise +rsd <- function(x) { + mn <- colMeans(x, na.rm = TRUE) + std <- apply(x, 2, sd, na.rm = TRUE) + #' std <- sd(x,na.rm=TRUE) #' sd(<data.frame>) is deprecated. + res <- 100 * std / mn + return(res) +} + +#' ======================================================================= +#' wl-11-12-2007: Statistics and plot for missing values +mv.stats <- function(dat, grp = NULL, ...) { + #' overall missing values rate + mv.all <- sum(is.na(as.matrix(dat))) / length(as.matrix(dat)) + + #' MV stats function for vector + vec.func <- + function(x) round(sum(is.na(x) | is.nan(x)) / length(x), digits = 3) + #' vec.func <- function(x) sum(is.na(x)|is.nan(x)) #' number of MV + #' sum(is.na(x)|is.nan(x)|(x==0)) + + #' get number of Na, NaN and zero in each of feature/variable + #' mv.rep <- apply(dat, 1, vec.func) + mv.var <- apply(dat, 2, vec.func) + + ret <- list(mv.overall = mv.all, mv.var = mv.var) + + #' ------------------------------------------------------------------- + if (!is.null(grp)) { + #' MV rate with respect of variables and class info + mv.grp <- sapply(levels(grp), function(y) { + idx <- (grp == y) + mat <- dat[idx, ] + mv <- apply(mat, 2, vec.func) + }) + #' -------------------------------------------------------------------- + #' wl-10-10-2011: Use aggregate. Beware that values passed in the + #' function is vector(columns). + #' mv.grp <- aggregate(dat, list(cls), vec.func) + #' rownames(mv.grp) <- mv.grp[,1] + #' mv.grp <- mv.grp[,-1] + #' mv.grp <- as.data.frame(t(mv.grp),stringsAsFactors=F) + + #' reshape matrix for lattice + mv.grp.1 <- data.frame(mv.grp) + mv.grp.1$all <- mv.var #' Combine all + + var <- rep(1:nrow(mv.grp.1), ncol(mv.grp.1)) + mv.grp.1 <- stack(mv.grp.1) + mv.grp.1$ind <- factor(mv.grp.1$ind, + levels = unique.default(mv.grp.1$ind) + ) + mv.grp.1$var <- var + + mv.grp.plot <- + xyplot(values ~ var | ind, + data = mv.grp.1, groups = ind, as.table = T, + layout = c(1, nlevels(mv.grp.1$ind)), type = "l", + auto.key = list(space = "right"), + #' main="Missing Values Percentage With Respect of Variables", + xlab = "Index of variables", ylab = "Percentage of missing values", + ... + ) + + #' -------------------------------------------------------------------- + ret$mv.grp <- mv.grp + ret$mv.grp.plot <- mv.grp.plot + } + + ret +} + +#' ========================================================================= +#' wl-11-10-2011: replace zero/negative with NA. +mv.zene <- function(dat) { + vec.func <- function(x) { + x <- ifelse(x < .Machine$double.eps, NA, x) #' vectorisation of ifelse + } + + dat <- as.data.frame(dat, stringsAsFactors = F) + res <- sapply(dat, function(i) vec.func(i)) + return(res) +} + +#' ======================================================================== +#' wl-06-11-2018, Tue: feature filter index based on missing values +#' Arguments: +#' x: a data frame where columns are features +#' thres_mv: threshold of missing values. Features less than this +#' threshold will be kept. +#' Return: +#' a logical vector of index for keeping features +.mv_filter <- function(x, thres_mv = 0.30) { + res <- mv.stats(x) + idx <- res$mv.var < thres_mv + return(idx) +} + +#' ======================================================================== +#' wl-06-11-2018, Tue: feature filter index based on RSD +#' Arguments: +#' x: a data frame where columns are features +#' thres_rsd: threshold of RSD. Features less than this threshold will be +#' kept. +#' Return: +#' a logical vector of index for keeping features +.rsd_filter <- function(x, thres_rsd = 20) { + res <- rsd(x) + idx <- res < thres_rsd + idx[is.na(idx)] <- FALSE + #' some stats + if (F) { + summary(res) + tmp <- hist(res, plot = F)$counts + hist(res, + xlab = "rsd", ylab = "Counts", col = "lightblue", + ylim = c(0, max(tmp) + 10) + ) + } + return(idx) +} + +#' ======================================================================== +#' wl-06-11-2018, Tue: Feature filtering based on missing values of samples +#' Arguments: +#' data: a data matrix list including "sample", "qc" and "blank" +#' thres_mv: threshold of missing values on sample. Features less than this +#' threshold will be kept. +#' Return: +#' a filtered data list including "sample", "qc" and "blank" +mv_filter <- function(data, thres_mv = 0.30) { + idx <- .mv_filter(data$sample, thres_mv = thres_mv) + data <- lapply(data, function(x) { + x <- x[, idx] + }) + + return(data) +} + +#' ======================================================================== +#' wl-06-11-2018, Tue: Feature filtering based on QC's RSD +#' wl-14-11-2018, Wed: add flag to missing value filtering +#' Arguments: +#' data: a data matrix list including "sample", "qc" and "blank" +#' thres_rsd: threshold of RSD on QC. Features less than this +#' threshold will be kept. +#' f_mv: a flag indicating whether or not to performance missing value +#' filtering. +#' f_mv_qc: a flag for filtering using percentage of missing values on "qc" +#' or "sample". TRUE is for "qc". +#' thres_mv: threshold of missing values. Features less than this +#' threshold will be kept. +#' Return: +#' a filtered data list including "sample", "qc" and "blank" +qc_filter <- function(data, thres_rsd = 20, f_mv = TRUE, + f_mv_qc = FALSE, thres_mv = 0.30) { + #' ---------------------------------------------------------------------- + #' 1) filtering based on missing values: sample or qc. + if (f_mv) { + if (f_mv_qc) { + mat <- data$qc + } else { + mat <- data$sample + } + idx <- .mv_filter(mat, thres_mv = thres_mv) + data <- lapply(data, function(x) { + x <- x[, idx] + }) + } + + #' ---------------------------------------------------------------------- + #' 2) filtering based rsd of "qc" + idx <- .rsd_filter(data$qc, thres_rsd = thres_rsd) + data <- lapply(data, function(x) { + x <- x[, idx] + }) + + return(data) +} + +#' ======================================================================== +#' wl-06-11-2018, Tue: Feature filtering based on blank +#' wl-14-11-2018, Wed: change order of missing value filtering +#' Arguments: +#' data: a data matrix list including "sample", "qc" and "blank" +#' method: method for stats. Support "mean", "median" and "max" +#' factor: multiplier for blank stats +#' f_mv: a flag indicating whether or not to performance missing value +#' filtering. +#' thres_mv: threshold of missing values on QC. Features less than this +#' threshold will be kept. +#' Return: +#' a filtered data list including "sample", "qc" and "blank" +blank_filter <- function(data, method = c("mean", "median", "max"), + factor = 1, f_mv = TRUE, thres_mv = 0.30) { + method <- match.arg(method) + #' ---------------------------------------------------------------------- + #' 1) filtering based on missing values of "sample". + if (f_mv) { + idx <- .mv_filter(data$sample, thres_mv = thres_mv) + data <- lapply(data, function(x) { + x <- x[, idx] + }) + } + + #' ---------------------------------------------------------------------- + #' 2) filtering based on characteristics of blank intensities: mean, median + #' or max + + stats.blank <- apply(data$blank, 2, method, na.rm = TRUE) + stats.blank <- factor * stats.blank + stats.sample <- apply(data$sample, 2, method, na.rm = TRUE) + + #' keep features with sample stats are larger than blank + idx <- stats.sample >= stats.blank + idx[is.na(idx)] <- FALSE + #' Also keep features whose values are NA in blank + idx.1 <- is.na(stats.blank) + #' take union + idx <- idx | idx.1 + + data <- lapply(data, function(x) { + x <- x[, idx] + }) + + return(data) +} + +#' ======================================================================= +#' wl-19-11-2018, Mon: wrapper function for distribution of data stats such +#' as rsd and percentage of missing values. +#' Arguments: +#' x: an vector list including "sample", "qc" and "blank" +#' main: plot title +#' Return: +#' a list of lattice plot objects including histogram and boxplot +dist_plot <- function(x, main = "") { + x <- melt(x) + p.hist <- histogram(~ value | L1, + data = x, + type = "count", #' type="density", + nint = 100, + as.table = T, layout = c(1, 3), main = main, + scales = list(cex = .75, relation = "free") + ) + + #' --------------------------------------------------------------------- + #' histogram with density (problem with missing values) + #' --------------------------------------------------------------------- + #' p <- histogram(~ value | L1, data = x, type = 'density',nint = 50, + #' as.table=T, layout = c(1,3), main=main, + #' scales=list(cex =.75,relation="free"), + #' panel = function(x, subscripts, ...) { + #' panel.histogram(x, ...) + #' panel.mathdensity(dnorm, col = 'red', ...) + #' panel.densityplot(x, plot.points = FALSE, col = 'navy',...) + #' } ) + + #' boxplot + p.box <- bwplot(value ~ L1, data = x, main = main) + + return(list(p.hist = p.hist, p.box = p.box)) +} + +#' ======================================================================== +#' lwc-23-04-2010: Fill the zero/NA values by univariate. +mv.fill <- function(dat, method = "mean", ze_ne = FALSE) { + method <- + if (is.function(method)) { + method + } else if (is.character(method)) { + get(method) + } else { + eval(method) + } + + vec.func <- function(x) { + if (ze_ne) { + x <- ifelse(x < .Machine$double.eps, NA, x) + #' vectorisation of ifelse + } + m <- method(x, na.rm = TRUE) + + x[is.na(x)] <- m + x + } + + dat <- as.data.frame(dat, stringsAsFactors = F) + res <- sapply(dat, function(i) vec.func(i)) + return(res) +} + +#' ======================================================================= +#' wl-20-11-2018, Tue: Missing value imputation +mv.impute <- function(x, method = c("mean", "median", "min", "knn", "pca")) { + method <- match.arg(method) + if (method == "knn") { + x <- t(impute::impute.knn(t(x))$data) + #' x <- suppressWarnings(t(impute.knn(t(x))$data)) + } else if (method == "pca") { + x <- pcaMethods::pca(x, method = "ppca", nPcs = 5)@completeObs + x[x < 0] <- min(x[x > 0]) #' in case negative value + } else { + x <- mv.fill(x, method = method) + } + x <- as.data.frame(x) +}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/macros.xml Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,33 @@ +<macros> + <xml name="requirements"> + <requirements> + <requirement type="package" version="1.6.4">r-optparse</requirement> + <requirement type="package" version="5.0.0">r-writexls</requirement> + <requirement type="package" version="0.8.8">r-reshape</requirement> + <requirement type="package" version="0.20_38">r-lattice</requirement> + <requirement type="package" version="1.12.2">r-data.table</requirement> + <requirement type="package" version="3.6.1">bioconductor-xcms</requirement> + <requirement type="package" version="1.58.0">bioconductor-impute</requirement> + <requirement type="package" version="1.76.0">bioconductor-pcaMethods</requirement> + </requirements> + </xml> + <xml name="stdio"> + <stdio> + <regex match="Execution halted" + source="both" + level="fatal" + description="Execution halted." /> + <regex match="Error in" + source="both" + level="fatal" + description="An undefined error occurred, please check your input + carefully and contact your administrator." /> + <regex match="Fatal error" + source="both" + level="fatal" + description="An undefined error occurred, please check your input + carefully and contact your administrator." /> + </stdio> + </xml> + +</macros>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/LipidList_generator/Negative_LipidList.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,1967 @@ +mz name +185.1547 FA(11:0)_[M-H]1- +197.1547 FA(12:1)_[M-H]1- +199.1704 FA(12:0)_[M-H]1- +209.1183 OCT(C12H18O3)_jasmonic acid_[M-H]1- +211.134 OCT(C12H20O3)_dihydrojasmonic_acid_[M-H]1- +213.186 FA(13:0)_[M-H]1- +215.1653 FA(12:0)-OH_[M-H]1- +223.134 OCT(C13H20O3)_methyl_jasmonate_[M-H]1- +225.1132 OCT(C12H18O4)_[M-H]1- +225.186 FA(14:1)_[M-H]1- +227.1289 OCT(C12H20O4)_[M-H]1- +227.2017 FA(14:0)_[M-H]1- +237.1496 OCT(C14H22O3)_[M-H]1- +239.1653 OCT(C14H24O3)_[M-H]1- +239.2017 FA(15:1)_[M-H]1- +241.2173 FA(15:0)_[M-H]1- +243.1966 FA(14:0)-OH_[M-H]1- +249.186 FA(16:3)_[M-H]1- +251.2017 FA(16:2)_[M-H]1- +253.2173 FA(16:1)_[M-H]1- +255.233 FA(16:0)_[M-H]1- +257.2122 FA(15:0)-OH_[M-H]1- +265.1809 OCT(C16H26O3)_[M-H]1- +265.2173 FA(17:2)_[M-H]1- +267.1966 OCT(C16H28O3)_[M-H]1- +267.233 FA(17:1)_[M-H]1- +268.3884 2H-IS_FA_15_[M-H]1- 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LPC_11:0_[M+Cl]1- +460.26 LPC-2O_12:0_[M+Cl]1- +462.2626 LPE_17:2_[M-H]1- +464.2783 LPE_17:1_[M-H]1- +464.3018 BA(GCA)_[M-H]1- +464.3146 LPE-O_18:1_[M-H]1- +466.2211 LPS_14:1_[M-H]1- +466.2575 PE_16:0_[M-H]1- +466.2939 LPE_17:0_[M-H]1- +466.3303 LPE-O_18:0_[M-H]1- +467.2415 LPG_15:1_[M-H]1- +467.2779 LPG-P_16:0_[M-H]1- +468.2368 LPS_14:0_[M-H]1- +469.2572 LPG_15:0_[M-H]1- +469.2936 LPG-O_16:0_[M-H]1- +470.2524 PC-O_10:0_[M+OAC]1- +472.2236 PC-O_12:1_[M+Cl]1- +472.247 LPE_18:4_[M-H]1- +474.2393 LPC_12:0_[M+Cl]1- +474.2626 LPE_18:3_[M-H]1- +474.2757 LPC-2O_13:0_[M+Cl]1- +476.2783 LPE_18:2_[M-H]1- +476.3146 LPE-P_19:1_[M-H]1- +478.2939 LPE_18:1_[M-H]1- +478.4266 Cer_30:2_[M-H]1- +478.5528 2H-IS_LPC_[M+OAC]1- +479.2779 PA_20:0_[M-H]1- +479.5588 2H-IS_LPC_[M+OAC]1- +480.156 PC_12:2_[M+Cl]1- +480.2368 LPS_15:1_[M-H]1- +480.2732 LPS-P_16:0_[M-H]1- +480.3096 LPE_18:0_[M-H]1- +480.4422 Cer_30:1_[M-H]1- +480.5684 2H-IS_LPC_[M+OAC]1- +481.2572 LPG_16:1_[M-H]1- +481.5684 2H-IS_LPC_[M+OAC]1- +482.2524 LPS_15:0_[M-H]1- +482.2888 LPS-O_16:0_[M-H]1- +482.2955 BA(TLCA)_[M-H]1- +483.2728 LPG_16:0_[M-H]1- +484.2317 PC_10:0_[M+OAC]1- +484.2681 LPC_11:0_[M+OAC]1- +484.3045 LPC-2O_12:0_[M+OAC]1- +486.2393 PC-O_13:1_[M+Cl]1- +486.2757 LPC-O_14:1_[M+Cl]1- +488.2186 PC_12:0_[M+Cl]1- +488.2549 LPC_13:0_[M+Cl]1- +488.2913 LPC-2O_14:0_[M+Cl]1- +492.3096 LPE_19:1_[M-H]1- +492.3459 LPE-P_20:0_[M-H]1- +493.2572 LPG_17:2_[M-H]1- +494.2524 LPS_16:1_[M-H]1- +494.3252 LPE_19:0_[M-H]1- +494.3616 LPE-O_20:0_[M-H]1- +495.2728 LPG_17:1_[M-H]1- +495.3092 LPG-P_18:0_[M-H]1- +496.2681 PC-O_12:1_[M+OAC]1- / LPS_16:0_[M-H]1- +497.2521 PG_16:0_[M-H]1- +497.2885 LPG_17:0_[M-H]1- +497.3249 LPG-O_18:0_[M-H]1- +498.2626 LPE_20:5_[M-H]1- +498.2837 LPC_12:0_[M+OAC]1- +498.2904 BA(TDCA)_[M-H]1- +498.3201 LPC-2O_13:0_[M+OAC]1- +500.2549 LPC_14:1_[M+Cl]1- +500.2783 LPE_20:4_[M-H]1- +500.2913 LPC-P_15:0_[M+Cl]1- +502.2706 PC-O_14:0_[M+Cl]1- +502.2939 LPE_20:3_[M-H]1- +502.307 LPC-2O_15:0_[M+Cl]1- +503.2415 LPG_18:4_[M-H]1- +504.2004 PC_12:2_[M+OAC]1- +504.3096 LPE_20:2_[M-H]1- +504.4422 Cer_32:3_[M-H]1- +505.2572 LPG_18:3_[M-H]1- +505.4262 FAHFA_POHPO_[M-H]1- +506.2524 LPS_17:2_[M-H]1- +506.3252 LPE_20:1_[M-H]1- +506.4579 Cer_32:2_[M-H]1- +507.2728 LPG_18:2_[M-H]1- +507.4419 FAHFA_PAHPO_[M-H]1- +508.2681 LPS_17:1_[M-H]1- +508.3045 LPS-P_18:0_[M-H]1- +508.3409 LPE_20:0_[M-H]1- +508.4735 Cer_32:1_[M-H]1- +509.2885 LPG_18:1_[M-H]1- +509.4575 FAHFA_PAHPA_[M-H]1- +510.2474 PS_16:0_[M-H]1- +510.2837 PC-O_13:1_[M+OAC]1- / LPS_17:0_[M-H]1- +510.3201 LPC-O_14:1_[M+OAC]1- / LPS-O_18:0_[M-H]1- +511.3041 LPG_18:0_[M-H]1- +512.263 PC_12:0_[M+OAC]1- +512.2994 LPC_13:0_[M+OAC]1- +512.3358 LPC-2O_14:0_[M+OAC]1- +514.2706 LPC_15:1_[M+Cl]1- +514.2853 BA(TCA)_[M-H]1- +514.307 LPC-O_16:1_[M+Cl]1- +514.4032 Cer_30:2_[M+Cl]1- +515.2263 LPI_12:0_[M-H]1- +516.2368 LPS_18:4_[M-H]1- +516.2499 PC_14:0_[M+Cl]1- +516.2862 LPC_15:0_[M+Cl]1- +516.3226 LPC-2O_16:0_[M+Cl]1- +516.4189 Cer_30:1_[M+Cl]1- +518.2524 LPS_18:3_[M-H]1- +520.2681 LPS_18:2_[M-H]1- +520.4735 Cer_33:2_[M-H]1- +522.2837 LPS_18:1_[M-H]1- +522.3201 PE_20:0_[M-H]1- +522.3565 LPE_21:0_[M-H]1- +522.4892 Cer_33:1_[M-H]1- +523.3041 LPG_19:1_[M-H]1- +523.3405 LPG-P_20:0_[M-H]1- +524.2783 LPE_22:6_[M-H]1- +524.2994 LPC_14:1_[M+OAC]1- / LPS_18:0_[M-H]1- +524.3358 LPC-P_15:0_[M+OAC]1- +525.3198 LPG_19:0_[M-H]1- +525.3562 LPG-O_20:0_[M-H]1- +526.315 PC-O_14:0_[M+OAC]1- +526.3514 LPC-2O_15:0_[M+OAC]1- +528.2862 LPC_16:1_[M+Cl]1- +528.3096 LPE_22:4_[M-H]1- +528.3226 LPC-P_17:0_[M+Cl]1- +529.2419 LPI_13:0_[M-H]1- +529.2572 LPG_20:5_[M-H]1- +530.3019 PC-O_16:0_[M+Cl]1- +530.3383 LPC-2O_17:0_[M+Cl]1- +531.2728 LPG_20:4_[M-H]1- +532.3409 LPE_22:2_[M-H]1- +532.4735 Cer_34:3_[M-H]1- +533.2885 LPG_20:3_[M-H]1- +533.4575 FAHFA_PAHOA_[M-H]1- +534.3565 LPE_22:1_[M-H]1- +534.4892 Cer_34:2_[M-H]1- +535.3041 LPG_20:2_[M-H]1- +535.3405 PA_24:0_[M-H]1- +535.4732 FAHFA_PAHSA_[M-H]1- +536.2186 PC_16:2_[M+Cl]1- +536.2994 LPS_19:1_[M-H]1- +536.3358 LPS-P_20:0_[M-H]1- +536.3722 LPE_22:0_[M-H]1- +536.5048 Cer_34:1_[M-H]1- +537.3198 LPG_20:1_[M-H]1- +538.315 LPC_15:1_[M+OAC]1- / LPS_19:0_[M-H]1- +538.3514 LPC-O_16:1_[M+OAC]1- / LPS-O_20:0_[M-H]1- +538.4477 Cer_30:2_[M+OAC]1- +539.3354 LPG_20:0_[M-H]1- +540.2862 LPC_17:2_[M+Cl]1- +540.2943 PC_14:0_[M+OAC]1- +540.3226 LPC-P_18:1_[M+Cl]1- +540.3307 LPC_15:0_[M+OAC]1- +540.3671 LPC-2O_16:0_[M+OAC]1- +540.4189 Cer_32:3_[M+Cl]1- +540.4633 Cer_30:1_[M+OAC]1- +541.2419 LPI_14:1_[M-H]1- +542.2524 LPS_20:5_[M-H]1- +542.3019 LPC_17:1_[M+Cl]1- +542.3383 LPC-O_18:1_[M+Cl]1- +542.4345 Cer_32:2_[M+Cl]1- +543.2576 LPI_14:0_[M-H]1- +544.2681 LPS_20:4_[M-H]1- +544.2812 PC_16:0_[M+Cl]1- +544.3175 PC-O_17:0_[M+Cl]1- +544.3539 LPC-2O_18:0_[M+Cl]1- +544.4502 Cer_32:1_[M+Cl]1- +546.2837 LPS_20:3_[M-H]1- +548.2994 LPS_20:2_[M-H]1- +548.5048 Cer_35:2_[M-H]1- +549.3562 PA_25:0_[M-H]1- +550.2706 LPC_18:4_[M+Cl]1- +550.315 LPS_20:1_[M-H]1- +550.5205 Cer_35:1_[M-H]1- +552.2862 LPC_18:3_[M+Cl]1- +552.3307 LPC_16:1_[M+OAC]1- / LPS_20:0_[M-H]1- +552.3671 LPC-P_17:0_[M+OAC]1- +553.3147 PG_20:0_[M-H]1- +553.3511 LPG_21:0_[M-H]1- +554.3019 LPC_18:2_[M+Cl]1- +554.3383 LPC-O_19:1_[M+Cl]1- +554.3463 PC-O_16:0_[M+OAC]1- +554.3827 LPC-2O_17:0_[M+OAC]1- +555.2576 LPI_15:1_[M-H]1- +555.2728 LPG_22:6_[M-H]1- +555.294 LPI-P_16:0_[M-H]1- +556.3175 PC-O_18:1_[M+Cl]1- +556.3539 LPC-2O_19:1_[M+Cl]1- +556.4502 Cer_33:2_[M+Cl]1- +557.2732 LPI_15:0_[M-H]1- +557.3096 LPI-O_16:0_[M-H]1- +558.3332 PC-O_18:0_[M+Cl]1- +558.3696 LPC-2O_19:0_[M+Cl]1- +558.4658 Cer_33:1_[M+Cl]1- +559.3041 LPG_22:4_[M-H]1- +560.263 PC_16:2_[M+OAC]1- +560.5048 Cer_36:3_[M-H]1- +561.3562 PA_26:1_[M-H]1- +561.4888 FAHFA_OAHOA_[M-H]1- +562.5205 Cer_36:2_[M-H]1- +563.3354 LPG_22:2_[M-H]1- +563.3718 PA_26:0_[M-H]1- +563.5045 FAHFA_OAHSA/SAHOA_[M-H]1- +564.3307 LPC_17:2_[M+OAC]1- +564.3671 LPC-P_18:1_[M+OAC]1- / PE_23:0_[M-H]1- +564.4633 Cer_32:3_[M+OAC]1- +564.5361 Cer_36:1_[M-H]1- +564.6821 2H-IS_Cer_[M-H]1- +565.3511 LPG_22:1_[M-H]1- +565.6881 2H-IS_Cer_[M-H]1- +566.3019 LPC_19:3_[M+Cl]1- +566.31 PS_20:0_[M-H]1- +566.3463 LPC_17:1_[M+OAC]1- / LPS_21:0_[M-H]1- +566.3827 LPC-O_18:1_[M+OAC]1- +566.479 Cer_32:2_[M+OAC]1- +566.6935 2H-IS_Cer_[M-H]1- +567.3667 LPG_22:0_[M-H]1- +567.6985 2H-IS_Cer_[M-H]1- +568.2681 LPS_22:6_[M-H]1- +568.3256 PC_16:0_[M+OAC]1- +568.362 PC-O_17:0_[M+OAC]1- +568.3984 LPC-2O_18:0_[M+OAC]1- +568.4502 Cer_34:3_[M+Cl]1- +568.4946 Cer_32:1_[M+OAC]1- +568.7027 2H-IS_Cer_[M-H]1- +569.2732 LPI_16:1_[M-H]1- +570.2968 PC_18:1_[M+Cl]1- +570.3332 PC-O_19:1_[M+Cl]1- +570.3696 LPC-2O_20:1_[M+Cl]1- +570.4658 Cer_34:2_[M+Cl]1- +571.2889 LPI_16:0_[M-H]1- +572.2994 LPS_22:4_[M-H]1- +572.3125 PC_18:0_[M+Cl]1- +572.3488 PC-O_19:0_[M+Cl]1- +572.3852 LPC-2O_20:0_[M+Cl]1- +572.4815 Cer_34:1_[M+Cl]1- +574.315 LPC_18:4_[M+OAC]1- +575.3718 PA_27:1_[M-H]1- +576.2862 LPC_20:5_[M+Cl]1- +576.3307 LPC_18:3_[M+OAC]1- / LPS_22:2_[M-H]1- +576.5361 Cer_37:2_[M-H]1- +577.3875 PA_27:0_[M-H]1- +578.3019 LPC_20:4_[M+Cl]1- +578.3463 LPC_18:2_[M+OAC]1- / LPS_22:1_[M-H]1- +578.3827 LPC-O_19:1_[M+OAC]1- / PE_24:0_[M-H]1- +578.5518 Cer_37:1_[M-H]1- +580.3175 LPC_20:3_[M+Cl]1- +580.362 PC-O_18:1_[M+OAC]1- / LPS_22:0_[M-H]1- +580.3984 LPC-2O_19:1_[M+OAC]1- +580.4946 Cer_33:2_[M+OAC]1- +581.2732 LPI_17:2_[M-H]1- +582.3332 PC-O_20:2_[M+Cl]1- +582.3776 PC-O_18:0_[M+OAC]1- +582.414 LPC-2O_19:0_[M+OAC]1- +582.5103 Cer_33:1_[M+OAC]1- +583.2889 LPI_17:1_[M-H]1- +583.3253 LPI-P_18:0_[M-H]1- +584.3125 PC_19:1_[M+Cl]1- +584.3488 PC-O_20:1_[M+Cl]1- +584.4815 Cer_35:2_[M+Cl]1- +585.3045 LPI_17:0_[M-H]1- +585.3409 LPI-O_18:0_[M-H]1- +586.3281 PC_19:0_[M+Cl]1- +586.3645 PC-O_20:0_[M+Cl]1- +586.4009 LPC-2O_21:0_[M+Cl]1- +586.4971 Cer_35:1_[M+Cl]1- +587.3718 PA_28:2_[M-H]1- +588.5361 Cer_38:3_[M-H]1- +589.3875 PA_28:1_[M-H]1- +590.3463 LPC_19:3_[M+OAC]1- +590.5518 Cer_38:2_[M-H]1- +591.2576 LPI_18:4_[M-H]1- +591.4031 PA_28:0_[M-H]1- +592.2812 PC_20:4_[M+Cl]1- +592.3175 LPC_21:4_[M+Cl]1- +592.3984 PE_25:0_[M-H]1- +592.4946 Cer_34:3_[M+OAC]1- +592.5674 Cer_38:1_[M-H]1- +593.2732 LPI_18:3_[M-H]1- +594.3413 PC_18:1_[M+OAC]1- +594.3776 PC-O_19:1_[M+OAC]1- +594.414 LPC-2O_20:1_[M+OAC]1- +594.5103 Cer_34:2_[M+OAC]1- +595.2889 LPI_18:2_[M-H]1- +596.3569 PC_18:0_[M+OAC]1- +596.3933 PC-O_19:0_[M+OAC]1- +596.4297 LPC-2O_20:0_[M+OAC]1- +596.4815 Cer_36:3_[M+Cl]1- +596.5259 Cer_34:1_[M+OAC]1- +597.3045 LPI_18:1_[M-H]1- +598.3281 PC_20:1_[M+Cl]1- +598.3645 PC-O_21:1_[M+Cl]1- +598.4971 Cer_36:2_[M+Cl]1- +599.3202 LPI_18:0_[M-H]1- +600.3307 LPC_20:5_[M+OAC]1- +600.3438 PC_20:0_[M+Cl]1- +600.3801 PC-O_21:0_[M+Cl]1- +600.5128 Cer_36:1_[M+Cl]1- +600.6593 2H-IS_Cer_[M+Cl]1- +601.3875 PA_29:2_[M-H]1- +601.6652 2H-IS_Cer_[M+Cl]1- +602.3019 LPC_22:6_[M+Cl]1- +602.3463 LPC_20:4_[M+OAC]1- +602.6707 2H-IS_Cer_[M+Cl]1- +603.4031 PA_29:1_[M-H]1- +603.6754 2H-IS_Cer_[M+Cl]1- +604.362 LPC_20:3_[M+OAC]1- +604.3984 PE_26:1_[M-H]1- +604.5674 Cer_39:2_[M-H]1- +604.6681 2H-IS_Cer_[M+Cl]1- +605.4188 PA_29:0_[M-H]1- +605.6736 2H-IS_Cer_[M+Cl]1- +606.3332 LPC_22:4_[M+Cl]1- +606.3776 PC-O_20:2_[M+OAC]1- +606.414 PE_26:0_[M-H]1- +606.5831 Cer_39:1_[M-H]1- +608.3569 PC_19:1_[M+OAC]1- +608.3933 PC-O_20:1_[M+OAC]1- +608.5259 Cer_35:2_[M+OAC]1- +609.3773 PG_24:0_[M-H]1- +609.6813 2H-IS_Cer_U +610.3645 LPC_22:2_[M+Cl]1- +610.3726 PC_19:0_[M+OAC]1- +610.4089 PC-O_20:0_[M+OAC]1- +610.4453 LPC-2O_21:0_[M+OAC]1- +610.5416 Cer_35:1_[M+OAC]1- +610.6879 2H-IS_Cer_U +611.3202 LPI_19:1_[M-H]1- +611.3566 LPI-P_20:0_[M-H]1- +611.3718 PA_30:4_[M-H]1- +611.6936 2H-IS_Cer_U +612.3438 PC_21:1_[M+Cl]1- +612.3801 LPC_22:1_[M+Cl]1- +612.5128 Cer_37:2_[M+Cl]1- +612.6993 2H-IS_Cer_U +613.3358 LPI_19:0_[M-H]1- +613.3722 LPI-O_20:0_[M-H]1- +613.3875 PA_30:3_[M-H]1- +613.7047 2H-IS_Cer_U +614.3594 PC_21:0_[M+Cl]1- +614.3958 PC-O_22:0_[M+Cl]1- +614.5284 Cer_37:1_[M+Cl]1- +614.7094 2H-IS_Cer_U +615.4031 PA_30:2_[M-H]1- +615.7139 2H-IS_Cer_U +616.3256 PC_20:4_[M+OAC]1- +616.362 LPC_21:4_[M+OAC]1- +617.2732 LPI_20:5_[M-H]1- +617.4188 PA_30:1_[M-H]1- +618.414 PE_27:1_[M-H]1- +618.4504 PE-P_28:0_[M-H]1- +618.5831 Cer_40:2_[M-H]1- +619.2889 LPI_20:4_[M-H]1- +619.4344 PA_30:0_[M-H]1- +620.4297 PE_27:0_[M-H]1- +620.4661 PE-O_28:0_[M-H]1- +620.5259 Cer_36:3_[M+OAC]1- +620.5987 Cer_40:1_[M-H]1- +621.3045 LPI_20:3_[M-H]1- +622.3726 PC_20:1_[M+OAC]1- / PS_24:0_[M-H]1- +622.4089 PC-O_21:1_[M+OAC]1- +622.5416 Cer_36:2_[M+OAC]1- +623.3202 LPI_20:2_[M-H]1- +623.393 PG_25:0_[M-H]1- +624.3882 PC_20:0_[M+OAC]1- +624.4246 PC-O_21:0_[M+OAC]1- +624.5128 Cer_38:3_[M+Cl]1- +624.5572 Cer_36:1_[M+OAC]1- +624.7036 2H-IS_Cer_[M+OAc]1- +625.3358 LPI_20:1_[M-H]1- +625.3875 PA_31:4_[M-H]1- +625.7094 2H-IS_Cer_[M+OAc]1- +626.3463 LPC_22:6_[M+OAC]1- +626.3594 PC_22:1_[M+Cl]1- +626.5284 Cer_38:2_[M+Cl]1- +626.715 2H-IS_Cer_[M+OAc]1- +627.3515 LPI_20:0_[M-H]1- +627.4031 PA_31:3_[M-H]1- +627.7205 2H-IS_Cer_[M+OAc]1- +628.3751 PC_22:0_[M+Cl]1- +628.4478 LPC-2O_24:0_[M+Cl]1- +628.5441 Cer_38:1_[M+Cl]1- +628.6842 2H-IS_Cer_[M+OAc]1- +629.4188 PA_31:2_[M-H]1- +629.6899 2H-IS_Cer_[M+OAc]1- +630.3776 LPC_22:4_[M+OAC]1- +630.414 PE_28:2_[M-H]1- +630.6955 2H-IS_Cer_[M+OAc]1- +631.4344 PA_31:1_[M-H]1- +632.4297 PE_28:1_[M-H]1- +632.4661 PE-P_29:0_[M-H]1- +632.5987 Cer_41:2_[M-H]1- +633.4501 PA_31:0_[M-H]1- +634.4089 LPC_22:2_[M+OAC]1- +634.4453 PE_28:0_[M-H]1- +634.4817 PE-O_29:0_[M-H]1- +634.6144 Cer_41:1_[M-H]1- +635.393 PG_26:1_[M-H]1- +636.3882 PC_21:1_[M+OAC]1- / PS_25:0_[M-H]1- +636.4246 LPC_22:1_[M+OAC]1- +636.5572 Cer_37:2_[M+OAC]1- +637.3875 PA_32:5_[M-H]1- +637.4086 PG_26:0_[M-H]1- +638.4039 PC_21:0_[M+OAC]1- +638.4402 PC-O_22:0_[M+OAC]1- +638.5729 Cer_37:1_[M+OAC]1- +639.4031 PA_32:4_[M-H]1- +640.5441 Cer_39:2_[M+Cl]1- +641.3671 LPI_21:0_[M-H]1- +641.4188 PA_32:3_[M-H]1- +642.4271 LPC_24:0_[M+Cl]1- +642.5597 Cer_39:1_[M+Cl]1- +643.2889 LPI_22:6_[M-H]1- +643.4344 PA_32:2_[M-H]1- +644.4297 PE_29:2_[M-H]1- +644.4661 PE-P_30:1_[M-H]1- +645.4501 PA_32:1_[M-H]1- +646.4453 PE_29:1_[M-H]1- +646.4817 PE-O_30:1_[M-H]1- +646.6144 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PE_42:11_[M-H]1- +808.5134 PC_34:6_[M+OAC]1- / PS_38:5_[M-H]1- +808.5629 PC_35:1_[M+Cl]1- +808.5862 PE_41:4_[M-H]1- +808.5992 PC-O_36:1_[M+Cl]1- +808.6226 PE-O_42:4_[M-H]1- +809.5186 PI_32:0_[M-H]1- +809.5338 PG_39:5_[M-H]1- +809.5549 PI-O_33:0_[M-H]1- +809.5702 PG-O_40:5_[M-H]1- +809.6066 PA_44:3_[M-H]1- +810.4846 PC_36:7_[M+Cl]1- +810.5079 PE_42:10_[M-H]1- +810.5291 PC_34:5_[M+OAC]1- / PS_38:4_[M-H]1- +810.5785 PC_35:0_[M+Cl]1- +810.6018 PE_41:3_[M-H]1- +810.6149 PC-O_36:0_[M+Cl]1- +810.6382 PE-P_42:2_[M-H]1- +811.5495 PG_39:4_[M-H]1- +811.5858 PG-O_40:4_[M-H]1- +811.6222 PA_44:2_[M-H]1- +812.5003 PC_36:6_[M+Cl]1- +812.5236 PE_42:9_[M-H]1- +812.5447 PC_34:4_[M+OAC]1- / PS_38:3_[M-H]1- +812.5811 PC-O_35:4_[M+OAC]1- +812.6175 PE_41:2_[M-H]1- +812.6539 PE-O_42:2_[M-H]1- +813.456 PI_33:5_[M-H]1- +813.4712 PG_40:10_[M-H]1- +813.4923 PI-P_34:4_[M-H]1- +813.5651 PG_39:3_[M-H]1- +813.6015 PG-O_40:3_[M-H]1- +813.6127 SM_38:3_[M+OAC]1- +813.6379 PA_44:1_[M-H]1- +814.5159 PC_36:5_[M+Cl]1- 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PC_38:4_[M+Cl]1- +844.5862 PE_44:7_[M-H]1- +844.6073 PC_36:2_[M+OAC]1- / PS_40:1_[M-H]1- +844.6437 PC-O_37:2_[M+OAC]1- / PS-P_41:0_[M-H]1- +844.6801 PE_43:0_[M-H]1- +845.5186 PI_35:3_[M-H]1- +845.5338 PG_42:8_[M-H]1- +845.5549 PI-O_36:3_[M-H]1- +845.6277 PG_41:1_[M-H]1- +845.6641 PG-O_42:1_[M-H]1- +845.6753 SM_40:1_[M+OAC]1- +846.5291 PS_41:7_[M-H]1- +846.5654 PS-P_42:2_[M-H]1- +846.5785 PC_38:3_[M+Cl]1- +846.6018 PE_44:6_[M-H]1- +846.623 PC_36:1_[M+OAC]1- / PS_40:0_[M-H]1- +846.6593 PC-O_37:1_[M+OAC]1- / PS-O_41:0_[M-H]1- +846.7727 2H-IS__PC_[M+OAC]1- +847.5342 PI_35:2_[M-H]1- +847.5495 PG_42:7_[M-H]1- +847.5706 PI-O_36:2_[M-H]1- +847.6434 PG_41:0_[M-H]1- +847.6797 PG-O_42:0_[M-H]1- +847.691 SM_40:0_[M+OAC]1- +847.7785 2H-IS__PC_[M+OAC]1- +848.5447 PC_37:7_[M+OAC]1- / PS_41:6_[M-H]1- +848.5811 PC-P_38:6_[M+OAC]1- / PS-O_42:6_[M-H]1- +848.5942 PC_38:2_[M+Cl]1- +848.6175 PE_44:5_[M-H]1- +848.6305 PC-P_39:1_[M+Cl]1- +848.6386 PC_36:0_[M+OAC]1- +848.675 PC-O_37:0_[M+OAC]1- +848.7839 2H-IS__PC_[M+OAC]1- +849.456 PI_36:8_[M-H]1- +849.5499 PI_35:1_[M-H]1- +849.5651 PG_42:6_[M-H]1- +849.5862 PI-O_36:1_[M-H]1- +849.7888 2H-IS__PC_[M+OAC]1- +850.5159 PC_39:8_[M+Cl]1- +850.5604 PC_37:6_[M+OAC]1- / PS_41:5_[M-H]1- +850.5967 PC-O_38:6_[M+OAC]1- / PS-P_42:1_[M-H]1- +850.6098 PC_38:1_[M+Cl]1- +850.6331 PE_44:4_[M-H]1- +850.6462 PC-O_39:1_[M+Cl]1- +850.7924 2H-IS__PC_[M+OAC]1- +851.4716 PI_36:7_[M-H]1- +851.5655 PI_35:0_[M-H]1- +851.5808 PG_42:5_[M-H]1- +851.6019 PI-O_36:0_[M-H]1- +852.4821 PS_42:11_[M-H]1- +852.5316 PC_39:7_[M+Cl]1- +852.5679 PC-P_40:6_[M+Cl]1- +852.576 PC_37:5_[M+OAC]1- / PS_41:4_[M-H]1- +852.6124 PC-O_38:5_[M+OAC]1- / PS-O_42:4_[M-H]1- +852.6255 PC_38:0_[M+Cl]1- +852.6488 PE_44:3_[M-H]1- +852.6618 PC-O_39:0_[M+Cl]1- +852.6982 PC-2O_40:0_[M+Cl]1- +853.4873 PI_36:6_[M-H]1- +853.5964 PG_42:4_[M-H]1- +854.4978 PS_42:10_[M-H]1- +854.5472 PC_39:6_[M+Cl]1- +854.5836 PC-O_40:6_[M+Cl]1- +854.5917 PC_37:4_[M+OAC]1- / PS_41:3_[M-H]1- +854.628 PC-O_38:4_[M+OAC]1- / PS-P_42:0_[M-H]1- +854.6644 PE_44:2_[M-H]1- +855.5029 PI_36:5_[M-H]1- +855.6121 PG_42:3_[M-H]1- +856.5134 PS_42:9_[M-H]1- +856.5629 PC_39:5_[M+Cl]1- +856.5992 PC-O_40:5_[M+Cl]1- +856.6073 PC_37:3_[M+OAC]1- / PS_41:2_[M-H]1- +856.6437 PC-O_38:3_[M+OAC]1- / PS-O_42:2_[M-H]1- +856.6801 PE_44:1_[M-H]1- +857.5186 PI_36:4_[M-H]1- +857.6277 PG_42:2_[M-H]1- +857.6753 SM_41:1_[M+OAC]1- +858.5291 PC_38:9_[M+OAC]1- / PS_42:8_[M-H]1- +858.5785 PC_39:4_[M+Cl]1- +858.6149 PC-O_40:4_[M+Cl]1- +858.623 PC_37:2_[M+OAC]1- / PS_41:1_[M-H]1- +858.6593 PC-O_38:2_[M+OAC]1- / PS-O_42:1_[M-H]1- +858.6957 PE_44:0_[M-H]1- +859.5342 PI_36:3_[M-H]1- +859.5706 PI-P_37:2_[M-H]1- +859.6434 PG_42:1_[M-H]1- +859.691 SM_41:0_[M+OAC]1- +860.5003 PC_40:10_[M+Cl]1- +860.5447 PC_38:8_[M+OAC]1- / PS_42:7_[M-H]1- +860.5942 PC_39:3_[M+Cl]1- +860.6305 PC-O_40:3_[M+Cl]1- +860.6386 PC_37:1_[M+OAC]1- / PS_41:0_[M-H]1- +860.675 PC-O_38:1_[M+OAC]1- / PS-O_42:0_[M-H]1- +861.5499 PI_36:2_[M-H]1- +861.5862 PI-O_37:2_[M-H]1- +861.659 PG_42:0_[M-H]1- +862.5159 PC_40:9_[M+Cl]1- +862.5604 PC_38:7_[M+OAC]1- / PS_42:6_[M-H]1- +862.6098 PC_39:2_[M+Cl]1- +862.6462 PC-O_40:2_[M+Cl]1- +862.6543 PC_37:0_[M+OAC]1- +862.6906 PC-O_38:0_[M+OAC]1- +862.7069 2H-IS__PI_[M-H]1- +863.5655 PI_36:1_[M-H]1- +863.5808 PG_43:6_[M-H]1- +863.6019 PI-O_37:1_[M-H]1- +863.7131 2H-IS__PI_[M-H]1- +864.5316 PC_40:8_[M+Cl]1- +864.576 PC_38:6_[M+OAC]1- / PS_42:5_[M-H]1- +864.6255 PC_39:1_[M+Cl]1- +864.6618 PC-O_40:1_[M+Cl]1- +864.7191 2H-IS__PI_[M-H]1- +865.4873 PI_37:7_[M-H]1- +865.5025 PG_44:12_[M-H]1- +865.5236 PI-P_38:6_[M-H]1- +865.5812 PI_36:0_[M-H]1- +865.6175 PI-O_37:0_[M-H]1- +865.7244 2H-IS__PI_[M-H]1- +866.5472 PC_40:7_[M+Cl]1- +866.5917 PC_38:5_[M+OAC]1- / PS_42:4_[M-H]1- +866.6411 PC_39:0_[M+Cl]1- +866.6775 PC-O_40:0_[M+Cl]1- +866.7295 2H-IS__PI_[M-H]1- +867.5029 PI_37:6_[M-H]1- +867.5393 PI-O_38:6_[M-H]1- +867.6121 PG_43:4_[M-H]1- +867.7331 2H-IS__PI_[M-H]1- +868.5629 PC_40:6_[M+Cl]1- +868.6073 PC_38:4_[M+OAC]1- / PS_42:3_[M-H]1- +868.7361 2H-IS__PI_[M-H]1- +869.5186 PI_37:5_[M-H]1- +869.5338 PG_44:10_[M-H]1- +869.5549 PI-O_38:5_[M-H]1- +869.6753 SM_42:3_[M+OAC]1- +869.7398 2H-IS__PI_[M-H]1- +870.5785 PC_40:5_[M+Cl]1- +870.623 PC_38:3_[M+OAC]1- / PS_42:2_[M-H]1- +871.5342 PI_37:4_[M-H]1- +871.5706 PI-O_38:4_[M-H]1- +871.6434 PG_43:2_[M-H]1- +871.691 SM_42:2_[M+OAC]1- +872.5942 PC_40:4_[M+Cl]1- +872.6386 PC_38:2_[M+OAC]1- / PS_42:1_[M-H]1- +872.675 PC-P_39:1_[M+OAC]1- +873.5499 PI_37:3_[M-H]1- +873.5651 PG_44:8_[M-H]1- +873.5862 PI-O_38:3_[M-H]1- +873.659 PG_43:1_[M-H]1- +873.7066 SM_42:1_[M+OAC]1- +874.5604 PC_39:8_[M+OAC]1- +874.6098 PC_40:3_[M+Cl]1- +874.6543 PC_38:1_[M+OAC]1- / PS_42:0_[M-H]1- +874.6906 PC-O_39:1_[M+OAC]1- +875.4716 PI_38:9_[M-H]1- +875.5655 PI_37:2_[M-H]1- +875.5808 PG_44:7_[M-H]1- +875.6019 PI-O_38:2_[M-H]1- +875.6747 PG_43:0_[M-H]1- +875.7223 SM_42:0_[M+OAC]1- +876.576 PC_39:7_[M+OAC]1- / PS_43:6_[M-H]1- +876.6124 PC-P_40:6_[M+OAC]1- +876.6255 PC_40:2_[M+Cl]1- +876.6699 PC_38:0_[M+OAC]1- +876.7063 PC-O_39:0_[M+OAC]1- +876.7427 PC-2O_40:0_[M+OAC]1- +877.4873 PI_38:8_[M-H]1- +877.5812 PI_37:1_[M-H]1- +877.5964 PG_44:6_[M-H]1- +877.6175 PI-O_38:1_[M-H]1- +878.5917 PC_39:6_[M+OAC]1- +878.628 PC-O_40:6_[M+OAC]1- +878.6411 PC_40:1_[M+Cl]1- +878.6775 PC-P_41:0_[M+Cl]1- +879.5029 PI_38:7_[M-H]1- +879.5968 PI_37:0_[M-H]1- +879.6121 PG_44:5_[M-H]1- +879.6332 PI-O_38:0_[M-H]1- +880.5629 PC_41:7_[M+Cl]1- +880.5992 PC-P_42:6_[M+Cl]1- +880.6073 PC_39:5_[M+OAC]1- / PS_43:4_[M-H]1- +880.6437 PC-O_40:5_[M+OAC]1- +880.6568 PC_40:0_[M+Cl]1- +880.6931 PC-O_41:0_[M+Cl]1- +881.5186 PI_38:6_[M-H]1- +881.6277 PG_44:4_[M-H]1- +882.5291 PS_44:10_[M-H]1- +882.5785 PC_41:6_[M+Cl]1- +882.6149 PC-O_42:6_[M+Cl]1- +882.623 PC_39:4_[M+OAC]1- +882.6593 PC-O_40:4_[M+OAC]1- +883.5342 PI_38:5_[M-H]1- +883.6434 PG_44:3_[M-H]1- +884.5447 PC_40:10_[M+OAC]1- +884.5942 PC_41:5_[M+Cl]1- +884.6305 PC-P_42:4_[M+Cl]1- +884.6386 PC_39:3_[M+OAC]1- / PS_43:2_[M-H]1- +884.675 PC-O_40:3_[M+OAC]1- +884.7114 PE_46:1_[M-H]1- +885.5499 PI_38:4_[M-H]1- +885.659 PG_44:2_[M-H]1- +885.7066 SM_43_2_[M+OAC]1- +886.5159 PC_42:11_[M+Cl]1- +886.5604 PC_40:9_[M+OAC]1- / PS_44:8_[M-H]1- +886.6098 PC_41:4_[M+Cl]1- +886.6462 PC-O_42:4_[M+Cl]1- +886.6543 PC_39:2_[M+OAC]1- / PS_43:1_[M-H]1- +886.6906 PC-O_40:2_[M+OAC]1- +887.5655 PI_38:3_[M-H]1- +887.6747 PG_44:1_[M-H]1- +887.7223 SM_43_1_[M+OAC]1- +888.5316 PC_42:10_[M+Cl]1- +888.576 PC_40:8_[M+OAC]1- / PS_44:7_[M-H]1- +888.6255 PC_41:3_[M+Cl]1- +888.6618 PC-O_42:3_[M+Cl]1- +888.6699 PC_39:1_[M+OAC]1- / PS_43:0_[M-H]1- +888.7063 PC-O_40:1_[M+OAC]1- +889.5812 PI_38:2_[M-H]1- +889.6175 PI-P_39:1_[M-H]1- +889.6903 PG_44:0_[M-H]1- +890.5472 PC_42:9_[M+Cl]1- +890.5917 PC_40:7_[M+OAC]1- / PS_44:6_[M-H]1- +890.6411 PC_41:2_[M+Cl]1- +890.6775 PC-O_42:2_[M+Cl]1- +890.6856 PC_39:0_[M+OAC]1- +890.7219 PC-O_40:0_[M+OAC]1- +891.5029 PI_39:8_[M-H]1- +891.5968 PI_38:1_[M-H]1- +891.6332 PI-O_39:1_[M-H]1- +892.5629 PC_42:8_[M+Cl]1- +892.6073 PC_40:6_[M+OAC]1- / PS_44:5_[M-H]1- +892.6568 PC_41:1_[M+Cl]1- +892.6931 PC-O_42:1_[M+Cl]1- +893.5186 PI_39:7_[M-H]1- +893.5549 PI-P_40:6_[M-H]1- +893.6125 PI_38:0_[M-H]1- +893.6488 PI-O_39:0_[M-H]1- +894.5785 PC_42:7_[M+Cl]1- +894.623 PC_40:5_[M+OAC]1- / PS_44:4_[M-H]1- +894.6724 PC_41:0_[M+Cl]1- +894.7088 PC-O_42:0_[M+Cl]1- +895.5342 PI_39:6_[M-H]1- +895.5706 PI-O_40:6_[M-H]1- +896.5942 PC_42:6_[M+Cl]1- +896.6386 PC_40:4_[M+OAC]1- / PS_44:3_[M-H]1- +897.5499 PI_39:5_[M-H]1- +897.5862 PI-O_40:5_[M-H]1- +898.6098 PC_42:5_[M+Cl]1- +898.6543 PC_40:3_[M+OAC]1- / PS_44:2_[M-H]1- +899.5655 PI_39:4_[M-H]1- +899.6019 PI-O_40:4_[M-H]1- +899.7223 SM_44:2_[M+OAC]1- +900.6255 PC_42:4_[M+Cl]1- +900.6699 PC_40:2_[M+OAC]1- / PS_44:1_[M-H]1- +901.4873 PI_40:10_[M-H]1- +901.5812 PI_39:3_[M-H]1- +901.6175 PI-O_40:3_[M-H]1- +901.7379 SM_44:1_[M+OAC]1- +902.6411 PC_42:3_[M+Cl]1- +902.6856 PC_40:1_[M+OAC]1- / PS_44:0_[M-H]1- +902.7219 PC-P_41:0_[M+OAC]1- +903.5029 PI_40:9_[M-H]1- +903.5968 PI_39:2_[M-H]1- +903.6332 PI-O_40:2_[M-H]1- +903.7536 SM_44:0_[M+OAC]1- +904.6073 PC_41:7_[M+OAC]1- +904.6437 PC-P_42:6_[M+OAC]1- +904.6568 PC_42:2_[M+Cl]1- +904.7012 PC_40:0_[M+OAC]1- +904.7376 PC-O_41:0_[M+OAC]1- +905.5186 PI_40:8_[M-H]1- +905.6125 PI_39:1_[M-H]1- +905.6488 PI-O_40:1_[M-H]1- +906.623 PC_41:6_[M+OAC]1- +906.6593 PC-O_42:6_[M+OAC]1- +906.6724 PC_42:1_[M+Cl]1- +907.5342 PI_40:7_[M-H]1- +907.6281 PI_39:0_[M-H]1- +907.6645 PI-O_40:0_[M-H]1- +908.6386 PC_41:5_[M+OAC]1- +908.675 PC-P_42:4_[M+OAC]1- +908.6881 PC_42:0_[M+Cl]1- +909.5499 PI_40:6_[M-H]1- +910.5604 PC_42:11_[M+OAC]1- +910.6098 PC_43:6_[M+Cl]1- +910.6543 PC_41:4_[M+OAC]1- +910.6906 PC-O_42:4_[M+OAC]1- +911.5655 PI_40:5_[M-H]1- +912.5316 PC_44:12_[M+Cl]1- +912.576 PC_42:10_[M+OAC]1- +912.6618 PC-O_44:5_[M+Cl]1- +912.6699 PC_41:3_[M+OAC]1- +912.7063 PC-O_42:3_[M+OAC]1- +913.5812 PI_40:4_[M-H]1- +914.5917 PC_42:9_[M+OAC]1- +914.6411 PC_43:4_[M+Cl]1- +914.6775 PC-O_44:4_[M+Cl]1- +914.6856 PC_41:2_[M+OAC]1- +914.7219 PC-O_42:2_[M+OAC]1- +915.5968 PI_40:3_[M-H]1- +916.5629 PC_44:10_[M+Cl]1- +916.6073 PC_42:8_[M+OAC]1- +916.6931 PC-O_44:3_[M+Cl]1- +916.7012 PC_41:1_[M+OAC]1- +916.7376 PC-O_42:1_[M+OAC]1- +917.6125 PI_40:2_[M-H]1- +918.623 PC_42:7_[M+OAC]1- +918.6724 PC_43:2_[M+Cl]1- +918.7169 PC_41:0_[M+OAC]1- +918.7532 PC-O_42:0_[M+OAC]1- +919.6281 PI_40:1_[M-H]1- +919.6645 PI-P_41:0_[M-H]1- +920.5942 PC_44:8_[M+Cl]1- +920.6386 PC_42:6_[M+OAC]1- +920.6881 PC_43:1_[M+Cl]1- +921.5499 PI_41:7_[M-H]1- +921.5862 PI-P_42:6_[M-H]1- +921.6438 PI_40:0_[M-H]1- +921.6801 PI-O_41:0_[M-H]1- +922.6098 PC_44:7_[M+Cl]1- +922.6543 PC_42:5_[M+OAC]1- +922.7037 PC_43:0_[M+Cl]1- +923.5655 PI_41:6_[M-H]1- +923.6019 PI-O_42:6_[M-H]1- +924.6255 PC_44:6_[M+Cl]1- +924.6699 PC_42:4_[M+OAC]1- +925.5812 PI_41:5_[M-H]1- +925.6175 PI-P_42:4_[M-H]1- +926.6411 PC_44:5_[M+Cl]1- +926.6856 PC_42:3_[M+OAC]1- +927.5029 PI_42:11_[M-H]1- +927.5968 PI_41:4_[M-H]1- +927.6332 PI-O_42:4_[M-H]1- +928.6568 PC_44:4_[M+Cl]1- +928.7012 PC_42:2_[M+OAC]1- +929.5186 PI_42:10_[M-H]1- +929.6125 PI_41:3_[M-H]1- +929.6488 PI-P_42:2_[M-H]1- +930.6724 PC_44:3_[M+Cl]1- +930.7169 PC_42:1_[M+OAC]1- +931.5342 PI_42:9_[M-H]1- +931.6281 PI_41:2_[M-H]1- +931.6645 PI-O_42:2_[M-H]1- +932.6881 PC_44:2_[M+Cl]1- +932.7325 PC_42:0_[M+OAC]1- +933.5499 PI_42:8_[M-H]1- +933.6438 PI_41:1_[M-H]1- +933.6801 PI-O_42:1_[M-H]1- +934.6543 PC_43:6_[M+OAC]1- +934.7037 PC_44:1_[M+Cl]1- +935.5655 PI_42:7_[M-H]1- +935.6594 PI_41:0_[M-H]1- +935.6958 PI-O_42:0_[M-H]1- +936.576 PC_44:12_[M+OAC]1- +936.7063 PC-O_44:5_[M+OAC]1- +936.7194 PC_44:0_[M+Cl]1- +937.5812 PI_42:6_[M-H]1- +938.6856 PC_43:4_[M+OAC]1- +938.7219 PC-O_44:4_[M+OAC]1- +939.5968 PI_42:5_[M-H]1- +940.6073 PC_44:10_[M+OAC]1- +940.7376 PC-O_44:3_[M+OAC]1- +941.6125 PI_42:4_[M-H]1- +942.7169 PC_43:2_[M+OAC]1- +943.6281 PI_42:3_[M-H]1- +944.6386 PC_44:8_[M+OAC]1- +944.7325 PC_43:1_[M+OAC]1- +945.6438 PI_42:2_[M-H]1- +946.6543 PC_44:7_[M+OAC]1- +946.7482 PC_43:0_[M+OAC]1- +947.6594 PI_42:1_[M-H]1- +948.6699 PC_44:6_[M+OAC]1- +949.6751 PI_42:0_[M-H]1- +950.6856 PC_44:5_[M+OAC]1- +951.5968 PI_43:6_[M-H]1- +952.7012 PC_44:4_[M+OAC]1- +953.5186 PI_44:12_[M-H]1- +954.7169 PC_44:3_[M+OAC]1- +955.6281 PI_43:4_[M-H]1- +956.7325 PC_44:2_[M+OAC]1- +957.5499 PI_44:10_[M-H]1- +958.7482 PC_44:1_[M+OAC]1- +959.6594 PI_43:2_[M-H]1- +960.7194 PC_46:2_[M+Cl]1- +960.7638 PC_44:0_[M+OAC]1- +961.5812 PI_44:8_[M-H]1- +961.6751 PI_43:1_[M-H]1- +962.735 PC_46:1_[M+Cl]1- +962.7583 PE_52:4_[M-H]1- +963.5968 PI_44:7_[M-H]1- +963.6907 PI_43:0_[M-H]1- +964.7507 PC_46:0_[M+Cl]1- +965.6125 PI_44:6_[M-H]1- +967.6281 PI_44:5_[M-H]1- +969.6438 PI_44:4_[M-H]1- +971.6594 PI_44:3_[M-H]1- +973.6751 PI_44:2_[M-H]1- +975.6907 PI_44:1_[M-H]1- +977.7064 PI_44:0_[M-H]1- +984.7638 PC_46:2_[M+OAC]1- +986.7795 PC_46:1_[M+OAC]1- +988.7507 PC_48:1_[M+Cl]1- +988.7951 PC_46:0_[M+OAC]1- +992.782 PC_48:0_[M+Cl]1- +1012.7951 PC_48:1_[M+OAC]1- +1016.8264 PC_48:0_[M+OAC]1- +1020.8133 PC_50:0_[M+Cl]1- +1040.782 PC_52:4_[M+Cl]1- +1044.8577 PC_50:0_[M+OAC]1- +1048.8446 PC_52:0_[M+Cl]1- +1064.8264 PC_52:4_[M+OAC]1- +1072.889 PC_52:0_[M+OAC]1-
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/LipidList_generator/Positive_LipidList.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,3478 @@ +mz name +236.1129 TG_6:0_[M+NH4]1+ +241.0683 TG_6:0_[M+Na]1+ +300.1207 LPC_2:0_[M+H]1+ +300.1571 LPC-2O_3:0_[M+H]1+ +312.1207 LPC_3:1_[M+H]1+ +314.1363 PC-O_3:0_[M+H]1+ +314.1727 LPC-2O_4:0_[M+H]1+ +324.2897 Cer_20:1_[M+H-H2O]1+ +328.152 PC-O_4:0_[M+H]1+ +328.1884 LPC_O-5:0_[M+H]1+ +342.1312 PC_4:0_[M+H]1+ +342.1676 LPC_5:0_[M+H]1+ +342.3003 Cer_20:1_[M+H]1+ +348.3108 MG_16:0_[M+NH4]1+ +351.341 Cholesterol_[M+H-2H2O]1+ +356.1833 LPC_6:0_[M+H]1+ +362.3265 MG_17:0_[M+NH4]1+ +365.3203 Oxocholesterol_[M+H-2H2O]1+ +367.3359 Hydroxycholesterol_[M+H-2H2O]1+ +369.3516 Cholesterol_[M+H-H2O]1+ +370.1625 PC_6:0_[M+H]1+ +370.1989 LPC_7:0_[M+H]1+ +372.3108 MG_18:2_[M+NH4]1+ +374.3265 MG_18:1_[M+NH4]1+ +374.3827 2H-IS_CE_[M+H-H2O]1+ +375.3886 2H-IS_CE_[M+H-H2O]1+ +376.3421 MG_18:0_[M+NH4]1+ +376.3918 2H-IS_CE_[M+H-H2O]1+ +377.395 2H-IS_CE_[M+H-H2O]1+ +383.3308 Oxocholesterol_[M+H-H2O]1+ +384.2146 LPC_8:0_[M+H]1+ +385.3465 Hydroxycholesterol_[M+H-H2O]1+ +386.1938 PA_12:0_[M+NH4]1+ +391.1492 PA_12:0_[M+Na]1+ +394.2952 MG_20:5_[M+NH4]1+ +396.251 LPC_O-10:1_[M+H]1+ +396.3108 MG_20:4_[M+NH4]1+ +398.1938 PC_8:0_[M+H]1+ +398.2302 LPC_9:0_[M+H]1+ / LPE_12:0_[M+H]1+ +404.3734 MG_20:0_[M+NH4]1+ +412.2095 PE_12:0_[M+H]1+ +412.2459 PC-O_10:0_[M+H]1+ / LPE_13:0_[M+H]1+ +420.3108 MG_22:6_[M+NH4]1+ +420.5436 2H-IS_LPC_[M+H]1+ +421.5496 2H-IS_LPC_[M+H]1+ +422.5554 2H-IS_LPC_[M+H]1+ +423.5588 2H-IS_LPC_[M+H]1+ +424.2459 LPE_14:1_[M+H]1+ +424.5622 2H-IS_LPC_[M+H]1+ +426.2251 PC_10:0_[M+H]1+ +426.2615 LPC_11:0_[M+H]1+ / LPE_14:0_[M+H]1+ +426.2979 LPC-2O_12:0_[M+H]1+ +429.2248 LPG_12:0_[M+H]1+ +438.2615 PC-O_12:1_[M+H]1+ / LPE_15:1_[M+H]1+ +438.2979 LPE-P_16:0_[M+H]1+ +439.3782 DG_24:0_[M+H-H2O]1+ +440.2772 LPC_12:0_[M+H]1+ / LPE_15:0_[M+H]1+ +440.3136 LPC-2O_13:0_[M+H]1+ / LPE-O_16:0_[M+H]1+ +442.22 LPS_12:0_[M+H]1+ +442.2564 PA_16:0_[M+NH4]1+ +443.2041 PG_12:0_[M+H]1+ +443.2404 LPG_13:0_[M+H]1+ +446.1938 PC_12:2_[M+H]1+ +446.2513 LPG_12:0_[M+NH4]1+ +447.2118 PA_16:0_[M+Na]1+ +451.2067 LPG_12:0_[M+Na]1+ +452.2772 PC-O_13:1_[M+H]1+ / LPE_16:1_[M+H]1+ +452.3136 LPC-O_14:1_[M+H]1+ +454.2564 PC_12:0_[M+H]1+ +454.2928 LPC_13:0_[M+H]1+ / LPE_16:0_[M+H]1+ +454.3292 LPC-2O_14:0_[M+H]1+ +455.2404 LPG_14:1_[M+H]1+ +456.1993 PS_12:0_[M+H]1+ +456.2357 LPS_13:0_[M+H]1+ +457.2561 LPG_14:0_[M+H]1+ +460.2306 PG_12:0_[M+NH4]1+ +460.267 LPG_13:0_[M+NH4]1+ +462.4306 Cer_30:2_[M+H-H2O]1+ +464.202 LPS_12:0_[M+Na]1+ +464.2772 LPE_17:2_[M+H]1+ +464.4462 Cer_30:1_[M+H-H2O]1+ +465.186 PG_12:0_[M+Na]1+ +465.2224 LPG_13:0_[M+Na]1+ +466.2928 LPC_14:1_[M+H]1+ / LPE_17:1_[M+H]1+ +466.3292 LPC-P_15:0_[M+H]1+ / LPE-O_18:1_[M+H]1+ +467.4095 DG_26:0_[M+H-H2O]1+ +468.2357 LPS_14:1_[M+H]1+ +468.2721 PE_16:0_[M+H]1+ +468.3085 PC-O_14:0_[M+H]1+ / LPE_17:0_[M+H]1+ +468.3449 LPC-2O_15:0_[M+H]1+ / LPE-O_18:0_[M+H]1+ +469.2561 LPG_15:1_[M+H]1+ +469.2925 LPG-P_16:0_[M+H]1+ +470.2513 LPS_14:0_[M+H]1+ +471.2717 LPG_15:0_[M+H]1+ +471.3081 LPG-O_16:0_[M+H]1+ +472.267 LPG_14:1_[M+NH4]1+ +474.2615 LPE_18:4_[M+H]1+ +474.2826 LPG_14:0_[M+NH4]1+ +474.4153 DG_24:0_[M+NH4]1+ +476.2772 LPE_18:3_[M+H]1+ +477.2224 LPG_14:1_[M+Na]1+ +478.1813 PS_12:0_[M+Na]1+ +478.2176 LPS_13:0_[M+Na]1+ +478.2928 LPE_18:2_[M+H]1+ +478.3292 LPE-P_19:1_[M+H]1+ +479.238 LPG_14:0_[M+Na]1+ +480.3085 LPC_15:1_[M+H]1+ / LPE_18:1_[M+H]1+ +480.3449 LPC-O_16:1_[M+H]1+ +480.4411 Cer_30:2_[M+H]1+ +482.2513 LPS_15:1_[M+H]1+ +482.2877 PC_14:0_[M+H]1+ / LPS-P_16:0_[M+H]1+ +482.3241 LPC_15:0_[M+H]1+ / LPE_18:0_[M+H]1+ +482.3605 LPC-2O_16:0_[M+H]1+ +482.4568 Cer_30:1_[M+H]1+ +483.2717 LPG_16:1_[M+H]1+ +484.267 LPS_15:0_[M+H]1+ +484.3034 LPS-O_16:0_[M+H]1+ +485.2874 LPG_16:0_[M+H]1+ +486.2826 LPG_15:1_[M+NH4]1+ +486.319 LPG-P_16:0_[M+NH4]1+ +488.2983 LPG_15:0_[M+NH4]1+ +488.3347 LPG-O_16:0_[M+NH4]1+ +488.4462 Cer_32:3_[M+H-H2O]1+ +490.2176 LPS_14:1_[M+Na]1+ +490.4619 Cer_32:2_[M+H-H2O]1+ +491.238 LPG_15:1_[M+Na]1+ +491.2744 LPG-P_16:0_[M+Na]1+ +491.4095 DG_28:2_[M+H-H2O]1+ +492.2333 LPS_14:0_[M+Na]1+ +492.4775 Cer_32:1_[M+H-H2O]1+ +493.2537 LPG_15:0_[M+Na]1+ +493.2901 LPG-O_16:0_[M+Na]1+ +493.4251 DG_28:1_[M+H-H2O]1+ +494.3241 LPC_16:1_[M+H]1+ / LPE_19:1_[M+H]1+ +494.3605 LPC-P_17:0_[M+H]1+ / LPE-P_20:0_[M+H]1+ +495.2717 LPG_17:2_[M+H]1+ +495.4408 DG_28:0_[M+H-H2O]1+ +496.267 LPS_16:1_[M+H]1+ +496.3398 LPC_16:0_[M+H]1+ / LPE_19:0_[M+H]1+ +496.3762 LPC-2O_17:0_[M+H]1+ / LPE-O_20:0_[M+H]1+ +497.2874 LPG_17:1_[M+H]1+ +497.3238 LPG-P_18:0_[M+H]1+ +498.2826 LPS_16:0_[M+H]1+ +498.319 PA_20:0_[M+NH4]1+ +499.2667 PG_16:0_[M+H]1+ +499.303 LPG_17:0_[M+H]1+ +499.3394 LPG-O_18:0_[M+H]1+ +500.2772 LPE_20:5_[M+H]1+ +500.2983 LPG_16:1_[M+NH4]1+ +502.2564 PC_16:2_[M+H]1+ +502.2928 LPE_20:4_[M+H]1+ +502.3139 LPG_16:0_[M+NH4]1+ +502.4466 DG_26:0_[M+NH4]1+ +503.2744 PA_20:0_[M+Na]1+ +504.2333 LPS_15:1_[M+Na]1+ +504.2697 LPS-P_16:0_[M+Na]1+ +504.3085 LPE_20:3_[M+H]1+ +504.4775 Cer_33:2_[M+H-H2O]1+ +505.2537 LPG_16:1_[M+Na]1+ +505.2561 LPG_18:4_[M+H]1+ +505.4251 DG_29:2_[M+H-H2O]1+ +506.2489 LPS_15:0_[M+Na]1+ +506.2853 LPS-O_16:0_[M+Na]1+ +506.3241 LPC_17:2_[M+H]1+ / LPE_20:2_[M+H]1+ +506.3605 LPC-P_18:1_[M+H]1+ +506.4568 Cer_32:3_[M+H]1+ +506.4932 Cer_33:1_[M+H-H2O]1+ +507.2693 LPG_16:0_[M+Na]1+ +507.2717 LPG_18:3_[M+H]1+ +507.4408 DG_29:1_[M+H-H2O]1+ +508.267 LPS_17:2_[M+H]1+ +508.3398 LPC_17:1_[M+H]1+ / LPE_20:1_[M+H]1+ +508.3762 LPC-O_18:1_[M+H]1+ +508.4724 Cer_32:2_[M+H]1+ +509.2874 LPG_18:2_[M+H]1+ +509.4564 DG_29:0_[M+H-H2O]1+ +510.2826 LPS_17:1_[M+H]1+ +510.319 PC_16:0_[M+H]1+ / LPS-P_18:0_[M+H]1+ +510.3554 PC-O_17:0_[M+H]1+ / LPE_20:0_[M+H]1+ +510.3918 LPC-2O_18:0_[M+H]1+ +510.4881 Cer_32:1_[M+H]1+ +511.303 LPG_18:1_[M+H]1+ +512.2619 PS_16:0_[M+H]1+ +512.2983 LPS_17:0_[M+H]1+ / LPG_17:2_[M+NH4]1+ +512.3347 LPS-O_18:0_[M+H]1+ +513.3187 LPG_18:0_[M+H]1+ +514.3139 LPG_17:1_[M+NH4]1+ +514.3503 LPG-P_18:0_[M+NH4]1+ +516.2932 PG_16:0_[M+NH4]1+ +516.3085 LPC_18:4_[M+H]1+ +516.3296 LPG_17:0_[M+NH4]1+ +516.366 LPG-O_18:0_[M+NH4]1+ +516.4775 Cer_34:3_[M+H-H2O]1+ +517.2408 LPI_12:0_[M+H]1+ +517.2537 LPG_17:2_[M+Na]1+ +517.4251 DG_30:3_[M+H-H2O]1+ +518.2489 LPS_16:1_[M+Na]1+ +518.2513 LPS_18:4_[M+H]1+ +518.3241 LPC_18:3_[M+H]1+ +518.4932 Cer_34:2_[M+H-H2O]1+ +519.2693 LPG_17:1_[M+Na]1+ +519.3057 LPG-P_18:0_[M+Na]1+ +519.4408 DG_30:2_[M+H-H2O]1+ +520.2646 LPS_16:0_[M+Na]1+ +520.267 LPS_18:3_[M+H]1+ +520.3398 LPC_18:2_[M+H]1+ +520.3762 LPC-O_19:1_[M+H]1+ +520.5088 Cer_34:1_[M+H-H2O]1+ +521.2486 PG_16:0_[M+Na]1+ +521.285 LPG_17:0_[M+Na]1+ +521.3214 LPG-O_18:0_[M+Na]1+ +521.4564 DG_30:1_[M+H-H2O]1+ +522.2826 LPS_18:2_[M+H]1+ / LPG_18:4_[M+NH4]1+ +522.3554 LPC_18:1_[M+H]1+ +522.3918 LPC-2O_19:1_[M+H]1+ +522.4881 Cer_33:2_[M+H]1+ +523.4721 DG_30:0_[M+H-H2O]1+ +524.2983 LPS_18:1_[M+H]1+ / LPG_18:3_[M+NH4]1+ +524.3347 PE_20:0_[M+H]1+ +524.3711 LPC_18:0_[M+H]1+ / LPE_21:0_[M+H]1+ +524.4075 LPC-2O_19:0_[M+H]1+ +524.5037 Cer_33:1_[M+H]1+ +525.3187 LPG_19:1_[M+H]1+ +525.3551 LPG-P_20:0_[M+H]1+ +526.2928 LPE_22:6_[M+H]1+ +526.3139 LPS_18:0_[M+H]1+ / LPG_18:2_[M+NH4]1+ +526.4466 DG_28:2_[M+NH4]1+ +527.238 LPG_18:4_[M+Na]1+ +527.3343 LPG_19:0_[M+H]1+ +527.3707 LPG-O_20:0_[M+H]1+ +528.3296 LPG_18:1_[M+NH4]1+ +528.4623 DG_28:1_[M+NH4]1+ +529.2537 LPG_18:3_[M+Na]1+ +530.2489 LPS_17:2_[M+Na]1+ +530.3241 LPE_22:4_[M+H]1+ +530.3452 LPG_18:0_[M+NH4]1+ +530.4779 DG_28:0_[M+NH4]1+ +530.4932 CE_8:0_[M+NH4]1+ +531.2565 LPI_13:0_[M+H]1+ +531.2693 LPG_18:2_[M+Na]1+ +531.2717 LPG_20:5_[M+H]1+ +531.4408 DG_31:3_[M+H-H2O]1+ +532.2646 LPS_17:1_[M+Na]1+ +532.301 LPS-P_18:0_[M+Na]1+ +532.3398 LPC_19:3_[M+H]1+ +532.5088 Cer_35:2_[M+H-H2O]1+ +533.285 LPG_18:1_[M+Na]1+ +533.2874 LPG_20:4_[M+H]1+ +533.4564 DG_31:2_[M+H-H2O]1+ +534.2439 PS_16:0_[M+Na]1+ +534.2674 LPI_12:0_[M+NH4]1+ +534.2802 LPS_17:0_[M+Na]1+ +534.3166 LPS-O_18:0_[M+Na]1+ +534.3554 LPE_22:2_[M+H]1+ +534.4881 Cer_34:3_[M+H]1+ +534.5245 Cer_35:1_[M+H-H2O]1+ +535.3006 LPG_18:0_[M+Na]1+ +535.303 LPG_20:3_[M+H]1+ +535.4486 CE_8:0_[M+Na]1+ +535.4721 DG_31:1_[M+H-H2O]1+ +536.3347 PC_18:1_[M+H]1+ +536.3711 PC-O_19:1_[M+H]1+ / LPE_22:1_[M+H]1+ +536.4075 LPC-2O_20:1_[M+H]1+ +536.5037 Cer_34:2_[M+H]1+ +537.3187 LPG_20:2_[M+H]1+ +537.4877 DG_31:0_[M+H-H2O]1+ +538.3139 LPS_19:1_[M+H]1+ +538.3503 PC_18:0_[M+H]1+ / LPS-P_20:0_[M+H]1+ +538.3867 PC-O_19:0_[M+H]1+ / LPE_22:0_[M+H]1+ +538.4231 LPC-2O_20:0_[M+H]1+ +538.5194 Cer_34:1_[M+H]1+ +539.2228 LPI_12:0_[M+Na]1+ +539.3343 LPG_20:1_[M+H]1+ +540.2333 LPS_18:4_[M+Na]1+ +540.3296 LPS_19:0_[M+H]1+ +540.366 LPS-O_20:0_[M+H]1+ +540.4623 DG_29:2_[M+NH4]1+ +541.35 LPG_20:0_[M+H]1+ +541.4251 DG_32:5_[M+H-H2O]1+ +542.2489 LPS_18:3_[M+Na]1+ +542.3241 LPC_20:5_[M+H]1+ +542.3452 LPG_19:1_[M+NH4]1+ +542.3816 LPG-P_20:0_[M+NH4]1+ +542.4779 DG_29:1_[M+NH4]1+ +543.2565 LPI_14:1_[M+H]1+ +543.4408 DG_32:4_[M+H-H2O]1+ +544.2646 LPS_18:2_[M+Na]1+ +544.267 LPS_20:5_[M+H]1+ +544.3398 LPC_20:4_[M+H]1+ +544.3609 LPG_19:0_[M+NH4]1+ +544.3973 LPG-O_20:0_[M+NH4]1+ +544.4936 DG_29:0_[M+NH4]1+ +544.5088 Cer_36:3_[M+H-H2O]1+ +545.2721 LPI_14:0_[M+H]1+ +545.4564 DG_32:3_[M+H-H2O]1+ +546.2802 LPS_18:1_[M+Na]1+ +546.2826 LPS_20:4_[M+H]1+ +546.3554 LPC_20:3_[M+H]1+ +546.5245 Cer_36:2_[M+H-H2O]1+ +547.3006 LPG_19:1_[M+Na]1+ +547.337 LPG-P_20:0_[M+Na]1+ +547.4721 DG_32:2_[M+H-H2O]1+ +548.283 LPI_13:0_[M+NH4]1+ +548.2959 LPS_18:0_[M+Na]1+ +548.2983 LPS_20:3_[M+H]1+ / LPG_20:5_[M+NH4]1+ +548.3711 PC-O_20:2_[M+H]1+ +548.5401 Cer_36:1_[M+H-H2O]1+ +548.684 2H-IS_Cer_[M+H - H2O]1+ +549.3163 LPG_19:0_[M+Na]1+ +549.3527 LPG-O_20:0_[M+Na]1+ +549.4877 DG_32:1_[M+H-H2O]1+ +549.6898 2H-IS_Cer_[M+H - H2O]1+ +550.3139 LPS_20:2_[M+H]1+ / LPG_20:4_[M+NH4]1+ +550.3503 PC_19:1_[M+H]1+ +550.3867 PC-O_20:1_[M+H]1+ +550.5194 Cer_35:2_[M+H]1+ +550.6952 2H-IS_Cer_[M+H - H2O]1+ +551.5034 DG_32:0_[M+H-H2O]1+ +551.7009 2H-IS_Cer_[M+H - H2O]1+ +552.3296 LPS_20:1_[M+H]1+ / LPG_20:3_[M+NH4]1+ +552.366 PC_19:0_[M+H]1+ +552.4024 PC-O_20:0_[M+H]1+ +552.4388 LPC-2O_21:0_[M+H]1+ +552.4623 DG_30:3_[M+NH4]1+ +552.535 Cer_35:1_[M+H]1+ +552.7059 2H-IS_Cer_[M+H - H2O]1+ +553.2384 LPI_13:0_[M+Na]1+ +553.2537 LPG_20:5_[M+Na]1+ +554.3452 LPS_20:0_[M+H]1+ / LPG_20:2_[M+NH4]1+ +554.3816 PA_24:0_[M+NH4]1+ +554.4779 DG_30:2_[M+NH4]1+ +555.2693 LPG_20:4_[M+Na]1+ +555.3293 PG_20:0_[M+H]1+ +555.3656 LPG_21:0_[M+H]1+ +555.4408 DG_33:5_[M+H-H2O]1+ +556.3609 LPG_20:1_[M+NH4]1+ +556.4936 DG_30:1_[M+NH4]1+ +557.2721 LPI_15:1_[M+H]1+ +557.285 LPG_20:3_[M+Na]1+ +557.2874 LPG_22:6_[M+H]1+ +557.3085 LPI-P_16:0_[M+H]1+ +557.4564 DG_33:4_[M+H-H2O]1+ +558.319 PC_20:4_[M+H]1+ +558.3554 LPC_21:4_[M+H]1+ +558.3765 LPG_20:0_[M+NH4]1+ +558.5092 DG_30:0_[M+NH4]1+ +558.5245 CE_10:0_[M+NH4]1+ +559.2878 LPI_15:0_[M+H]1+ +559.3006 LPG_20:2_[M+Na]1+ +559.3242 LPI-O_16:0_[M+H]1+ +559.337 PA_24:0_[M+Na]1+ +559.4721 DG_33:3_[M+H-H2O]1+ +560.283 LPI_14:1_[M+NH4]1+ +560.2959 LPS_19:1_[M+Na]1+ +560.3323 LPS-P_20:0_[M+Na]1+ +560.5401 Cer_37:2_[M+H-H2O]1+ +561.3163 LPG_20:1_[M+Na]1+ +561.3187 LPG_22:4_[M+H]1+ +561.4877 DG_33:2_[M+H-H2O]1+ +562.2987 LPI_14:0_[M+NH4]1+ +562.3115 LPS_19:0_[M+Na]1+ +562.3479 LPS-O_20:0_[M+Na]1+ +562.5194 Cer_36:3_[M+H]1+ +562.5558 Cer_37:1_[M+H-H2O]1+ +563.3319 LPG_20:0_[M+Na]1+ +563.4799 CE_10:0_[M+Na]1+ +563.5034 DG_33:1_[M+H-H2O]1+ +564.366 PC_20:1_[M+H]1+ +564.4024 PC-O_21:1_[M+H]1+ +564.535 Cer_36:2_[M+H]1+ +565.2384 LPI_14:1_[M+Na]1+ +565.35 LPG_22:2_[M+H]1+ +565.519 DG_33:0_[M+H-H2O]1+ +565.6887 2H-IS_Cer_[M+H]1+ +566.2489 LPS_20:5_[M+Na]1+ +566.3816 PC_20:0_[M+H]1+ / PE_23:0_[M+H]1+ +566.418 PC-O_21:0_[M+H]1+ +566.4779 DG_31:3_[M+NH4]1+ +566.5507 Cer_36:1_[M+H]1+ +566.6943 2H-IS_Cer_[M+H]1+ +567.2541 LPI_14:0_[M+Na]1+ +567.3656 LPG_22:1_[M+H]1+ +567.4408 DG_34:6_[M+H-H2O]1+ +567.7001 2H-IS_Cer_[M+H]1+ +568.2646 LPS_20:4_[M+Na]1+ +568.3245 PS_20:0_[M+H]1+ +568.3398 LPC_22:6_[M+H]1+ +568.3609 LPS_21:0_[M+H]1+ +568.3973 PA_25:0_[M+NH4]1+ +568.4936 DG_31:2_[M+NH4]1+ +568.7056 2H-IS_Cer_[M+H]1+ +569.3813 LPG_22:0_[M+H]1+ +569.4564 DG_34:5_[M+H-H2O]1+ +569.7111 2H-IS_Cer_[M+H]1+ +570.2802 LPS_20:3_[M+Na]1+ +570.2826 LPS_22:6_[M+H]1+ +570.5092 DG_31:1_[M+NH4]1+ +570.716 2H-IS_Cer_[M+H]1+ +571.2878 LPI_16:1_[M+H]1+ +571.4721 DG_34:4_[M+H-H2O]1+ +571.7204 2H-IS_Cer_[M+H]1+ +572.2959 LPS_20:2_[M+Na]1+ +572.3558 PG_20:0_[M+NH4]1+ +572.3711 LPC_22:4_[M+H]1+ +572.3922 LPG_21:0_[M+NH4]1+ +572.4885 TG_30:0_[M+NH4]1+ +572.5249 DG_31:0_[M+NH4]1+ +572.5401 Cer_38:3_[M+H-H2O]1+ +573.3034 LPI_16:0_[M+H]1+ +573.3527 PA_25:0_[M+Na]1+ +573.4877 DG_34:3_[M+H-H2O]1+ +574.2987 LPI_15:1_[M+NH4]1+ +574.3115 LPS_20:1_[M+Na]1+ +574.3139 LPS_22:4_[M+H]1+ / LPG_22:6_[M+NH4]1+ +574.3351 LPI-P_16:0_[M+NH4]1+ +574.5558 Cer_38:2_[M+H-H2O]1+ +575.5034 DG_34:2_[M+H-H2O]1+ +576.3143 LPI_15:0_[M+NH4]1+ +576.3272 LPS_20:0_[M+Na]1+ +576.3507 LPI-O_16:0_[M+NH4]1+ +576.4024 LPC_22:2_[M+H]1+ +576.4623 DG_32:5_[M+NH4]1+ +576.5714 Cer_38:1_[M+H-H2O]1+ +577.3112 PG_20:0_[M+Na]1+ +577.3476 LPG_21:0_[M+Na]1+ +577.4439 TG_30:0_[M+Na]1+ +577.519 DG_34:1_[M+H-H2O]1+ +578.3452 LPS_22:2_[M+H]1+ / LPG_22:4_[M+NH4]1+ +578.3816 PC_21:1_[M+H]1+ +578.418 LPC_22:1_[M+H]1+ +578.4779 DG_32:4_[M+NH4]1+ +578.5507 Cer_37:2_[M+H]1+ +579.2541 LPI_15:1_[M+Na]1+ +579.2693 LPG_22:6_[M+Na]1+ +579.2905 LPI-P_16:0_[M+Na]1+ +579.5347 DG_34:0_[M+H-H2O]1+ +580.3609 LPS_22:1_[M+H]1+ +580.3973 PC_21:0_[M+H]1+ / PE_24:0_[M+H]1+ / PA_26:1_[M+NH4]1+ +580.4337 PC-O_22:0_[M+H]1+ +580.4936 DG_32:3_[M+NH4]1+ +580.5663 Cer_37:1_[M+H]1+ +581.2697 LPI_15:0_[M+Na]1+ +581.3061 LPI-O_16:0_[M+Na]1+ +581.4564 DG_35:6_[M+H-H2O]1+ +582.3765 LPS_22:0_[M+H]1+ / LPG_22:2_[M+NH4]1+ +582.4129 PA_26:0_[M+NH4]1+ +582.5092 DG_32:2_[M+NH4]1+ +583.2878 LPI_17:2_[M+H]1+ +583.3006 LPG_22:4_[M+Na]1+ +583.4721 DG_35:5_[M+H-H2O]1+ +584.3922 LPG_22:1_[M+NH4]1+ +584.5249 DG_32:1_[M+NH4]1+ +585.3034 LPI_17:1_[M+H]1+ +585.3398 LPI-P_18:0_[M+H]1+ +585.3527 PA_26:1_[M+Na]1+ +585.4877 DG_35:4_[M+H-H2O]1+ +586.4078 LPG_22:0_[M+NH4]1+ +586.5405 DG_32:0_[M+NH4]1+ +586.5558 CE_12:0_[M+NH4]1+ +587.3191 LPI_17:0_[M+H]1+ +587.3319 LPG_22:2_[M+Na]1+ +587.3555 LPI-O_18:0_[M+H]1+ +587.3683 PA_26:0_[M+Na]1+ +587.5034 DG_35:3_[M+H-H2O]1+ +588.3143 LPI_16:1_[M+NH4]1+ +588.5714 Cer_39:2_[M+H-H2O]1+ +589.3476 LPG_22:1_[M+Na]1+ +589.519 DG_35:2_[M+H-H2O]1+ +590.3065 PS_20:0_[M+Na]1+ +590.33 LPI_16:0_[M+NH4]1+ +590.3428 LPS_21:0_[M+Na]1+ +590.4779 DG_33:5_[M+NH4]1+ +590.5507 Cer_38:3_[M+H]1+ +590.5871 Cer_39:1_[M+H-H2O]1+ +591.3632 LPG_22:0_[M+Na]1+ +591.4408 DG_36:8_[M+H-H2O]1+ +591.5112 CE_12:0_[M+Na]1+ +591.5347 DG_35:1_[M+H-H2O]1+ +592.2646 LPS_22:6_[M+Na]1+ +592.3973 PC_22:1_[M+H]1+ +592.4936 DG_33:4_[M+NH4]1+ +592.5663 Cer_38:2_[M+H]1+ +593.2697 LPI_16:1_[M+Na]1+ +593.2721 LPI_18:4_[M+H]1+ +593.4564 DG_36:7_[M+H-H2O]1+ +593.5503 DG_35:0_[M+H-H2O]1+ +594.4129 PC_22:0_[M+H]1+ / PE_25:0_[M+H]1+ / PA_27:1_[M+NH4]1+ +594.4857 LPC-2O_24:0_[M+H]1+ +594.5092 DG_33:3_[M+NH4]1+ +594.582 Cer_38:1_[M+H]1+ +595.2854 LPI_16:0_[M+Na]1+ +595.2878 LPI_18:3_[M+H]1+ +595.4721 DG_36:6_[M+H-H2O]1+ +596.2959 LPS_22:4_[M+Na]1+ +596.4286 PA_27:0_[M+NH4]1+ +596.5249 DG_33:2_[M+NH4]1+ +597.3034 LPI_18:2_[M+H]1+ +597.4877 DG_36:5_[M+H-H2O]1+ +598.5405 DG_33:1_[M+NH4]1+ +599.3191 LPI_18:1_[M+H]1+ +599.3683 PA_27:1_[M+Na]1+ +599.5034 DG_36:4_[M+H-H2O]1+ +600.3143 LPI_17:2_[M+NH4]1+ +600.3272 LPS_22:2_[M+Na]1+ +600.5562 DG_33:0_[M+NH4]1+ +601.3347 LPI_18:0_[M+H]1+ +601.384 PA_27:0_[M+Na]1+ +601.519 DG_36:3_[M+H-H2O]1+ +602.33 LPI_17:1_[M+NH4]1+ +602.3428 LPS_22:1_[M+Na]1+ +602.3664 LPI-P_18:0_[M+NH4]1+ +602.4779 DG_34:6_[M+NH4]1+ +602.5871 Cer_40:2_[M+H-H2O]1+ +603.5347 DG_36:2_[M+H-H2O]1+ +604.3456 LPI_17:0_[M+NH4]1+ +604.3585 LPS_22:0_[M+Na]1+ +604.382 LPI-O_18:0_[M+NH4]1+ +604.4936 DG_34:5_[M+NH4]1+ +604.6027 Cer_40:1_[M+H-H2O]1+ +604.688 2H-IS_PG_U +605.2697 LPI_17:2_[M+Na]1+ +605.5503 DG_36:1_[M+H-H2O]1+ +605.6941 2H-IS_PG_U +605.6949 2H-IS_PA_U +605.6951 2H-IS_PI_U +606.4129 PE_26:1_[M+H]1+ / PA_28:2_[M+NH4]1+ +606.5092 DG_34:4_[M+NH4]1+ +606.582 Cer_39:2_[M+H]1+ +606.7002 2H-IS_PG_U +606.701 2H-IS_PA_U +606.7012 2H-IS_PI_U +607.2854 LPI_17:1_[M+Na]1+ +607.3218 LPI-P_18:0_[M+Na]1+ +607.4721 DG_37:7_[M+H-H2O]1+ +607.566 DG_36:0_[M+H-H2O]1+ +607.7059 2H-IS_PG_U +607.7067 2H-IS_PA_U +607.707 2H-IS_PI_U +608.4286 PE_26:0_[M+H]1+ / PA_28:1_[M+NH4]1+ +608.465 LPC_24:0_[M+H]1+ +608.5249 DG_34:3_[M+NH4]1+ +608.5976 Cer_39:1_[M+H]1+ +608.7117 2H-IS_PG_U +608.7125 2H-IS_PA_U +608.7127 2H-IS_PI_U +609.301 LPI_17:0_[M+Na]1+ +609.3374 LPI-O_18:0_[M+Na]1+ +609.4877 DG_37:6_[M+H-H2O]1+ +609.716 2H-IS_PG_U +609.7169 2H-IS_PA_U +609.7171 2H-IS_PI_U +610.2987 LPI_18:4_[M+NH4]1+ +610.4442 PA_28:0_[M+NH4]1+ +610.5405 DG_34:2_[M+NH4]1+ +610.7196 2H-IS_PG_U +610.7206 2H-IS_PI_U +611.3683 PA_28:2_[M+Na]1+ +611.3919 PG_24:0_[M+H]1+ +611.5034 DG_37:5_[M+H-H2O]1+ +612.3143 LPI_18:3_[M+NH4]1+ +612.5562 DG_34:1_[M+NH4]1+ +612.5714 CE_14:1_[M+NH4]1+ +613.3347 LPI_19:1_[M+H]1+ +613.3711 LPI-P_20:0_[M+H]1+ +613.384 PA_28:1_[M+Na]1+ +613.519 DG_37:4_[M+H-H2O]1+ +614.33 LPI_18:2_[M+NH4]1+ +614.5718 DG_34:0_[M+NH4]1+ +614.5871 CE_14:0_[M+NH4]1+ +615.2541 LPI_18:4_[M+Na]1+ +615.3504 LPI_19:0_[M+H]1+ +615.3868 LPI-O_20:0_[M+H]1+ +615.3996 PA_28:0_[M+Na]1+ +615.5347 DG_37:3_[M+H-H2O]1+ +616.3456 LPI_18:1_[M+NH4]1+ +616.4936 DG_35:6_[M+NH4]1+ +616.6027 Cer_41:2_[M+H-H2O]1+ +617.2697 LPI_18:3_[M+Na]1+ +617.4564 DG_38:9_[M+H-H2O]1+ +617.5268 CE_14:1_[M+Na]1+ +617.5503 DG_37:2_[M+H-H2O]1+ +618.3613 LPI_18:0_[M+NH4]1+ +618.5092 DG_35:5_[M+NH4]1+ +618.6184 Cer_41:1_[M+H-H2O]1+ +619.2854 LPI_18:2_[M+Na]1+ +619.2878 LPI_20:5_[M+H]1+ +619.4721 DG_38:8_[M+H-H2O]1+ +619.5425 CE_14:0_[M+Na]1+ +619.566 DG_37:1_[M+H-H2O]1+ +620.4286 PE_27:1_[M+H]1+ / PA_29:2_[M+NH4]1+ +620.465 PE-P_28:0_[M+H]1+ +620.5249 DG_35:4_[M+NH4]1+ +620.5976 Cer_40:2_[M+H]1+ +621.301 LPI_18:1_[M+Na]1+ +621.3034 LPI_20:4_[M+H]1+ +621.4877 DG_38:7_[M+H-H2O]1+ +621.5816 DG_37:0_[M+H-H2O]1+ +622.4442 PC_24:0_[M+H]1+ / PE_27:0_[M+H]1+ / PA_29:1_[M+NH4]1+ +622.4806 PE-O_28:0_[M+H]1+ +622.5405 DG_35:3_[M+NH4]1+ +622.6133 Cer_40:1_[M+H]1+ +623.3167 LPI_18:0_[M+Na]1+ +623.3191 LPI_20:3_[M+H]1+ +623.5034 DG_38:6_[M+H-H2O]1+ +624.3871 PS_24:0_[M+H]1+ +624.4599 PA_29:0_[M+NH4]1+ +624.5562 DG_35:2_[M+NH4]1+ +625.3347 LPI_20:2_[M+H]1+ +625.384 PA_29:2_[M+Na]1+ +625.4075 PG_25:0_[M+H]1+ +625.519 DG_38:5_[M+H-H2O]1+ +626.4779 DG_36:8_[M+NH4]1+ +626.5718 DG_35:1_[M+NH4]1+ +626.5871 CE_15:1_[M+NH4]1+ +627.3504 LPI_20:1_[M+H]1+ +627.3996 PA_29:1_[M+Na]1+ +627.5347 DG_38:4_[M+H-H2O]1+ +628.4184 PG_24:0_[M+NH4]1+ +628.4936 DG_36:7_[M+NH4]1+ +628.5875 DG_35:0_[M+NH4]1+ +628.6027 CE_15:0_[M+NH4]1+ +629.366 LPI_20:0_[M+H]1+ +629.4153 PA_29:0_[M+Na]1+ +629.5503 DG_38:3_[M+H-H2O]1+ +630.3613 LPI_19:1_[M+NH4]1+ +630.3977 LPI-P_20:0_[M+NH4]1+ +630.4129 PA_30:4_[M+NH4]1+ +630.5092 DG_36:6_[M+NH4]1+ +630.6184 Cer_42:2_[M+H-H2O]1+ +631.5425 CE_15:1_[M+Na]1+ +631.566 DG_38:2_[M+H-H2O]1+ +632.3769 LPI_19:0_[M+NH4]1+ +632.4133 LPI-O_20:0_[M+NH4]1+ +632.4286 PE_28:2_[M+H]1+ / PA_30:3_[M+NH4]1+ +632.5249 DG_36:5_[M+NH4]1+ +632.634 Cer_42:1_[M+H-H2O]1+ +633.3738 PG_24:0_[M+Na]1+ +633.4877 DG_39:8_[M+H-H2O]1+ +633.5581 CE_15:0_[M+Na]1+ +633.5816 DG_38:1_[M+H-H2O]1+ +634.4442 PE_28:1_[M+H]1+ / PA_30:2_[M+NH4]1+ +634.4806 PE-P_29:0_[M+H]1+ +634.5405 DG_36:4_[M+NH4]1+ +634.6133 Cer_41:2_[M+H]1+ +635.3167 LPI_19:1_[M+Na]1+ +635.3531 LPI-P_20:0_[M+Na]1+ +635.3683 PA_30:4_[M+Na]1+ +635.5034 DG_39:7_[M+H-H2O]1+ +635.5973 DG_38:0_[M+H-H2O]1+ +636.3143 LPI_20:5_[M+NH4]1+ +636.4599 PC_25:0_[M+H]1+ / PE_28:0_[M+H]1+ / PA_30:1_[M+NH4]1+ +636.4963 PE-O_29:0_[M+H]1+ +636.5562 DG_36:3_[M+NH4]1+ +636.5714 CE_16:3_[M+NH4]1+ +636.6289 Cer_41:1_[M+H]1+ +637.3323 LPI_19:0_[M+Na]1+ +637.3687 LPI-O_20:0_[M+Na]1+ +637.384 PA_30:3_[M+Na]1+ +637.4075 PG_26:1_[M+H]1+ +637.519 DG_39:6_[M+H-H2O]1+ +638.33 LPI_20:4_[M+NH4]1+ +638.4028 PS_25:0_[M+H]1+ +638.4755 PA_30:0_[M+NH4]1+ +638.5718 DG_36:2_[M+NH4]1+ +638.5871 CE_16:2_[M+NH4]1+ +639.3996 PA_30:2_[M+Na]1+ +639.4232 PG_26:0_[M+H]1+ +639.5347 DG_39:5_[M+H-H2O]1+ +640.3456 LPI_20:3_[M+NH4]1+ +640.5875 DG_36:1_[M+NH4]1+ +640.6027 CE_16:1_[M+NH4]1+ +641.2697 LPI_20:5_[M+Na]1+ +641.4153 PA_30:1_[M+Na]1+ +641.5268 CE_16:3_[M+Na]1+ +641.5503 DG_39:4_[M+H-H2O]1+ +642.3613 LPI_20:2_[M+NH4]1+ +642.4341 PG_25:0_[M+NH4]1+ +642.5092 DG_37:7_[M+NH4]1+ +642.6031 DG_36:0_[M+NH4]1+ +642.6184 CE_16:0_[M+NH4]1+ +643.2854 LPI_20:4_[M+Na]1+ +643.3817 LPI_21:0_[M+H]1+ +643.4309 PA_30:0_[M+Na]1+ +643.4721 DG_40:10_[M+H-H2O]1+ +643.5425 CE_16:2_[M+Na]1+ +643.566 DG_39:3_[M+H-H2O]1+ +644.3769 LPI_20:1_[M+NH4]1+ +644.4286 PA_31:4_[M+NH4]1+ +644.5249 DG_37:6_[M+NH4]1+ +645.301 LPI_20:3_[M+Na]1+ +645.3034 LPI_22:6_[M+H]1+ +645.4877 DG_40:9_[M+H-H2O]1+ +645.5581 CE_16:1_[M+Na]1+ +645.5816 DG_39:2_[M+H-H2O]1+ +646.3691 PS_24:0_[M+Na]1+ +646.3926 LPI_20:0_[M+NH4]1+ +646.4442 PE_29:2_[M+H]1+ / PA_31:3_[M+NH4]1+ +646.4806 PE-P_30:1_[M+H]1+ +646.5405 DG_37:5_[M+NH4]1+ +646.6497 Cer_43:1_[M+H-H2O]1+ +647.3167 LPI_20:2_[M+Na]1+ +647.3895 PG_25:0_[M+Na]1+ +647.5034 DG_40:8_[M+H-H2O]1+ +647.5123 SM_30:1_[M+H]1+ +647.5738 CE_16:0_[M+Na]1+ +647.5973 DG_39:1_[M+H-H2O]1+ +648.4599 PC_26:1_[M+H]1+ / PE_29:1_[M+H]1+ / PA_31:2_[M+NH4]1+ +648.4963 PE-O_30:1_[M+H]1+ +648.5562 DG_37:4_[M+NH4]1+ +648.6289 Cer_42:2_[M+H]1+ +649.3323 LPI_20:1_[M+Na]1+ +649.3347 LPI_22:4_[M+H]1+ +649.384 PA_31:4_[M+Na]1+ +649.519 DG_40:7_[M+H-H2O]1+ +649.5279 SM_30:0_[M+H]1+ +649.6129 DG_39:0_[M+H-H2O]1+ +650.4028 PS_26:1_[M+H]1+ +650.4755 PC_26:0_[M+H]1+ / PE_29:0_[M+H]1+ / PA_31:1_[M+NH4]1+ +650.5119 PE-O_30:0_[M+H]1+ +650.5483 PC-2O_28:0_[M+H]1+ +650.5718 DG_37:3_[M+NH4]1+ +650.6446 Cer_42:1_[M+H]1+ +651.348 LPI_20:0_[M+Na]1+ +651.3996 PA_31:3_[M+Na]1+ +651.4232 PG_27:1_[M+H]1+ +651.4595 PG-P_28:0_[M+H]1+ +651.5347 DG_40:6_[M+H-H2O]1+ +652.4184 PS_26:0_[M+H]1+ +652.4912 PA_31:0_[M+NH4]1+ +652.4936 DG_38:9_[M+NH4]1+ +652.5875 DG_37:2_[M+NH4]1+ +652.6027 CE_17:2_[M+NH4]1+ +653.366 LPI_22:2_[M+H]1+ +653.4153 PA_31:2_[M+Na]1+ +653.4388 PG_27:0_[M+H]1+ +653.4752 PG-O_28:0_[M+H]1+ +653.5503 DG_40:5_[M+H-H2O]1+ +654.4341 PG_26:1_[M+NH4]1+ +654.5092 DG_38:8_[M+NH4]1+ +654.6031 DG_37:1_[M+NH4]1+ +654.6184 CE_17:1_[M+NH4]1+ +655.3817 LPI_22:1_[M+H]1+ +655.4309 PA_31:1_[M+Na]1+ +655.566 DG_40:4_[M+H-H2O]1+ +656.4286 PE_30:4_[M+H]1+ / PA_32:5_[M+NH4]1+ +656.4497 PG_26:0_[M+NH4]1+ +656.5249 DG_38:7_[M+NH4]1+ +656.5824 TG_36:0_[M+NH4]1+ +656.6188 DG_37:0_[M+NH4]1+ +656.634 CE_17:0_[M+NH4]1+ +657.3973 LPI_22:0_[M+H]1+ +657.4466 PA_31:0_[M+Na]1+ +657.5581 CE_17:2_[M+Na]1+ +657.5816 DG_40:3_[M+H-H2O]1+ +658.4442 PE_30:3_[M+H]1+ / PA_32:4_[M+NH4]1+ +658.5405 DG_38:6_[M+NH4]1+ +658.6497 Cer_44:2_[M+H-H2O]1+ +659.3895 PG_26:1_[M+Na]1+ +659.5738 CE_17:1_[M+Na]1+ +659.5973 DG_40:2_[M+H-H2O]1+ +660.3847 PS_25:0_[M+Na]1+ +660.4082 LPI_21:0_[M+NH4]1+ +660.4599 PE_30:2_[M+H]1+ / PA_32:3_[M+NH4]1+ +660.4963 PE-P_31:1_[M+H]1+ +660.5562 DG_38:5_[M+NH4]1+ +660.6653 Cer_44:1_[M+H-H2O]1+ +661.384 PA_32:5_[M+Na]1+ +661.4051 PG_26:0_[M+Na]1+ +661.5378 TG_36:0_[M+Na]1+ +661.5894 CE_17:0_[M+Na]1+ +661.6129 DG_40:1_[M+H-H2O]1+ +662.33 LPI_22:6_[M+NH4]1+ +662.4755 PC_27:1_[M+H]1+ / PE_30:1_[M+H]1+ / PA_32:2_[M+NH4]1+ +662.5119 PC-P_28:0_[M+H]1+ / PE-O_31:1_[M+H]1+ +662.5718 DG_38:4_[M+NH4]1+ +662.5871 CE_18:4_[M+NH4]1+ +663.3996 PA_32:4_[M+Na]1+ +663.4232 PG_28:2_[M+H]1+ +663.5347 DG_41:7_[M+H-H2O]1+ +663.5436 SM_31:1_[M+H]1+ +663.6286 DG_40:0_[M+H-H2O]1+ +664.4184 PS_27:1_[M+H]1+ +664.4548 PS-P_28:0_[M+H]1+ +664.4912 PC_27:0_[M+H]1+ / PE_30:0_[M+H]1+ / PA_32:1_[M+NH4]1+ +664.5276 PC-O_28:0_[M+H]1+ / PE-O_31:0_[M+H]1+ +664.564 PE-2O_32:0_[M+H]1+ +664.5875 DG_38:3_[M+NH4]1+ +664.6027 CE_18:3_[M+NH4]1+ +664.6602 Cer_43:1_[M+H]1+ +665.3636 LPI_21:0_[M+Na]1+ +665.4153 PA_32:3_[M+Na]1+ +665.4388 PG_28:1_[M+H]1+ +665.4752 PG-P_29:0_[M+H]1+ +665.5503 DG_41:6_[M+H-H2O]1+ +666.3613 LPI_22:4_[M+NH4]1+ +666.4341 PS_27:0_[M+H]1+ +666.4704 PS-O_29:1_[M+H]1+ +666.5068 PA_32:0_[M+NH4]1+ +666.6031 DG_38:2_[M+NH4]1+ +666.6184 CE_18:2_[M+NH4]1+ +667.2854 LPI_22:6_[M+Na]1+ +667.4309 PA_32:2_[M+Na]1+ +667.4545 PG_28:0_[M+H]1+ +667.4908 PG-O_29:0_[M+H]1+ +667.5425 CE_18:4_[M+Na]1+ +667.566 DG_41:5_[M+H-H2O]1+ +668.4497 PG_27:1_[M+NH4]1+ +668.4861 PG-P_28:0_[M+NH4]1+ +668.5249 DG_39:8_[M+NH4]1+ +668.6188 DG_38:1_[M+NH4]1+ +668.634 CE_18:1_[M+NH4]1+ +669.4466 PA_32:1_[M+Na]1+ +669.4877 DG_42:11_[M+H-H2O]1+ +669.5581 CE_18:3_[M+Na]1+ +669.5816 DG_41:4_[M+H-H2O]1+ +670.3926 LPI_22:2_[M+NH4]1+ +670.4442 PE_31:4_[M+H]1+ / PA_33:5_[M+NH4]1+ +670.4654 PG_27:0_[M+NH4]1+ +670.5017 PG-O_28:0_[M+NH4]1+ +670.5405 DG_39:7_[M+NH4]1+ +670.598 TG_37:0_[M+NH4]1+ +670.6344 DG_38:0_[M+NH4]1+ +670.6497 CE_18:0_[M+NH4]1+ +671.3167 LPI_22:4_[M+Na]1+ +671.4622 PA_32:0_[M+Na]1+ +671.5034 DG_42:10_[M+H-H2O]1+ +671.5738 CE_18:2_[M+Na]1+ +671.5973 DG_41:3_[M+H-H2O]1+ +672.3847 PS_26:1_[M+Na]1+ +672.4082 LPI_22:1_[M+NH4]1+ +672.4599 PE_31:3_[M+H]1+ / PA_33:4_[M+NH4]1+ +672.5562 DG_39:6_[M+NH4]1+ +673.4051 PG_27:1_[M+Na]1+ +673.4415 PG-P_28:0_[M+Na]1+ +673.519 DG_42:9_[M+H-H2O]1+ +673.5279 SM_32:2_[M+H]1+ +673.5894 CE_18:1_[M+Na]1+ +673.6129 DG_41:2_[M+H-H2O]1+ +674.4004 PS_26:0_[M+Na]1+ +674.4239 LPI_22:0_[M+NH4]1+ +674.4755 PC_28:2_[M+H]1+ / PE_31:2_[M+H]1+ / PA_33:3_[M+NH4]1+ +674.5119 PE-P_32:1_[M+H]1+ +674.5718 DG_39:5_[M+NH4]1+ +675.348 LPI_22:2_[M+Na]1+ +675.3996 PA_33:5_[M+Na]1+ +675.4208 PG_27:0_[M+Na]1+ +675.4571 PG-O_28:0_[M+Na]1+ +675.5347 DG_42:8_[M+H-H2O]1+ +675.5436 SM_32:1_[M+H]1+ +675.5534 TG_37:0_[M+Na]1+ +675.6051 CE_18:0_[M+Na]1+ +675.6286 DG_41:1_[M+H-H2O]1+ +675.681 2H-IS_CE_[M+NH4]1+ +676.4184 PS_28:2_[M+H]1+ +676.4912 PC_28:1_[M+H]1+ / PE_31:1_[M+H]1+ / PA_33:2_[M+NH4]1+ +676.5276 PC-P_29:0_[M+H]1+ / PE-O_32:1_[M+H]1+ +676.5875 DG_39:4_[M+NH4]1+ +676.6602 Cer_44:2_[M+H]1+ +676.6961 2H-IS_CE_[M+NH4]1+ +677.3636 LPI_22:1_[M+Na]1+ +677.4153 PA_33:4_[M+Na]1+ +677.4388 PG_29:2_[M+H]1+ +677.4752 PG-P_30:1_[M+H]1+ +677.5503 DG_42:7_[M+H-H2O]1+ +677.5592 SM_32:0_[M+H]1+ +677.6442 DG_41:0_[M+H-H2O]1+ +677.6896 2H-IS_CE_[M+NH4]1+ +678.4341 PS_28:1_[M+H]1+ +678.4704 PS-P_29:0_[M+H]1+ +678.5068 PC_28:0_[M+H]1+ / PE_31:0_[M+H]1+ / PA_33:1_[M+NH4]1+ +678.5092 DG_40:10_[M+NH4]1+ +678.5432 PC-O_29:0_[M+H]1+ / PE-O_32:0_[M+H]1+ +678.5796 PE-2O_33:0_[M+H]1+ +678.6031 DG_39:3_[M+NH4]1+ +678.6759 Cer_44:1_[M+H]1+ +678.6934 2H-IS_CE_[M+NH4]1+ +679.3793 LPI_22:0_[M+Na]1+ +679.4309 PA_33:3_[M+Na]1+ +679.4545 PG_29:1_[M+H]1+ +679.4908 PG-O_30:1_[M+H]1+ +679.566 DG_42:6_[M+H-H2O]1+ +680.4497 PS_28:0_[M+H]1+ / PG_28:2_[M+NH4]1+ +680.4861 PS-O_29:0_[M+H]1+ +680.5225 PA_33:0_[M+NH4]1+ +680.5249 DG_40:9_[M+NH4]1+ +680.6188 DG_39:2_[M+NH4]1+ +681.4466 PA_33:2_[M+Na]1+ +681.4701 PG_29:0_[M+H]1+ +681.5065 PG-O_30:0_[M+H]1+ +681.5816 DG_42:5_[M+H-H2O]1+ +682.4442 PE_32:5_[M+H]1+ / PA_34:6_[M+NH4]1+ +682.4654 PG_28:1_[M+NH4]1+ +682.5017 PG-P_29:0_[M+NH4]1+ +682.5405 DG_40:8_[M+NH4]1+ +682.598 TG_38:1_[M+NH4]1+ +682.6344 DG_39:1_[M+NH4]1+ +683.4622 PA_33:1_[M+Na]1+ +683.5973 DG_42:4_[M+H-H2O]1+ +684.4599 PE_32:4_[M+H]1+ / PA_34:5_[M+NH4]1+ +684.481 PG_28:0_[M+NH4]1+ +684.5174 PG-O_29:0_[M+NH4]1+ +684.5562 DG_40:7_[M+NH4]1+ +684.6137 TG_38:0_[M+NH4]1+ +684.6501 DG_39:0_[M+NH4]1+ +684.6653 CE_19:0_[M+NH4]1+ +685.4051 PG_28:2_[M+Na]1+ +685.4779 PA_33:0_[M+Na]1+ +685.6129 DG_42:3_[M+H-H2O]1+ +686.4004 PS_27:1_[M+Na]1+ +686.4367 PS-P_28:0_[M+Na]1+ +686.4755 PE_32:3_[M+H]1+ / PA_34:4_[M+NH4]1+ +686.5119 PE-P_33:2_[M+H]1+ +686.5718 DG_40:6_[M+NH4]1+ +687.3996 PA_34:6_[M+Na]1+ +687.4208 PG_28:1_[M+Na]1+ +687.4232 PG_30:4_[M+H]1+ +687.4571 PG-P_29:0_[M+Na]1+ +687.5436 SM_33:2_[M+H]1+ +687.5534 TG_38:1_[M+Na]1+ +687.6286 DG_42:2_[M+H-H2O]1+ +688.416 PS_27:0_[M+Na]1+ +688.4524 PS-O_29:1_[M+Na]1+ +688.4912 PC_29:2_[M+H]1+ / PE_32:2_[M+H]1+ / PA_34:3_[M+NH4]1+ +688.5276 PC-P_30:1_[M+H]1+ / PE-O_33:2_[M+H]1+ +688.5875 DG_40:5_[M+NH4]1+ +688.6027 CE_20:5_[M+NH4]1+ +689.4153 PA_34:5_[M+Na]1+ +689.4364 PG_28:0_[M+Na]1+ +689.4388 PG_30:3_[M+H]1+ +689.4728 PG-O_29:0_[M+Na]1+ +689.5592 SM_33:1_[M+H]1+ +689.5691 TG_38:0_[M+Na]1+ +689.6207 CE_19:0_[M+Na]1+ +689.6442 DG_42:1_[M+H-H2O]1+ +690.4341 PS_29:2_[M+H]1+ +690.4704 PS-P_30:1_[M+H]1+ +690.5068 PC_29:1_[M+H]1+ / PE_32:1_[M+H]1+ / PA_34:2_[M+NH4]1+ +690.5432 PC-O-30:1_[M+H]1+ / PE-O_33:1_[M+H]1+ +690.6031 DG_40:4_[M+NH4]1+ +690.6184 CE_20:4_[M+NH4]1+ +691.4309 PA_34:4_[M+Na]1+ +691.4545 PG_30:2_[M+H]1+ +691.4908 PG-P_31:1_[M+H]1+ +691.5749 SM_33:0_[M+H]1+ +691.6599 DG_42:0_[M+H-H2O]1+ +692.4497 PS_29:1_[M+H]1+ +692.4861 PS-O_30:1_[M+H]1+ +692.5225 PC_29:0_[M+H]1+ / PE_32:0_[M+H]1+ / PA_34:1_[M+NH4]1+ +692.5589 PC-O-30:0_[M+H]1+ / PE-O_33:0_[M+H]1+ +692.6188 DG_40:3_[M+NH4]1+ +692.634 CE_20:3_[M+NH4]1+ +693.4466 PA_34:3_[M+Na]1+ +693.4701 PG_30:1_[M+H]1+ +693.5065 PG-O_31:1_[M+H]1+ +693.5581 CE_20:5_[M+Na]1+ +693.5816 DG_43:6_[M+H-H2O]1+ +694.4654 PS_29:0_[M+H]1+ / PG_29:2_[M+NH4]1+ +694.5017 PS-O_30:0_[M+H]1+ / PG-P_30:1_[M+NH4]1+ +694.5381 PA_34:0_[M+NH4]1+ +694.6344 DG_40:2_[M+NH4]1+ +694.6497 CE_20:2_[M+NH4]1+ +695.4622 PA_34:2_[M+Na]1+ +695.4858 PG_30:0_[M+H]1+ +695.5034 DG_44:12_[M+H-H2O]1+ +695.5221 PG-O_31:0_[M+H]1+ +695.5738 CE_20:4_[M+Na]1+ +695.5973 DG_43:5_[M+H-H2O]1+ +696.4599 PE_33:5_[M+H]1+ / PA_35:6_[M+NH4]1+ +696.481 PG_29:1_[M+NH4]1+ +696.4963 PE-P_34:4_[M+H]1+ +696.5174 PG-O_30:1_[M+NH4]1+ +696.6137 TG_39:1_[M+NH4]1+ +696.6501 DG_40:1_[M+NH4]1+ +696.6653 CE_20:1_[M+NH4]1+ +697.4779 PA_34:1_[M+Na]1+ +697.519 DG_44:11_[M+H-H2O]1+ +697.5894 CE_20:3_[M+Na]1+ +697.6129 DG_43:4_[M+H-H2O]1+ +698.4004 PS_28:2_[M+Na]1+ +698.4755 PC_30:4_[M+H]1+ / PE_33:4_[M+H]1+ / PA_35:5_[M+NH4]1+ +698.4967 PG_29:0_[M+NH4]1+ +698.5119 PE-O_34:4_[M+H]1+ +698.533 PG-O_30:0_[M+NH4]1+ +698.5718 DG_41:7_[M+NH4]1+ +698.6293 TG_39:0_[M+NH4]1+ +698.6657 DG_40:0_[M+NH4]1+ +698.681 CE_20:0_[M+NH4]1+ +699.4079 PI_24:0_[M+H]1+ +699.4208 PG_29:2_[M+Na]1+ +699.4571 PG-P_30:1_[M+Na]1+ +699.4935 PA_34:0_[M+Na]1+ +699.5347 DG_44:10_[M+H-H2O]1+ +699.6051 CE_20:2_[M+Na]1+ +699.6286 DG_43:3_[M+H-H2O]1+ +700.416 PS_28:1_[M+Na]1+ +700.4184 PS_30:4_[M+H]1+ +700.4524 PS-P_29:0_[M+Na]1+ +700.4912 PC_30:3_[M+H]1+ / PE_33:3_[M+H]1+ / PA_35:4_[M+NH4]1+ +700.5276 PE-O_34:3_[M+H]1+ +700.5875 DG_41:6_[M+NH4]1+ +701.4153 PA_35:6_[M+Na]1+ +701.4364 PG_29:1_[M+Na]1+ +701.4388 PG_31:4_[M+H]1+ +701.4728 PG-O_30:1_[M+Na]1+ +701.5503 DG_44:9_[M+H-H2O]1+ +701.5592 SM_34:2_[M+H]1+ +701.5691 TG_39:1_[M+Na]1+ +701.6207 CE_20:1_[M+Na]1+ +701.6442 DG_43:2_[M+H-H2O]1+ +702.4317 PS_28:0_[M+Na]1+ +702.4341 PS_30:3_[M+H]1+ +702.468 PS-O_29:0_[M+Na]1+ +702.5068 PC_30:2_[M+H]1+ / PE_33:2_[M+H]1+ / PA_35:3_[M+NH4]1+ +702.5432 PC-P_31:1_[M+H]1+ / PE-O_34:2_[M+H]1+ +702.6031 DG_41:5_[M+NH4]1+ +703.4309 PA_35:5_[M+Na]1+ +703.4521 PG_29:0_[M+Na]1+ +703.4545 PG_31:3_[M+H]1+ +703.4884 PG-O_30:0_[M+Na]1+ +703.566 DG_44:8_[M+H-H2O]1+ +703.5749 SM_34:1_[M+H]1+ +703.5847 TG_39:0_[M+Na]1+ +703.6364 CE_20:0_[M+Na]1+ +703.6599 DG_43:1_[M+H-H2O]1+ +704.4497 PS_30:2_[M+H]1+ / PG_30:4_[M+NH4]1+ +704.4861 PS-P_31:1_[M+H]1+ +704.5225 PC_30:1_[M+H]1+ / PE_33:1_[M+H]1+ / PA_35:2_[M+NH4]1+ +704.5249 DG_42:11_[M+NH4]1+ +704.5589 PC-O-31:1_[M+H]1+ / PE-O_34:1_[M+H]1+ +704.6188 DG_41:4_[M+NH4]1+ +705.4466 PA_35:4_[M+Na]1+ +705.4701 PG_31:2_[M+H]1+ +705.5065 PG-P_32:1_[M+H]1+ +705.5816 DG_44:7_[M+H-H2O]1+ +705.5905 SM_34:0_[M+H]1+ +705.6755 DG_43:0_[M+H-H2O]1+ +706.4442 PA_36:8_[M+NH4]1+ +706.4654 PS_30:1_[M+H]1+ / PG_30:3_[M+NH4]1+ +706.5017 PS-O_31:1_[M+H]1+ +706.5381 PC_30:0_[M+H]1+ / PE_33:0_[M+H]1+ / PA_35:1_[M+NH4]1+ +706.5405 DG_42:10_[M+NH4]1+ +706.5745 PC-O-31:0_[M+H]1+ / PE-O_34:0_[M+H]1+ +706.6109 PC-2O_32:0_[M+H]1+ +706.6344 DG_41:3_[M+NH4]1+ +707.4622 PA_35:3_[M+Na]1+ +707.4858 PG_31:1_[M+H]1+ +707.5221 PG-O_32:1_[M+H]1+ +707.5973 DG_44:6_[M+H-H2O]1+ +708.4599 PE_34:6_[M+H]1+ / PA_36:7_[M+NH4]1+ +708.481 PS_30:0_[M+H]1+ / PG_30:2_[M+NH4]1+ +708.5174 PS-O_31:0_[M+H]1+ / PG-P_31:1_[M+NH4]1+ +708.5538 PA_35:0_[M+NH4]1+ +708.5562 DG_42:9_[M+NH4]1+ +708.6137 TG_40:2_[M+NH4]1+ +708.6501 DG_41:2_[M+NH4]1+ +709.4051 PG_30:4_[M+Na]1+ 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PE_34:3_[M+H]1+ / PA_36:4_[M+NH4]1+ +714.5432 PC-O_32:3_[M+H]1+ / PE-P_35:2_[M+H]1+ +714.6031 DG_42:6_[M+NH4]1+ +714.6184 CE_22:6_[M+NH4]1+ +715.4309 PA_36:6_[M+Na]1+ +715.4521 PG_30:1_[M+Na]1+ +715.4545 PG_32:4_[M+H]1+ +715.4884 PG-O_31:1_[M+Na]1+ +715.5847 TG_40:1_[M+Na]1+ +715.6599 DG_44:2_[M+H-H2O]1+ +716.4345 PI_24:0_[M+NH4]1+ +716.4473 PS_29:0_[M+Na]1+ +716.4497 PS_31:3_[M+H]1+ +716.4837 PS-O_30:0_[M+Na]1+ +716.5225 PC_31:2_[M+H]1+ / PE_34:2_[M+H]1+ / PA_36:3_[M+NH4]1+ +716.5589 PC-O_32:2_[M+H]1+ / PE-O_35:2_[M+H]1+ +716.6188 DG_42:5_[M+NH4]1+ +716.634 CE_22:5_[M+NH4]1+ +717.4466 PA_36:5_[M+Na]1+ +717.4677 PG_30:0_[M+Na]1+ +717.4701 PG_32:3_[M+H]1+ +717.5041 PG-O_31:0_[M+Na]1+ +717.5065 PG-P_33:2_[M+H]1+ +717.5905 SM_35:1_[M+H]1+ +717.6004 TG_40:0_[M+Na]1+ +717.6755 DG_44:1_[M+H-H2O]1+ +718.4654 PS_31:2_[M+H]1+ / PG_31:4_[M+NH4]1+ +718.5017 PS-P_32:1_[M+H]1+ +718.5381 PC_31:1_[M+H]1+ / PE_34:1_[M+H]1+ / PA_36:2_[M+NH4]1+ +718.5745 PC-O_32:1_[M+H]1+ / PE-O_35:1_[M+H]1+ +718.6344 DG_42:4_[M+NH4]1+ +718.6497 CE_22:4_[M+NH4]1+ +719.4622 PA_36:4_[M+Na]1+ +719.4858 PG_32:2_[M+H]1+ +719.5221 PG-O_33:2_[M+H]1+ +719.5738 CE_22:6_[M+Na]1+ +719.6062 SM_35:0_[M+H]1+ +719.6912 DG_44:0_[M+H-H2O]1+ +720.481 PS_31:1_[M+H]1+ / PG_31:3_[M+NH4]1+ +720.5174 PS-O_32:1_[M+H]1+ +720.5538 PC_31:0_[M+H]1+ / PE_34:0_[M+H]1+ / PA_36:1_[M+NH4]1+ +720.5902 PC-O_32:0_[M+H]1+ / PE-O_35:0_[M+H]1+ +720.6266 PE-2O_36:0_[M+H]1+ +720.6501 DG_42:3_[M+NH4]1+ +720.6653 CE_22:3_[M+NH4]1+ +720.6982 2H-IS_PA_[M+NH4]1+ +721.3899 PI_24:0_[M+Na]1+ +721.4779 PA_36:3_[M+Na]1+ +721.5014 PG_32:1_[M+H]1+ +721.5378 PG-O_33:1_[M+H]1+ +721.5894 CE_22:5_[M+Na]1+ +721.7042 2H-IS_PA_[M+NH4]1+ +722.4004 PS_30:4_[M+Na]1+ +722.4755 PE_35:6_[M+H]1+ / PA_37:7_[M+NH4]1+ +722.4967 PS_31:0_[M+H]1+ / PG_31:2_[M+NH4]1+ +722.5119 PE-P_36:5_[M+H]1+ +722.533 PS-O_32:0_[M+H]1+ / PG-P_32:1_[M+NH4]1+ +722.5694 PA_36:0_[M+NH4]1+ +722.6293 TG_41:2_[M+NH4]1+ +722.6657 DG_42:2_[M+NH4]1+ +722.681 CE_22:2_[M+NH4]1+ +722.7096 2H-IS_PA_[M+NH4]1+ +723.4208 PG_31:4_[M+Na]1+ +723.4935 PA_36:2_[M+Na]1+ +723.5171 PG_32:0_[M+H]1+ +723.5534 PG-O_33:0_[M+H]1+ +723.6051 CE_22:4_[M+Na]1+ +723.715 2H-IS_PA_[M+NH4]1+ +724.416 PS_30:3_[M+Na]1+ +724.4912 PC_32:5_[M+H]1+ / PE_35:5_[M+H]1+ / PA_37:6_[M+NH4]1+ +724.5123 PG_31:1_[M+NH4]1+ +724.5276 PE-O_36:5_[M+H]1+ +724.5487 PG-O_32:1_[M+NH4]1+ +724.645 TG_41:1_[M+NH4]1+ +724.6814 DG_42:1_[M+NH4]1+ +724.6966 CE_22:1_[M+NH4]1+ +724.7197 2H-IS_PA_[M+NH4]1+ +725.4236 PI_26:1_[M+H]1+ +725.4364 PG_31:3_[M+Na]1+ +725.5092 PA_36:1_[M+Na]1+ +725.6207 CE_22:3_[M+Na]1+ +725.6534 2H-IS_PA_[M+Na]1+ +726.4317 PS_30:2_[M+Na]1+ +726.4341 PS_32:5_[M+H]1+ +726.468 PS-P_31:1_[M+Na]1+ +726.5068 PC_32:4_[M+H]1+ / PE_35:4_[M+H]1+ / PA_37:5_[M+NH4]1+ +726.528 PG_31:0_[M+NH4]1+ +726.5432 PE-O_36:4_[M+H]1+ +726.5643 PG-O_32:0_[M+NH4]1+ +726.6596 2H-IS_PA_[M+Na]1+ +726.6606 TG_41:0_[M+NH4]1+ +726.697 DG_42:0_[M+NH4]1+ +726.7123 CE_22:0_[M+NH4]1+ +727.4309 PA_37:7_[M+Na]1+ +727.4392 PI_26:0_[M+H]1+ +727.4521 PG_31:2_[M+Na]1+ +727.4545 PG_33:5_[M+H]1+ +727.4884 PG-P_32:1_[M+Na]1+ +727.4908 PG-P_34:4_[M+H]1+ +727.5248 PA_36:0_[M+Na]1+ +727.5749 SM_36:3_[M+H]1+ +727.5847 TG_41:2_[M+Na]1+ +727.6364 CE_22:2_[M+Na]1+ +727.6654 2H-IS_PA_[M+Na]1+ +728.4473 PS_30:1_[M+Na]1+ +728.4497 PS_32:4_[M+H]1+ +728.4837 PS-O_31:1_[M+Na]1+ +728.5225 PC_32:3_[M+H]1+ / PE_35:3_[M+H]1+ / PA_37:4_[M+NH4]1+ +728.5589 PC-P_33:2_[M+H]1+ / PE-O_36:3_[M+H]1+ +728.6188 DG_43:6_[M+NH4]1+ +728.6711 2H-IS_PA_[M+Na]1+ +728.7509 2H-IS_PS_[M+H]1+ +729.4466 PA_37:6_[M+Na]1+ +729.4677 PG_31:1_[M+Na]1+ +729.4701 PG_33:4_[M+H]1+ +729.5041 PG-O_32:1_[M+Na]1+ +729.5065 PG-O_34:4_[M+H]1+ +729.5905 SM_36:2_[M+H]1+ +729.6004 TG_41:1_[M+Na]1+ +729.652 CE_22:1_[M+Na]1+ +729.6752 2H-IS_PA_[M+Na]1+ +729.7572 2H-IS_PS_[M+H]1+ +730.4501 PI_25:0_[M+NH4]1+ +730.463 PS_30:0_[M+Na]1+ +730.4654 PS_32:3_[M+H]1+ / PG_32:5_[M+NH4]1+ +730.4993 PS-O_31:0_[M+Na]1+ +730.5017 PS-P_33:2_[M+H]1+ +730.5381 PC_32:2_[M+H]1+ / PE_35:2_[M+H]1+ / PA_37:3_[M+NH4]1+ +730.5405 DG_44:12_[M+NH4]1+ +730.5745 PC-O_33:2_[M+H]1+ / PE-O_36:2_[M+H]1+ +730.6344 DG_43:5_[M+NH4]1+ +730.7633 2H-IS_PS_[M+H]1+ +731.4622 PA_37:5_[M+Na]1+ +731.4834 PG_31:0_[M+Na]1+ +731.4858 PG_33:3_[M+H]1+ +731.5197 PG-O_32:0_[M+Na]1+ +731.5221 PG-O_34:3_[M+H]1+ +731.6062 SM_36:1_[M+H]1+ +731.616 TG_41:0_[M+Na]1+ +731.6677 CE_22:0_[M+Na]1+ +731.769 2H-IS_PS_[M+H]1+ +732.4599 PE_36:8_[M+H]1+ / PA_38:9_[M+NH4]1+ +732.481 PS_32:2_[M+H]1+ / PG_32:4_[M+NH4]1+ +732.5174 PS-O_33:2_[M+H]1+ +732.5538 PC_32:1_[M+H]1+ / PE_35:1_[M+H]1+ / PA_37:2_[M+NH4]1+ +732.5562 DG_44:11_[M+NH4]1+ +732.5902 PC-O_33:1_[M+H]1+ / PE-O_36:1_[M+H]1+ +732.6137 TG_42:4_[M+NH4]1+ +732.6266 PC-2O_34:1_[M+H]1+ +732.6501 DG_43:4_[M+NH4]1+ +732.7559 2H-IS_SM_[M+H]1+ +732.7748 2H-IS_PS_[M+H]1+ +733.4779 PA_37:4_[M+Na]1+ +733.5014 PG_33:2_[M+H]1+ +733.5378 PG-O_34:2_[M+H]1+ +733.6218 SM_36:0_[M+H]1+ +733.7618 2H-IS_SM_[M+H]1+ +733.7808 2H-IS_PS_[M+H]1+ +734.4755 PE_36:7_[M+H]1+ / PA_38:8_[M+NH4]1+ +734.4967 PS_32:1_[M+H]1+ / PG_32:3_[M+NH4]1+ +734.533 PS-O_33:1_[M+H]1+ / PG-P_33:2_[M+NH4]1+ +734.5694 PC_32:0_[M+H]1+ / PE_35:0_[M+H]1+ / PA_37:1_[M+NH4]1+ +734.5718 DG_44:10_[M+NH4]1+ +734.6058 PC-O_33:0_[M+H]1+ / PE-O_36:0_[M+H]1+ +734.6293 TG_42:3_[M+NH4]1+ +734.6422 PC-2O_34:0_[M+H]1+ +734.6657 DG_43:3_[M+NH4]1+ +734.7676 2H-IS_SM_[M+H]1+ +734.7867 2H-IS_PS_[M+H]1+ +735.4055 PI_25:0_[M+Na]1+ +735.4208 PG_32:5_[M+Na]1+ +735.4935 PA_37:3_[M+Na]1+ +735.5171 PG_33:1_[M+H]1+ +735.5534 PG-O_34:1_[M+H]1+ +735.771 2H-IS_SM_[M+H]1+ +735.7914 2H-IS_PS_[M+H]1+ +736.416 PS_31:4_[M+Na]1+ +736.4912 PE_36:6_[M+H]1+ / PA_38:7_[M+NH4]1+ +736.5123 PS_32:0_[M+H]1+ / PG_32:2_[M+NH4]1+ +736.5487 PS-O_33:0_[M+H]1+ / PG-O_33:2_[M+NH4]1+ +736.5851 PA_37:0_[M+NH4]1+ +736.5875 DG_44:9_[M+NH4]1+ +736.645 TG_42:2_[M+NH4]1+ +736.6814 DG_43:2_[M+NH4]1+ +736.7744 2H-IS_SM_[M+H]1+ +736.7947 2H-IS_PS_[M+H]1+ +737.4153 PA_38:9_[M+Na]1+ +737.4364 PG_32:4_[M+Na]1+ +737.5092 PA_37:2_[M+Na]1+ +737.5327 PG_33:0_[M+H]1+ +737.5691 PG-O_34:0_[M+H]1+ / TG_42:4_[M+Na]1+ +738.4317 PS_31:3_[M+Na]1+ +738.5068 PC_33:5_[M+H]1+ / PE_36:5_[M+H]1+ / PA_38:6_[M+NH4]1+ +738.528 PG_32:1_[M+NH4]1+ +738.5432 PC-P_34:4_[M+H]1+ +738.5643 PG-O_33:1_[M+NH4]1+ +738.6031 DG_44:8_[M+NH4]1+ +738.6606 TG_42:1_[M+NH4]1+ +738.697 DG_43:1_[M+NH4]1+ +739.4309 PA_38:8_[M+Na]1+ +739.4392 PI_27:1_[M+H]1+ +739.4521 PG_32:3_[M+Na]1+ +739.4545 PG_34:6_[M+H]1+ +739.4756 PI-P_28:0_[M+H]1+ +739.4884 PG-P_33:2_[M+Na]1+ +739.5248 PA_37:1_[M+Na]1+ +739.5847 TG_42:3_[M+Na]1+ +740.4473 PS_31:2_[M+Na]1+ +740.4497 PS_33:5_[M+H]1+ +740.4837 PS-P_32:1_[M+Na]1+ +740.4861 PS-P_34:4_[M+H]1+ +740.5225 PC_33:4_[M+H]1+ / PE_36:4_[M+H]1+ / PA_38:5_[M+NH4]1+ +740.5436 PG_32:0_[M+NH4]1+ +740.5589 PC-O_34:4_[M+H]1+ +740.58 PG-O_33:0_[M+NH4]1+ +740.6188 DG_44:7_[M+NH4]1+ +740.6763 TG_42:0_[M+NH4]1+ +740.7127 DG_43:0_[M+NH4]1+ +741.4466 PA_38:7_[M+Na]1+ +741.4549 PI_27:0_[M+H]1+ +741.4677 PG_32:2_[M+Na]1+ +741.4701 PG_34:5_[M+H]1+ +741.4912 PI-O_28:0_[M+H]1+ +741.5041 PG-O_33:2_[M+Na]1+ +741.5405 PA_37:0_[M+Na]1+ +741.6004 TG_42:2_[M+Na]1+ +742.4501 PI_26:1_[M+NH4]1+ +742.463 PS_31:1_[M+Na]1+ +742.4654 PS_33:4_[M+H]1+ +742.4993 PS-O_32:1_[M+Na]1+ +742.5017 PS-O_34:4_[M+H]1+ +742.5381 PC_33:3_[M+H]1+ / PE_36:3_[M+H]1+ / PA_38:4_[M+NH4]1+ +742.5745 PC-O_34:3_[M+H]1+ / PE-P_37:2_[M+H]1+ +742.6344 DG_44:6_[M+NH4]1+ +743.4622 PA_38:6_[M+Na]1+ +743.4834 PG_32:1_[M+Na]1+ +743.4858 PG_34:4_[M+H]1+ +743.5197 PG-O_33:1_[M+Na]1+ +743.616 TG_42:1_[M+Na]1+ +744.4658 PI_26:0_[M+NH4]1+ +744.4786 PS_31:0_[M+Na]1+ +744.481 PS_33:3_[M+H]1+ / PG_33:5_[M+NH4]1+ +744.515 PS-O_32:0_[M+Na]1+ +744.5174 PS-O_34:3_[M+H]1+ / PG-P_34:4_[M+NH4]1+ +744.5538 PC_33:2_[M+H]1+ / PE_36:2_[M+H]1+ / PA_38:3_[M+NH4]1+ +744.5902 PC-O_34:2_[M+H]1+ / PE-O_37:2_[M+H]1+ +744.6501 DG_44:5_[M+NH4]1+ +745.4779 PA_38:5_[M+Na]1+ +745.499 PG_32:0_[M+Na]1+ +745.5014 PG_34:3_[M+H]1+ +745.5354 PG-O_33:0_[M+Na]1+ +745.5378 PG-P_35:2_[M+H]1+ +745.6218 SM_37:1_[M+H]1+ +745.6317 TG_42:0_[M+Na]1+ +745.7072 2H-IS_PE_[M+H]1+ +746.4967 PS_33:2_[M+H]1+ / PG_33:4_[M+NH4]1+ +746.533 PS-O_34:2_[M+H]1+ / PG-O_34:4_[M+NH4]1+ +746.5694 PC_33:1_[M+H]1+ / PE_36:1_[M+H]1+ / PA_38:2_[M+NH4]1+ +746.6058 PC-O_34:1_[M+H]1+ / PE-O_37:1_[M+H]1+ +746.6293 TG_43:4_[M+NH4]1+ +746.6657 DG_44:4_[M+NH4]1+ +746.7129 2H-IS_PE_[M+H]1+ +747.4055 PI_26:1_[M+Na]1+ +747.4935 PA_38:4_[M+Na]1+ +747.5171 PG_34:2_[M+H]1+ +747.5534 PG-O_35:2_[M+H]1+ +747.7188 2H-IS_PE_[M+H]1+ +748.416 PS_32:5_[M+Na]1+ +748.4912 PE_37:7_[M+H]1+ / PA_39:8_[M+NH4]1+ +748.5123 PS_33:1_[M+H]1+ / PG_33:3_[M+NH4]1+ +748.5276 PE-P_38:6_[M+H]1+ +748.5487 PS-O_34:1_[M+H]1+ / PG-O_34:3_[M+NH4]1+ +748.5851 PC_33:0_[M+H]1+ / PE_36:0_[M+H]1+ / PA_38:1_[M+NH4]1+ +748.6215 PC-O_34:0_[M+H]1+ / PE-O_37:0_[M+H]1+ +748.645 TG_43:3_[M+NH4]1+ +748.6814 DG_44:3_[M+NH4]1+ +748.7244 2H-IS_PE_[M+H]1+ +749.4212 PI_26:0_[M+Na]1+ +749.4364 PG_33:5_[M+Na]1+ +749.4728 PG-P_34:4_[M+Na]1+ +749.5092 PA_38:3_[M+Na]1+ +749.5327 PG_34:1_[M+H]1+ +749.5691 PG-O_35:1_[M+H]1+ +749.7297 2H-IS_PE_[M+H]1+ +750.4317 PS_32:4_[M+Na]1+ +750.5068 PC_34:6_[M+H]1+ / PE_37:6_[M+H]1+ / PA_39:7_[M+NH4]1+ +750.528 PS_33:0_[M+H]1+ / PG_33:2_[M+NH4]1+ +750.5432 PE-O_38:6_[M+H]1+ +750.5643 PS-O_34:0_[M+H]1+ / PG-O_34:2_[M+NH4]1+ +750.6007 PA_38:0_[M+NH4]1+ +750.6606 TG_43:2_[M+NH4]1+ +750.697 DG_44:2_[M+NH4]1+ +750.7329 2H-IS_PS_[M+Na]1+ +750.734 2H-IS_PE_[M+H]1+ +751.4392 PI_28:2_[M+H]1+ +751.4521 PG_33:4_[M+Na]1+ +751.4884 PG-O_34:4_[M+Na]1+ +751.5248 PA_38:2_[M+Na]1+ +751.5484 PG_34:0_[M+H]1+ +751.5847 PG-O_35:0_[M+H]1+ / TG_43:4_[M+Na]1+ +751.7379 2H-IS_PE_[M+H]1+ +751.7389 2H-IS_PS_[M+Na]1+ +752.4473 PS_32:3_[M+Na]1+ +752.4497 PS_34:6_[M+H]1+ +752.4837 PS-P_33:2_[M+Na]1+ +752.5225 PC_34:5_[M+H]1+ / PE_37:5_[M+H]1+ / PA_39:6_[M+NH4]1+ +752.5436 PG_33:1_[M+NH4]1+ +752.5589 PE-O_38:5_[M+H]1+ +752.58 PG-O_34:1_[M+NH4]1+ +752.6763 TG_43:1_[M+NH4]1+ +752.7127 DG_44:1_[M+NH4]1+ +752.7279 CE_24:1_[M+NH4]1+ +752.7451 2H-IS_PS_[M+Na]1+ +753.4466 PA_39:8_[M+Na]1+ +753.4549 PI_28:1_[M+H]1+ +753.4677 PG_33:3_[M+Na]1+ +753.4701 PG_35:6_[M+H]1+ +753.4912 PI-P_29:0_[M+H]1+ +753.5041 PG-O_34:3_[M+Na]1+ +753.5065 PG-P_36:5_[M+H]1+ +753.5405 PA_38:1_[M+Na]1+ +753.6004 TG_43:3_[M+Na]1+ +753.7512 2H-IS_PS_[M+Na]1+ +754.463 PS_32:2_[M+Na]1+ +754.4654 PS_34:5_[M+H]1+ +754.4993 PS-O_33:2_[M+Na]1+ +754.5381 PC_34:4_[M+H]1+ / PE_37:4_[M+H]1+ / PA_39:5_[M+NH4]1+ +754.5593 PG_33:0_[M+NH4]1+ +754.5745 PC-O_35:4_[M+H]1+ / PE-O_38:4_[M+H]1+ +754.5956 PG-O_34:0_[M+NH4]1+ +754.6919 TG_43:0_[M+NH4]1+ +754.7283 DG_44:0_[M+NH4]1+ +754.7436 CE_24:0_[M+NH4]1+ +754.7573 2H-IS_PS_[M+Na]1+ +755.4622 PA_39:7_[M+Na]1+ +755.4705 PI_28:0_[M+H]1+ +755.4834 PG_33:2_[M+Na]1+ +755.4858 PG_35:5_[M+H]1+ +755.5069 PI-O_29:0_[M+H]1+ +755.5197 PG-O_34:2_[M+Na]1+ +755.5221 PG-O_36:5_[M+H]1+ +755.5561 PA_38:0_[M+Na]1+ +755.6062 SM_38:3_[M+H]1+ +755.616 TG_43:2_[M+Na]1+ +755.7635 2H-IS_PS_[M+Na]1+ +756.4658 PI_27:1_[M+NH4]1+ +756.4786 PS_32:1_[M+Na]1+ +756.481 PS_34:4_[M+H]1+ / PG_34:6_[M+NH4]1+ +756.5021 PI-P_28:0_[M+NH4]1+ +756.515 PS-O_33:1_[M+Na]1+ +756.5538 PC_34:3_[M+H]1+ / PE_37:3_[M+H]1+ / PA_39:4_[M+NH4]1+ +756.5902 PC-P_35:2_[M+H]1+ / PE-O_38:3_[M+H]1+ +756.7694 2H-IS_PS_[M+Na]1+ +757.4779 PA_39:6_[M+Na]1+ +757.499 PG_33:1_[M+Na]1+ +757.5014 PG_35:4_[M+H]1+ +757.5354 PG-O_34:1_[M+Na]1+ +757.5378 PG-O_36:4_[M+H]1+ +757.6218 SM_38:2_[M+H]1+ +757.6317 TG_43:1_[M+Na]1+ +757.6833 CE_24:1_[M+Na]1+ +757.7737 2H-IS_PS_[M+Na]1+ +758.4755 PE_38:9_[M+H]1+ / PA_40:10_[M+NH4]1+ +758.4814 PI_27:0_[M+NH4]1+ +758.4943 PS_32:0_[M+Na]1+ +758.4967 PS_34:3_[M+H]1+ / PG_34:5_[M+NH4]1+ +758.5178 PI-O_28:0_[M+NH4]1+ +758.5306 PS-O_33:0_[M+Na]1+ +758.533 PS-P_35:2_[M+H]1+ +758.5694 PC_34:2_[M+H]1+ / PE_37:2_[M+H]1+ / PA_39:3_[M+NH4]1+ +758.6058 PC-O_35:2_[M+H]1+ / PE-O_38:2_[M+H]1+ +758.6293 TG_44:5_[M+NH4]1+ +758.6422 PC-2O_36:1_[M+H]1+ +758.7761 2H-IS_PS_[M+Na]1+ +759.4935 PA_39:5_[M+Na]1+ +759.5147 PG_33:0_[M+Na]1+ +759.5171 PG_35:3_[M+H]1+ +759.551 PG-O_34:0_[M+Na]1+ +759.5534 PG-O_36:3_[M+H]1+ +759.6375 SM_38:1_[M+H]1+ +759.6473 TG_43:0_[M+Na]1+ +759.699 CE_24:0_[M+Na]1+ +760.4912 PE_38:8_[M+H]1+ / PA_40:9_[M+NH4]1+ +760.5123 PS_34:2_[M+H]1+ / PG_34:4_[M+NH4]1+ +760.5487 PS-O_35:2_[M+H]1+ +760.5851 PC_34:1_[M+H]1+ / PE_37:1_[M+H]1+ / PA_39:2_[M+NH4]1+ +760.6215 PC-O_35:1_[M+H]1+ / PE-O_38:1_[M+H]1+ +760.645 TG_44:4_[M+NH4]1+ +761.4212 PI_27:1_[M+Na]1+ +761.4364 PG_34:6_[M+Na]1+ +761.4575 PI-P_28:0_[M+Na]1+ +761.5092 PA_39:4_[M+Na]1+ +761.5327 PG_35:2_[M+H]1+ +761.5691 PG-O_36:2_[M+H]1+ +761.6531 SM_38:0_[M+H]1+ +762.4317 PS_33:5_[M+Na]1+ +762.468 PS-P_34:4_[M+Na]1+ +762.5068 PE_38:7_[M+H]1+ / PA_40:8_[M+NH4]1+ +762.528 PS_34:1_[M+H]1+ / PG_34:3_[M+NH4]1+ +762.5643 PS-O_35:1_[M+H]1+ / PG-P_35:2_[M+NH4]1+ +762.6007 PC_34:0_[M+H]1+ / PE_37:0_[M+H]1+ / PA_39:1_[M+NH4]1+ +762.6371 PC-O_35:0_[M+H]1+ / PE-O_38:0_[M+H]1+ +762.6606 TG_44:3_[M+NH4]1+ +763.4309 PA_40:10_[M+Na]1+ +763.4368 PI_27:0_[M+Na]1+ +763.4521 PG_34:5_[M+Na]1+ +763.4545 PG_36:8_[M+H]1+ +763.4732 PI-O_28:0_[M+Na]1+ +763.5248 PA_39:3_[M+Na]1+ +763.5484 PG_35:1_[M+H]1+ +763.5847 PG-O_36:1_[M+H]1+ / TG_44:5_[M+Na]1+ +764.4473 PS_33:4_[M+Na]1+ +764.4837 PS-O_34:4_[M+Na]1+ +764.5225 PC_35:6_[M+H]1+ / PE_38:6_[M+H]1+ / PA_40:7_[M+NH4]1+ +764.5436 PS_34:0_[M+H]1+ / PG_34:2_[M+NH4]1+ +764.5589 PC-P_36:5_[M+H]1+ +764.58 PS-O_35:0_[M+H]1+ / PG-O_35:2_[M+NH4]1+ +764.6164 PA_39:0_[M+NH4]1+ +764.6763 TG_44:2_[M+NH4]1+ +765.4466 PA_40:9_[M+Na]1+ +765.4549 PI_29:2_[M+H]1+ +765.4677 PG_34:4_[M+Na]1+ +765.4701 PG_36:7_[M+H]1+ +765.4912 PI-P_30:1_[M+H]1+ +765.5405 PA_39:2_[M+Na]1+ +765.564 PG_35:0_[M+H]1+ +765.6004 PG-O_36:0_[M+H]1+ / TG_44:4_[M+Na]1+ +766.463 PS_33:3_[M+Na]1+ +766.4654 PS_35:6_[M+H]1+ +766.4993 PS-O_34:3_[M+Na]1+ +766.5017 PS-P_36:5_[M+H]1+ +766.5381 PC_35:5_[M+H]1+ / PE_38:5_[M+H]1+ / PA_40:6_[M+NH4]1+ +766.5593 PG_34:1_[M+NH4]1+ +766.5745 PC-O_36:5_[M+H]1+ +766.5956 PG-O_35:1_[M+NH4]1+ +766.6919 TG_44:1_[M+NH4]1+ +767.4622 PA_40:8_[M+Na]1+ +767.4705 PI_29:1_[M+H]1+ +767.4834 PG_34:3_[M+Na]1+ +767.4858 PG_36:6_[M+H]1+ +767.5069 PI-O_30:1_[M+H]1+ +767.5197 PG-P_35:2_[M+Na]1+ +767.5561 PA_39:1_[M+Na]1+ +767.616 TG_44:3_[M+Na]1+ +768.4658 PI_28:2_[M+NH4]1+ +768.4786 PS_33:2_[M+Na]1+ +768.481 PS_35:5_[M+H]1+ +768.515 PS-O_34:2_[M+Na]1+ +768.5174 PS-O_36:5_[M+H]1+ +768.5538 PC_35:4_[M+H]1+ / PE_38:4_[M+H]1+ / PA_40:5_[M+NH4]1+ +768.5749 PG_34:0_[M+NH4]1+ +768.5902 PC-O_36:4_[M+H]1+ +768.6113 PG-O_35:0_[M+NH4]1+ +768.7076 TG_44:0_[M+NH4]1+ +769.4779 PA_40:7_[M+Na]1+ +769.4862 PI_29:0_[M+H]1+ +769.499 PG_34:2_[M+Na]1+ +769.5014 PG_36:5_[M+H]1+ +769.5225 PI-O_30:0_[M+H]1+ +769.5354 PG-O_35:2_[M+Na]1+ +769.5718 PA_39:0_[M+Na]1+ +769.6317 TG_44:2_[M+Na]1+ +770.4814 PI_28:1_[M+NH4]1+ +770.4943 PS_33:1_[M+Na]1+ +770.4967 PS_35:4_[M+H]1+ / PG_35:6_[M+NH4]1+ +770.5178 PI-P_29:0_[M+NH4]1+ +770.5306 PS-O_34:1_[M+Na]1+ +770.533 PS-O_36:4_[M+H]1+ / PG-P_36:5_[M+NH4]1+ +770.5694 PC_35:3_[M+H]1+ / PE_38:3_[M+H]1+ / PA_40:4_[M+NH4]1+ +770.6058 PC-O_36:3_[M+H]1+ +771.4935 PA_40:6_[M+Na]1+ +771.5147 PG_34:1_[M+Na]1+ +771.5171 PG_36:4_[M+H]1+ +771.551 PG-O_35:1_[M+Na]1+ +771.6375 SM_39:2_[M+H]1+ +771.6473 TG_44:1_[M+Na]1+ +772.4971 PI_28:0_[M+NH4]1+ +772.5099 PS_33:0_[M+Na]1+ +772.5123 PS_35:3_[M+H]1+ / PG_35:5_[M+NH4]1+ +772.5334 PI-O_29:0_[M+NH4]1+ +772.5463 PS-O_34:0_[M+Na]1+ +772.5487 PS-O_36:3_[M+H]1+ / PG-O_36:5_[M+NH4]1+ +772.5851 PC_35:2_[M+H]1+ / PE_38:2_[M+H]1+ / PA_40:3_[M+NH4]1+ +772.6215 PC-O_36:2_[M+H]1+ / PE-P_39:1_[M+H]1+ +772.645 TG_45:5_[M+NH4]1+ +773.4212 PI_28:2_[M+Na]1+ +773.5092 PA_40:5_[M+Na]1+ +773.5303 PG_34:0_[M+Na]1+ +773.5327 PG_36:3_[M+H]1+ +773.5667 PG-O_35:0_[M+Na]1+ +773.5691 PG-P_37:2_[M+H]1+ +773.6531 SM_39:1_[M+H]1+ +773.663 TG_44:0_[M+Na]1+ +774.4317 PS_34:6_[M+Na]1+ +774.5068 PC_36:8_[M+H]1+ / PE_39:8_[M+H]1+ +774.528 PS_35:2_[M+H]1+ / PG_35:4_[M+NH4]1+ +774.5432 PE-P_40:7_[M+H]1+ +774.5643 PS-O_36:2_[M+H]1+ / PG-O_36:4_[M+NH4]1+ +774.6007 PC_35:1_[M+H]1+ / PE_38:1_[M+H]1+ / PA_40:2_[M+NH4]1+ +774.6371 PC-O_36:1_[M+H]1+ / PE-O_39:1_[M+H]1+ +774.6606 TG_45:4_[M+NH4]1+ +775.4368 PI_28:1_[M+Na]1+ +775.4392 PI_30:4_[M+H]1+ +775.4521 PG_35:6_[M+Na]1+ +775.4732 PI-P_29:0_[M+Na]1+ +775.4884 PG-P_36:5_[M+Na]1+ +775.5248 PA_40:4_[M+Na]1+ +775.5484 PG_36:2_[M+H]1+ +775.5847 PG-O_37:2_[M+H]1+ +776.4473 PS_34:5_[M+Na]1+ +776.4497 PS_36:8_[M+H]1+ +776.5225 PC_36:7_[M+H]1+ / PE_39:7_[M+H]1+ +776.5436 PS_35:1_[M+H]1+ / PG_35:3_[M+NH4]1+ +776.5589 PE-P_40:6_[M+H]1+ +776.58 PS-O_36:1_[M+H]1+ / PG-O_36:3_[M+NH4]1+ +776.6164 PC_35:0_[M+H]1+ / PE_38:0_[M+H]1+ / PA_40:1_[M+NH4]1+ +776.6528 PC-O_36:0_[M+H]1+ / PE-O_39:0_[M+H]1+ +776.6763 TG_45:3_[M+NH4]1+ +777.4525 PI_28:0_[M+Na]1+ +777.4549 PI_30:3_[M+H]1+ +777.4677 PG_35:5_[M+Na]1+ +777.4888 PI-O_29:0_[M+Na]1+ +777.5041 PG-O_36:5_[M+Na]1+ +777.5405 PA_40:3_[M+Na]1+ +777.564 PG_36:1_[M+H]1+ +777.6004 PG-O_37:1_[M+H]1+ / TG_45:5_[M+Na]1+ +777.7073 2H-IS_PG_[M+H]1+ +778.463 PS_34:4_[M+Na]1+ +778.4654 PS_36:7_[M+H]1+ +778.5381 PC_36:6_[M+H]1+ / PE_39:6_[M+H]1+ / PA_41:7_[M+NH4]1+ +778.5593 PS_35:0_[M+H]1+ / PG_35:2_[M+NH4]1+ +778.5745 PE-O_40:6_[M+H]1+ +778.5956 PS-O_36:0_[M+H]1+ / PG-O_36:2_[M+NH4]1+ +778.632 PA_40:0_[M+NH4]1+ +778.6919 TG_45:2_[M+NH4]1+ +778.7135 2H-IS_PG_[M+H]1+ +779.4705 PI_30:2_[M+H]1+ +779.4834 PG_35:4_[M+Na]1+ +779.4858 PG_37:7_[M+H]1+ +779.5069 PI-P_31:1_[M+H]1+ +779.5197 PG-O_36:4_[M+Na]1+ +779.5221 PG-P_38:6_[M+H]1+ +779.5561 PA_40:2_[M+Na]1+ +779.5797 PG_36:0_[M+H]1+ +779.616 PG-O_37:0_[M+H]1+ / TG_45:4_[M+Na]1+ +779.7194 2H-IS_PG_[M+H]1+ +780.4786 PS_34:3_[M+Na]1+ +780.481 PS_36:6_[M+H]1+ / PG_36:8_[M+NH4]1+ +780.515 PS-P_35:2_[M+Na]1+ +780.5538 PC_36:5_[M+H]1+ / PE_39:5_[M+H]1+ / PA_41:6_[M+NH4]1+ +780.5749 PG_35:1_[M+NH4]1+ +780.5902 PE-O_40:5_[M+H]1+ +780.6113 PG-O_36:1_[M+NH4]1+ +780.7076 TG_45:1_[M+NH4]1+ +780.7253 2H-IS_PG_[M+H]1+ +781.4862 PI_30:1_[M+H]1+ +781.499 PG_35:3_[M+Na]1+ +781.5014 PG_37:6_[M+H]1+ +781.5225 PI-O_31:1_[M+H]1+ +781.5354 PG-O_36:3_[M+Na]1+ +781.5378 PG-O_38:6_[M+H]1+ +781.5718 PA_40:1_[M+Na]1+ +781.6317 TG_45:3_[M+Na]1+ +781.7294 2H-IS_PG_[M+H]1+ +782.4814 PI_29:2_[M+NH4]1+ +782.4943 PS_34:2_[M+Na]1+ +782.4967 PS_36:5_[M+H]1+ / PG_36:7_[M+NH4]1+ +782.5178 PI-P_30:1_[M+NH4]1+ +782.5306 PS-O_35:2_[M+Na]1+ +782.5694 PC_36:4_[M+H]1+ / PE_39:4_[M+H]1+ / PA_41:5_[M+NH4]1+ +782.5906 PG_35:0_[M+NH4]1+ +782.6058 PC-O_37:4_[M+H]1+ / PE-O_40:4_[M+H]1+ +782.6269 PG-O_36:0_[M+NH4]1+ +782.7232 TG_45:0_[M+NH4]1+ +782.733 2H-IS_PG_[M+H]1+ +783.4935 PA_41:7_[M+Na]1+ +783.5018 PI_30:0_[M+H]1+ +783.5147 PG_35:2_[M+Na]1+ +783.5171 PG_37:5_[M+H]1+ +783.5382 PI-O_31:0_[M+H]1+ +783.551 PG-O_36:2_[M+Na]1+ +783.5534 PG-O_38:5_[M+H]1+ +783.5874 PA_40:0_[M+Na]1+ +783.6375 SM_40:3_[M+H]1+ +783.6473 TG_45:2_[M+Na]1+ +784.4912 PE_40:10_[M+H]1+ / PA_42:11_[M+NH4]1+ +784.4971 PI_29:1_[M+NH4]1+ +784.5099 PS_34:1_[M+Na]1+ +784.5123 PS_36:4_[M+H]1+ / PG_36:6_[M+NH4]1+ +784.5334 PI-O_30:1_[M+NH4]1+ +784.5463 PS-O_35:1_[M+Na]1+ +784.5851 PC_36:3_[M+H]1+ / PE_39:3_[M+H]1+ / PA_41:4_[M+NH4]1+ +784.6215 PC-P_37:2_[M+H]1+ / PE-O_40:3_[M+H]1+ +784.645 TG_46:6_[M+NH4]1+ +785.4364 PG_36:8_[M+Na]1+ +785.5092 PA_41:6_[M+Na]1+ +785.5303 PG_35:1_[M+Na]1+ +785.5327 PG_37:4_[M+H]1+ +785.5667 PG-O_36:1_[M+Na]1+ +785.5691 PG-O_38:4_[M+H]1+ +785.6531 SM_40:2_[M+H]1+ +785.663 TG_45:1_[M+Na]1+ +786.5068 PE_40:9_[M+H]1+ / PA_42:10_[M+NH4]1+ +786.5127 PI_29:0_[M+NH4]1+ +786.5256 PS_34:0_[M+Na]1+ +786.528 PS_36:3_[M+H]1+ / PG_36:5_[M+NH4]1+ +786.5491 PI-O_30:0_[M+NH4]1+ +786.5619 PS-O_35:0_[M+Na]1+ +786.5643 PS-P_37:2_[M+H]1+ +786.6007 PC_36:2_[M+H]1+ / PE_39:2_[M+H]1+ / PA_41:3_[M+NH4]1+ +786.6371 PC-O_37:2_[M+H]1+ / PE-O_40:2_[M+H]1+ +786.6606 TG_46:5_[M+NH4]1+ +787.4368 PI_29:2_[M+Na]1+ +787.4521 PG_36:7_[M+Na]1+ +787.4732 PI-P_30:1_[M+Na]1+ +787.5248 PA_41:5_[M+Na]1+ +787.546 PG_35:0_[M+Na]1+ +787.5484 PG_37:3_[M+H]1+ +787.5823 PG-O_36:0_[M+Na]1+ +787.5847 PG-O_38:3_[M+H]1+ +787.6688 SM_40:1_[M+H]1+ +787.6786 TG_45:0_[M+Na]1+ +788.4473 PS_35:6_[M+Na]1+ +788.4837 PS-P_36:5_[M+Na]1+ +788.5225 PE_40:8_[M+H]1+ / PA_42:9_[M+NH4]1+ +788.5436 PS_36:2_[M+H]1+ / PG_36:4_[M+NH4]1+ +788.58 PS-O_37:2_[M+H]1+ +788.6164 PC_36:1_[M+H]1+ / PE_39:1_[M+H]1+ / PA_41:2_[M+NH4]1+ +788.6528 PC-O_37:1_[M+H]1+ / PE-O_40:1_[M+H]1+ +788.6763 TG_46:4_[M+NH4]1+ +788.7597 2H-IS_PC_[M+H]1+ +789.4466 PA_42:11_[M+Na]1+ +789.4525 PI_29:1_[M+Na]1+ +789.4549 PI_31:4_[M+H]1+ +789.4677 PG_36:6_[M+Na]1+ +789.4701 PG_38:9_[M+H]1+ +789.4888 PI-O_30:1_[M+Na]1+ +789.5405 PA_41:4_[M+Na]1+ +789.564 PG_37:2_[M+H]1+ +789.6004 PG-O_38:2_[M+H]1+ / TG_46:6_[M+Na]1+ +789.6844 SM_40:0_[M+H]1+ +789.7655 2H-IS_PC_[M+H]1+ +790.463 PS_35:5_[M+Na]1+ +790.4993 PS-O_36:5_[M+Na]1+ +790.5381 PC_37:7_[M+H]1+ / PE_40:7_[M+H]1+ / PA_42:8_[M+NH4]1+ +790.5593 PS_36:1_[M+H]1+ / PG_36:3_[M+NH4]1+ +790.5745 PC-P_38:6_[M+H]1+ +790.5956 PS-O_37:1_[M+H]1+ / PG-P_37:2_[M+NH4]1+ +790.632 PC_36:0_[M+H]1+ / PE_39:0_[M+H]1+ / PA_41:1_[M+NH4]1+ +790.6684 PC-O_37:0_[M+H]1+ / PE-O_40:0_[M+H]1+ +790.6919 TG_46:3_[M+NH4]1+ +790.771 2H-IS_PC_[M+H]1+ +791.4622 PA_42:10_[M+Na]1+ +791.4681 PI_29:0_[M+Na]1+ +791.4705 PI_31:3_[M+H]1+ +791.4834 PG_36:5_[M+Na]1+ +791.4858 PG_38:8_[M+H]1+ +791.5045 PI-O_30:0_[M+Na]1+ +791.5561 PA_41:3_[M+Na]1+ +791.5797 PG_37:1_[M+H]1+ +791.616 PG-O_38:1_[M+H]1+ / TG_46:5_[M+Na]1+ +791.7761 2H-IS_PC_[M+H]1+ +792.4658 PI_30:4_[M+NH4]1+ +792.4786 PS_35:4_[M+Na]1+ +792.481 PS_37:7_[M+H]1+ +792.515 PS-O_36:4_[M+Na]1+ +792.5174 PS-P_38:6_[M+H]1+ +792.5538 PC_37:6_[M+H]1+ / PE_40:6_[M+H]1+ / PA_42:7_[M+NH4]1+ +792.5749 PS_36:0_[M+H]1+ / PG_36:2_[M+NH4]1+ +792.5902 PC-O_38:6_[M+H]1+ +792.6113 PS-O_37:0_[M+H]1+ / PG-O_37:2_[M+NH4]1+ +792.6477 PA_41:0_[M+NH4]1+ +792.7076 TG_46:2_[M+NH4]1+ +792.7799 2H-IS_PC_[M+H]1+ +793.4779 PA_42:9_[M+Na]1+ +793.4862 PI_31:2_[M+H]1+ +793.499 PG_36:4_[M+Na]1+ +793.5014 PG_38:7_[M+H]1+ +793.5225 PI-P_32:1_[M+H]1+ +793.5718 PA_41:2_[M+Na]1+ +793.5953 PG_37:0_[M+H]1+ +793.6317 PG-O_38:0_[M+H]1+ / TG_46:4_[M+Na]1+ +793.7276 2H-IS_PG_[M+NH4]1+ +793.7842 2H-IS_PC_[M+H]1+ +793.8696 2H-IS_PS16_[M+H]1+ +794.4814 PI_30:3_[M+NH4]1+ +794.4943 PS_35:3_[M+Na]1+ +794.4967 PS_37:6_[M+H]1+ +794.5306 PS-O_36:3_[M+Na]1+ +794.533 PS-O_38:6_[M+H]1+ +794.5694 PC_37:5_[M+H]1+ / PE_40:5_[M+H]1+ / PA_42:6_[M+NH4]1+ +794.5906 PG_36:1_[M+NH4]1+ +794.6058 PC-O_38:5_[M+H]1+ +794.6269 PG-O_37:1_[M+NH4]1+ +794.7232 TG_46:1_[M+NH4]1+ +794.7337 2H-IS_PG_[M+NH4]1+ +794.8758 2H-IS_PS16_[M+H]1+ +795.4935 PA_42:8_[M+Na]1+ +795.5018 PI_31:1_[M+H]1+ +795.5147 PG_36:3_[M+Na]1+ +795.5171 PG_38:6_[M+H]1+ +795.5382 PI-O_32:1_[M+H]1+ +795.551 PG-P_37:2_[M+Na]1+ +795.5874 PA_41:1_[M+Na]1+ +795.6473 TG_46:3_[M+Na]1+ +795.7398 2H-IS_PG_[M+NH4]1+ +795.8815 2H-IS_PS16_[M+H]1+ +796.4971 PI_30:2_[M+NH4]1+ +796.5099 PS_35:2_[M+Na]1+ +796.5123 PS_37:5_[M+H]1+ / PG_37:7_[M+NH4]1+ +796.5334 PI-P_31:1_[M+NH4]1+ +796.5463 PS-O_36:2_[M+Na]1+ +796.5487 PS-O_38:5_[M+H]1+ / PG-P_38:6_[M+NH4]1+ +796.5851 PC_37:4_[M+H]1+ / PE_40:4_[M+H]1+ / PA_42:5_[M+NH4]1+ +796.6062 PG_36:0_[M+NH4]1+ +796.6215 PC-O_38:4_[M+H]1+ +796.6426 PG-O_37:0_[M+NH4]1+ +796.7389 TG_46:0_[M+NH4]1+ +796.7453 2H-IS_PG_[M+NH4]1+ +796.887 2H-IS_PS16_[M+H]1+ +797.4212 PI_30:4_[M+Na]1+ +797.5092 PA_42:7_[M+Na]1+ +797.5175 PI_31:0_[M+H]1+ +797.5303 PG_36:2_[M+Na]1+ +797.5327 PG_38:5_[M+H]1+ +797.5538 PI-O_32:0_[M+H]1+ +797.5667 PG-O_37:2_[M+Na]1+ +797.6031 PA_41:0_[M+Na]1+ +797.663 TG_46:2_[M+Na]1+ +797.7509 2H-IS_PG_[M+NH4]1+ +797.8929 2H-IS_PS16_[M+H]1+ +798.4317 PS_36:8_[M+Na]1+ +798.5127 PI_30:1_[M+NH4]1+ +798.5256 PS_35:1_[M+Na]1+ +798.528 PS_37:4_[M+H]1+ / PG_37:6_[M+NH4]1+ +798.5491 PI-O_31:1_[M+NH4]1+ +798.5619 PS-O_36:1_[M+Na]1+ +798.5643 PS-O_38:4_[M+H]1+ / PG-O_38:6_[M+NH4]1+ +798.6007 PC_37:3_[M+H]1+ / PE_40:3_[M+H]1+ / PA_42:4_[M+NH4]1+ +798.6371 PC-O_38:3_[M+H]1+ +798.6606 TG_47:6_[M+NH4]1+ +798.7555 2H-IS_PG_[M+NH4]1+ +798.899 2H-IS_PS16_[M+H]1+ +799.4368 PI_30:3_[M+Na]1+ +799.5248 PA_42:6_[M+Na]1+ +799.546 PG_36:1_[M+Na]1+ +799.5484 PG_38:4_[M+H]1+ +799.5823 PG-O_37:1_[M+Na]1+ +799.6688 SM_41:1_[M+H]1+ +799.6786 TG_46:1_[M+Na]1+ +799.69 2H-IS_PG_[M+Na]1+ +799.7588 2H-IS_PG_[M+NH4]1+ +799.9036 2H-IS_PS16_[M+H]1+ +800.4473 PS_36:7_[M+Na]1+ +800.5225 PC_38:9_[M+H]1+ +800.5284 PI_30:0_[M+NH4]1+ +800.5412 PS_35:0_[M+Na]1+ +800.5436 PS_37:3_[M+H]1+ / PG_37:5_[M+NH4]1+ +800.5647 PI-O_31:0_[M+NH4]1+ +800.5776 PS-O_36:0_[M+Na]1+ +800.58 PS-O_38:3_[M+H]1+ / PG-O_38:5_[M+NH4]1+ +800.6164 PC_37:2_[M+H]1+ / PE_40:2_[M+H]1+ / PA_42:3_[M+NH4]1+ +800.6528 PC-O_38:2_[M+H]1+ +800.6763 TG_47:5_[M+NH4]1+ +800.6952 2H-IS_PG_[M+Na]1+ +801.4525 PI_30:2_[M+Na]1+ +801.4549 PI_32:5_[M+H]1+ +801.4677 PG_37:7_[M+Na]1+ +801.4888 PI-P_31:1_[M+Na]1+ +801.5041 PG-P_38:6_[M+Na]1+ +801.5405 PA_42:5_[M+Na]1+ +801.5616 PG_36:0_[M+Na]1+ +801.564 PG_38:3_[M+H]1+ +801.598 PG-O_37:0_[M+Na]1+ +801.6844 SM_41:0_[M+H]1+ +801.6943 TG_46:0_[M+Na]1+ +801.7012 2H-IS_PG_[M+Na]1+ +802.463 PS_36:6_[M+Na]1+ +802.4654 PS_38:9_[M+H]1+ +802.5381 PC_38:8_[M+H]1+ +802.5593 PS_37:2_[M+H]1+ / PG_37:4_[M+NH4]1+ +802.5956 PS-O_38:2_[M+H]1+ / PG-O_38:4_[M+NH4]1+ +802.632 PC_37:1_[M+H]1+ / PE_40:1_[M+H]1+ / PA_42:2_[M+NH4]1+ +802.6684 PC-O_38:1_[M+H]1+ / PE-P_41:0_[M+H]1+ +802.6919 TG_47:4_[M+NH4]1+ +802.707 2H-IS_PG_[M+Na]1+ +803.4681 PI_30:1_[M+Na]1+ +803.4705 PI_32:4_[M+H]1+ +803.4834 PG_37:6_[M+Na]1+ +803.5045 PI-O_31:1_[M+Na]1+ +803.5197 PG-O_38:6_[M+Na]1+ +803.5561 PA_42:4_[M+Na]1+ +803.5797 PG_38:2_[M+H]1+ +803.616 PG-P_39:1_[M+H]1+ / TG_47:6_[M+Na]1+ +803.7109 2H-IS_PG_[M+Na]1+ +804.4786 PS_36:5_[M+Na]1+ +804.481 PS_38:8_[M+H]1+ +804.5538 PC_38:7_[M+H]1+ / PE_41:7_[M+H]1+ +804.5749 PS_37:1_[M+H]1+ / PG_37:3_[M+NH4]1+ +804.5902 PE-P_42:6_[M+H]1+ +804.6113 PS-O_38:1_[M+H]1+ / PG-O_38:3_[M+NH4]1+ +804.6477 PC_37:0_[M+H]1+ / PE_40:0_[M+H]1+ / PA_42:1_[M+NH4]1+ +804.6841 PC-O_38:0_[M+H]1+ / PE-O_41:0_[M+H]1+ +804.7076 TG_47:3_[M+NH4]1+ +805.4838 PI_30:0_[M+Na]1+ +805.4862 PI_32:3_[M+H]1+ +805.499 PG_37:5_[M+Na]1+ +805.5014 PG_39:8_[M+H]1+ +805.5201 PI-O_31:0_[M+Na]1+ +805.5225 PI-P_33:2_[M+H]1+ +805.5354 PG-O_38:5_[M+Na]1+ +805.5718 PA_42:3_[M+Na]1+ +805.5953 PG_38:1_[M+H]1+ +805.6317 PG-O_39:1_[M+H]1+ / TG_47:5_[M+Na]1+ +806.4814 PI_31:4_[M+NH4]1+ +806.4943 PS_36:4_[M+Na]1+ +806.4967 PS_38:7_[M+H]1+ / PG_38:9_[M+NH4]1+ +806.5694 PC_38:6_[M+H]1+ / PE_41:6_[M+H]1+ +806.5906 PS_37:0_[M+H]1+ / PG_37:2_[M+NH4]1+ +806.6058 PE-O_42:6_[M+H]1+ +806.6269 PS-O_38:0_[M+H]1+ / PG-O_38:2_[M+NH4]1+ +806.6633 PA_42:0_[M+NH4]1+ +806.7232 TG_47:2_[M+NH4]1+ +807.5018 PI_32:2_[M+H]1+ +807.5147 PG_37:4_[M+Na]1+ +807.5171 PG_39:7_[M+H]1+ +807.5382 PI-O_33:2_[M+H]1+ +807.551 PG-O_38:4_[M+Na]1+ +807.5534 PG-P_40:6_[M+H]1+ +807.5874 PA_42:2_[M+Na]1+ +807.611 PG_38:0_[M+H]1+ +807.6473 PG-O_39:0_[M+H]1+ / TG_47:4_[M+Na]1+ +808.4971 PI_31:3_[M+NH4]1+ +808.5099 PS_36:3_[M+Na]1+ +808.5123 PS_38:6_[M+H]1+ / PG_38:8_[M+NH4]1+ +808.5463 PS-P_37:2_[M+Na]1+ +808.5851 PC_38:5_[M+H]1+ / PE_41:5_[M+H]1+ / PA_43:6_[M+NH4]1+ +808.6062 PG_37:1_[M+NH4]1+ +808.6215 PE-P_42:4_[M+H]1+ +808.6426 PG-O_38:1_[M+NH4]1+ +808.645 TG_48:8_[M+NH4]1+ +808.7389 TG_47:1_[M+NH4]1+ +809.5175 PI_32:1_[M+H]1+ +809.5303 PG_37:3_[M+Na]1+ +809.5327 PG_39:6_[M+H]1+ +809.5538 PI-O_33:1_[M+H]1+ +809.5667 PG-O_38:3_[M+Na]1+ +809.5691 PG-O_40:6_[M+H]1+ +809.6031 PA_42:1_[M+Na]1+ +809.663 TG_47:3_[M+Na]1+ +810.5068 PE_42:11_[M+H]1+ / PA_44:12_[M+NH4]1+ +810.5127 PI_31:2_[M+NH4]1+ +810.5256 PS_36:2_[M+Na]1+ +810.528 PS_38:5_[M+H]1+ / PG_38:7_[M+NH4]1+ +810.5491 PI-P_32:1_[M+NH4]1+ +810.5619 PS-O_37:2_[M+Na]1+ +810.6007 PC_38:4_[M+H]1+ / PE_41:4_[M+H]1+ +810.6219 PG_37:0_[M+NH4]1+ +810.6371 PE-O_42:4_[M+H]1+ +810.6582 PG-O_38:0_[M+NH4]1+ +810.6606 TG_48:7_[M+NH4]1+ +810.7545 TG_47:0_[M+NH4]1+ +811.4368 PI_31:4_[M+Na]1+ +811.4521 PG_38:9_[M+Na]1+ +811.5331 PI_32:0_[M+H]1+ +811.546 PG_37:2_[M+Na]1+ +811.5484 PG_39:5_[M+H]1+ +811.5695 PI-O_33:0_[M+H]1+ +811.5823 PG-O_38:2_[M+Na]1+ +811.5847 PG-O_40:5_[M+H]1+ +811.6187 PA_42:0_[M+Na]1+ +811.6688 SM_42:3_[M+H]1+ +811.6786 TG_47:2_[M+Na]1+ +812.5225 PE_42:10_[M+H]1+ +812.5284 PI_31:1_[M+NH4]1+ +812.5412 PS_36:1_[M+Na]1+ +812.5436 PS_38:4_[M+H]1+ / PG_38:6_[M+NH4]1+ +812.5647 PI-O_32:1_[M+NH4]1+ +812.5776 PS-O_37:1_[M+Na]1+ +812.6164 PC_38:3_[M+H]1+ / PE_41:3_[M+H]1+ / PA_43:4_[M+NH4]1+ +812.6528 PE-P_42:2_[M+H]1+ +812.6763 TG_48:6_[M+NH4]1+ +813.4525 PI_31:3_[M+Na]1+ +813.4677 PG_38:8_[M+Na]1+ +813.5405 PA_43:6_[M+Na]1+ +813.5616 PG_37:1_[M+Na]1+ +813.564 PG_39:4_[M+H]1+ +813.598 PG-O_38:1_[M+Na]1+ +813.6004 PG-O_40:4_[M+H]1+ / TG_48:8_[M+Na]1+ +813.6844 SM_42:2_[M+H]1+ +813.6943 TG_47:1_[M+Na]1+ +814.463 PS_37:7_[M+Na]1+ +814.4993 PS-P_38:6_[M+Na]1+ +814.5381 PE_42:9_[M+H]1+ / PA_44:10_[M+NH4]1+ +814.544 PI_31:0_[M+NH4]1+ +814.5569 PS_36:0_[M+Na]1+ +814.5593 PS_38:3_[M+H]1+ / PG_38:5_[M+NH4]1+ +814.5804 PI-O_32:0_[M+NH4]1+ +814.5932 PS-O_37:0_[M+Na]1+ +814.632 PC_38:2_[M+H]1+ / PE_41:2_[M+H]1+ +814.6684 PC-P_39:1_[M+H]1+ / PE-O_42:2_[M+H]1+ +814.6919 TG_48:5_[M+NH4]1+ +815.4622 PA_44:12_[M+Na]1+ +815.4681 PI_31:2_[M+Na]1+ +815.4705 PI_33:5_[M+H]1+ +815.4834 PG_38:7_[M+Na]1+ +815.4858 PG_40:10_[M+H]1+ +815.5045 PI-P_32:1_[M+Na]1+ +815.5069 PI-P_34:4_[M+H]1+ +815.5773 PG_37:0_[M+Na]1+ +815.5797 PG_39:3_[M+H]1+ +815.6136 PG-O_38:0_[M+Na]1+ +815.616 PG-O_40:3_[M+H]1+ / TG_48:7_[M+Na]1+ +815.7001 SM_42:1_[M+H]1+ +815.7099 TG_47:0_[M+Na]1+ +816.4786 PS_37:6_[M+Na]1+ +816.515 PS-O_38:6_[M+Na]1+ +816.5538 PC_39:8_[M+H]1+ / PE_42:8_[M+H]1+ +816.5749 PS_38:2_[M+H]1+ / PG_38:4_[M+NH4]1+ +816.6113 PS-P_39:1_[M+H]1+ +816.6477 PC_38:1_[M+H]1+ / PE_41:1_[M+H]1+ / PA_43:2_[M+NH4]1+ +816.6841 PC-O_39:1_[M+H]1+ / PE-O_42:1_[M+H]1+ +816.7076 TG_48:4_[M+NH4]1+ +816.8573 2H-IS_PS16_[M+Na]1+ +817.4838 PI_31:1_[M+Na]1+ +817.4862 PI_33:4_[M+H]1+ +817.499 PG_38:6_[M+Na]1+ +817.5014 PG_40:9_[M+H]1+ +817.5201 PI-O_32:1_[M+Na]1+ +817.5225 PI-O_34:4_[M+H]1+ +817.5718 PA_43:4_[M+Na]1+ +817.5953 PG_39:2_[M+H]1+ +817.6317 PG-O_40:2_[M+H]1+ / TG_48:6_[M+Na]1+ +817.7157 SM_42:0_[M+H]1+ +817.8637 2H-IS_PS16_[M+Na]1+ +818.4814 PI_32:5_[M+NH4]1+ +818.4943 PS_37:5_[M+Na]1+ +818.4967 PS_39:8_[M+H]1+ +818.5306 PS-O_38:5_[M+Na]1+ +818.5694 PC_39:7_[M+H]1+ / PE_42:7_[M+H]1+ / PA_44:8_[M+NH4]1+ +818.5906 PS_38:1_[M+H]1+ / PG_38:3_[M+NH4]1+ +818.6058 PC-P_40:6_[M+H]1+ +818.6269 PS-O_39:1_[M+H]1+ +818.6633 PC_38:0_[M+H]1+ / PE_41:0_[M+H]1+ / PA_43:1_[M+NH4]1+ +818.6997 PC-O_39:0_[M+H]1+ / PE-O_42:0_[M+H]1+ +818.7232 TG_48:3_[M+NH4]1+ +818.7361 PC-2O_40:0_[M+H]1+ +818.8696 2H-IS_PS16_[M+Na]1+ +819.4935 PA_44:10_[M+Na]1+ +819.4994 PI_31:0_[M+Na]1+ +819.5018 PI_33:3_[M+H]1+ +819.5147 PG_38:5_[M+Na]1+ +819.5171 PG_40:8_[M+H]1+ +819.5358 PI-O_32:0_[M+Na]1+ +819.5382 PI-O_34:3_[M+H]1+ +819.611 PG_39:1_[M+H]1+ +819.6473 PG-O_40:1_[M+H]1+ / TG_48:5_[M+Na]1+ +819.8756 2H-IS_PS16_[M+Na]1+ +820.4971 PI_32:4_[M+NH4]1+ +820.5099 PS_37:4_[M+Na]1+ +820.5123 PS_39:7_[M+H]1+ +820.5463 PS-O_38:4_[M+Na]1+ +820.5487 PS-P_40:6_[M+H]1+ +820.5851 PC_39:6_[M+H]1+ / PE_42:6_[M+H]1+ / PA_44:7_[M+NH4]1+ +820.6062 PS_38:0_[M+H]1+ / PG_38:2_[M+NH4]1+ +820.6215 PC-O_40:6_[M+H]1+ +820.6426 PS-O_39:0_[M+H]1+ / PG-P_39:1_[M+NH4]1+ +820.679 PA_43:0_[M+NH4]1+ +820.7389 TG_48:2_[M+NH4]1+ +820.8811 2H-IS_PS16_[M+Na]1+ +821.5175 PI_33:2_[M+H]1+ +821.5303 PG_38:4_[M+Na]1+ +821.5327 PG_40:7_[M+H]1+ +821.5538 PI-O_34:2_[M+H]1+ +821.6031 PA_43:2_[M+Na]1+ +821.6266 PG_39:0_[M+H]1+ +821.663 PG-O_40:0_[M+H]1+ / TG_48:4_[M+Na]1+ +822.5127 PI_32:3_[M+NH4]1+ +822.5256 PS_37:3_[M+Na]1+ +822.528 PS_39:6_[M+H]1+ / PG_39:8_[M+NH4]1+ +822.5491 PI-P_33:2_[M+NH4]1+ +822.5619 PS-O_38:3_[M+Na]1+ +822.5643 PS-O_40:6_[M+H]1+ +822.6007 PC_39:5_[M+H]1+ / PE_42:5_[M+H]1+ / PA_44:6_[M+NH4]1+ +822.6219 PG_38:1_[M+NH4]1+ +822.6371 PC-O_40:5_[M+H]1+ +822.6582 PG-O_39:1_[M+NH4]1+ +822.6606 TG_49:8_[M+NH4]1+ +822.7545 TG_48:1_[M+NH4]1+ +823.4368 PI_32:5_[M+Na]1+ +823.5248 PA_44:8_[M+Na]1+ +823.5331 PI_33:1_[M+H]1+ +823.546 PG_38:3_[M+Na]1+ +823.5484 PG_40:6_[M+H]1+ +823.5695 PI-O_34:1_[M+H]1+ +823.6187 PA_43:1_[M+Na]1+ +823.6786 TG_48:3_[M+Na]1+ +824.4473 PS_38:9_[M+Na]1+ +824.5284 PI_32:2_[M+NH4]1+ +824.5412 PS_37:2_[M+Na]1+ +824.5436 PS_39:5_[M+H]1+ / PG_39:7_[M+NH4]1+ +824.5647 PI-O_33:2_[M+NH4]1+ +824.5776 PS-O_38:2_[M+Na]1+ +824.58 PS-O_40:5_[M+H]1+ / PG-P_40:6_[M+NH4]1+ +824.6164 PC_39:4_[M+H]1+ / PE_42:4_[M+H]1+ / PA_44:5_[M+NH4]1+ +824.6375 PG_38:0_[M+NH4]1+ +824.6528 PC-O_40:4_[M+H]1+ +824.6739 PG-O_39:0_[M+NH4]1+ +824.6763 TG_49:7_[M+NH4]1+ +824.7702 TG_48:0_[M+NH4]1+ +825.4525 PI_32:4_[M+Na]1+ +825.5405 PA_44:7_[M+Na]1+ +825.5488 PI_33:0_[M+H]1+ +825.5616 PG_38:2_[M+Na]1+ +825.564 PG_40:5_[M+H]1+ +825.5851 PI-O_34:0_[M+H]1+ +825.598 PG-P_39:1_[M+Na]1+ +825.6344 PA_43:0_[M+Na]1+ +825.6943 TG_48:2_[M+Na]1+ +826.463 PS_38:8_[M+Na]1+ +826.5381 PC_40:10_[M+H]1+ +826.544 PI_32:1_[M+NH4]1+ +826.5569 PS_37:1_[M+Na]1+ +826.5593 PS_39:4_[M+H]1+ / PG_39:6_[M+NH4]1+ +826.5804 PI-O_33:1_[M+NH4]1+ +826.5932 PS-O_38:1_[M+Na]1+ +826.5956 PS-O_40:4_[M+H]1+ / PG-O_40:6_[M+NH4]1+ +826.632 PC_39:3_[M+H]1+ / PE_42:3_[M+H]1+ / PA_44:4_[M+NH4]1+ +826.6684 PC-O_40:3_[M+H]1+ +826.6919 TG_49:6_[M+NH4]1+ +827.4681 PI_32:3_[M+Na]1+ +827.4705 PI_34:6_[M+H]1+ +827.4834 PG_39:8_[M+Na]1+ +827.5045 PI-P_33:2_[M+Na]1+ +827.5561 PA_44:6_[M+Na]1+ +827.5773 PG_38:1_[M+Na]1+ +827.5797 PG_40:4_[M+H]1+ +827.6136 PG-O_39:1_[M+Na]1+ +827.616 TG_49:8_[M+Na]1+ +827.7001 SM_43_2_[M+H]1+ +827.7099 TG_48:1_[M+Na]1+ +828.4786 PS_38:7_[M+Na]1+ +828.481 PS_40:10_[M+H]1+ +828.5538 PC_40:9_[M+H]1+ +828.5597 PI_32:0_[M+NH4]1+ +828.5725 PS_37:0_[M+Na]1+ +828.5749 PS_39:3_[M+H]1+ / PG_39:5_[M+NH4]1+ +828.596 PI-O_33:0_[M+NH4]1+ +828.6089 PS-O_38:0_[M+Na]1+ +828.6113 PS-O_40:3_[M+H]1+ / PG-O_40:5_[M+NH4]1+ +828.6477 PC_39:2_[M+H]1+ / PE_42:2_[M+H]1+ / PA_44:3_[M+NH4]1+ +828.6841 PC-O_40:2_[M+H]1+ +828.7076 TG_49:5_[M+NH4]1+ +829.4838 PI_32:2_[M+Na]1+ +829.4862 PI_34:5_[M+H]1+ +829.499 PG_39:7_[M+Na]1+ +829.5201 PI-O_33:2_[M+Na]1+ +829.5354 PG-P_40:6_[M+Na]1+ +829.5718 PA_44:5_[M+Na]1+ +829.5929 PG_38:0_[M+Na]1+ +829.5953 PG_40:3_[M+H]1+ +829.6293 PG-O_39:0_[M+Na]1+ +829.6317 TG_49:7_[M+Na]1+ +829.7157 SM_43_1_[M+H]1+ +829.7256 TG_48:0_[M+Na]1+ +830.4943 PS_38:6_[M+Na]1+ +830.4967 PS_40:9_[M+H]1+ +830.5694 PC_40:8_[M+H]1+ +830.5906 PS_39:2_[M+H]1+ / PG_39:4_[M+NH4]1+ +830.6269 PS-O_40:2_[M+H]1+ / PG-O_40:4_[M+NH4]1+ +830.6633 PC_39:1_[M+H]1+ / PE_42:1_[M+H]1+ / PA_44:2_[M+NH4]1+ +830.6997 PC-O_40:1_[M+H]1+ +830.7232 TG_49:4_[M+NH4]1+ +831.4994 PI_32:1_[M+Na]1+ +831.5018 PI_34:4_[M+H]1+ +831.5147 PG_39:6_[M+Na]1+ +831.5358 PI-O_33:1_[M+Na]1+ +831.551 PG-O_40:6_[M+Na]1+ +831.5874 PA_44:4_[M+Na]1+ +831.611 PG_40:2_[M+H]1+ +831.6473 TG_49:6_[M+Na]1+ +832.4971 PI_33:5_[M+NH4]1+ +832.5099 PS_38:5_[M+Na]1+ +832.5123 PS_40:8_[M+H]1+ / PG_40:10_[M+NH4]1+ +832.5334 PI-P_34:4_[M+NH4]1+ +832.5851 PC_40:7_[M+H]1+ +832.6062 PS_39:1_[M+H]1+ / PG_39:3_[M+NH4]1+ +832.6426 PS-O_40:1_[M+H]1+ / PG-O_40:3_[M+NH4]1+ +832.679 PC_39:0_[M+H]1+ / PE_42:0_[M+H]1+ / PA_44:1_[M+NH4]1+ +832.7154 PC-O_40:0_[M+H]1+ +832.7389 TG_49:3_[M+NH4]1+ +833.5151 PI_32:0_[M+Na]1+ +833.5175 PI_34:3_[M+H]1+ +833.5303 PG_39:5_[M+Na]1+ +833.5514 PI-O_33:0_[M+Na]1+ +833.5538 PI-P_35:2_[M+H]1+ +833.5667 PG-O_40:5_[M+Na]1+ +833.6031 PA_44:3_[M+Na]1+ +833.6266 PG_40:1_[M+H]1+ +833.663 PG-P_41:0_[M+H]1+ / TG_49:5_[M+Na]1+ +834.5127 PI_33:4_[M+NH4]1+ +834.5256 PS_38:4_[M+Na]1+ +834.528 PS_40:7_[M+H]1+ / PG_40:9_[M+NH4]1+ +834.5491 PI-O_34:4_[M+NH4]1+ +834.6007 PC_40:6_[M+H]1+ / PE_43:6_[M+H]1+ +834.6219 PS_39:0_[M+H]1+ / PG_39:2_[M+NH4]1+ +834.6582 PS-O_40:0_[M+H]1+ / PG-O_40:2_[M+NH4]1+ +834.6606 TG_50:9_[M+NH4]1+ +834.6946 PA_44:0_[M+NH4]1+ +834.7545 TG_49:2_[M+NH4]1+ +835.5331 PI_34:2_[M+H]1+ +835.546 PG_39:4_[M+Na]1+ +835.5484 PG_41:7_[M+H]1+ +835.5695 PI-O_35:2_[M+H]1+ +835.5823 PG-O_40:4_[M+Na]1+ +835.5847 PG-P_42:6_[M+H]1+ +835.6187 PA_44:2_[M+Na]1+ +835.6423 PG_40:0_[M+H]1+ +835.6786 PG-O_41:0_[M+H]1+ / TG_49:4_[M+Na]1+ +836.5225 PE_44:12_[M+H]1+ +836.5284 PI_33:3_[M+NH4]1+ +836.5412 PS_38:3_[M+Na]1+ +836.5436 PS_40:6_[M+H]1+ / PG_40:8_[M+NH4]1+ +836.5647 PI-O_34:3_[M+NH4]1+ +836.6164 PC_40:5_[M+H]1+ +836.6375 PG_39:1_[M+NH4]1+ +836.6739 PG-O_40:1_[M+NH4]1+ +836.6763 TG_50:8_[M+NH4]1+ +836.7702 TG_49:1_[M+NH4]1+ +837.4525 PI_33:5_[M+Na]1+ +837.4677 PG_40:10_[M+Na]1+ +837.4888 PI-P_34:4_[M+Na]1+ +837.5488 PI_34:1_[M+H]1+ +837.5616 PG_39:3_[M+Na]1+ +837.564 PG_41:6_[M+H]1+ +837.5851 PI-O_35:1_[M+H]1+ +837.598 PG-O_40:3_[M+Na]1+ +837.6004 PG-O_42:6_[M+H]1+ +837.6344 PA_44:1_[M+Na]1+ +837.6943 TG_49:3_[M+Na]1+ +838.544 PI_33:2_[M+NH4]1+ +838.5569 PS_38:2_[M+Na]1+ +838.5593 PS_40:5_[M+H]1+ / PG_40:7_[M+NH4]1+ +838.5804 PI-O_34:2_[M+NH4]1+ +838.5932 PS-P_39:1_[M+Na]1+ +838.632 PC_40:4_[M+H]1+ / PE_43:4_[M+H]1+ +838.6532 PG_39:0_[M+NH4]1+ +838.6895 PG-O_40:0_[M+NH4]1+ +838.6919 TG_50:7_[M+NH4]1+ +838.7858 TG_49:0_[M+NH4]1+ +839.4681 PI_33:4_[M+Na]1+ +839.4834 PG_40:9_[M+Na]1+ +839.5045 PI-O_34:4_[M+Na]1+ +839.5644 PI_34:0_[M+H]1+ +839.5773 PG_39:2_[M+Na]1+ +839.5797 PG_41:5_[M+H]1+ +839.6008 PI-O_35:0_[M+H]1+ +839.6136 PG-O_40:2_[M+Na]1+ +839.616 PG-P_42:4_[M+H]1+ / TG_50:9_[M+Na]1+ +839.65 PA_44:0_[M+Na]1+ +839.7099 TG_49:2_[M+Na]1+ +840.4786 PS_39:8_[M+Na]1+ +840.5538 PE_44:10_[M+H]1+ +840.5597 PI_33:1_[M+NH4]1+ +840.5725 PS_38:1_[M+Na]1+ +840.5749 PS_40:4_[M+H]1+ / PG_40:6_[M+NH4]1+ +840.596 PI-O_34:1_[M+NH4]1+ +840.6089 PS-O_39:1_[M+Na]1+ +840.6477 PC_40:3_[M+H]1+ +840.7076 TG_50:6_[M+NH4]1+ +841.4838 PI_33:3_[M+Na]1+ +841.4862 PI_35:6_[M+H]1+ +841.499 PG_40:8_[M+Na]1+ +841.5014 PG_42:11_[M+H]1+ +841.5201 PI-O_34:3_[M+Na]1+ +841.5225 PI-P_36:5_[M+H]1+ +841.5929 PG_39:1_[M+Na]1+ +841.5953 PG_41:4_[M+H]1+ +841.6293 PG-O_40:1_[M+Na]1+ +841.6317 PG-O_42:4_[M+H]1+ / TG_50:8_[M+Na]1+ +841.7157 SM_44:2_[M+H]1+ +841.7256 TG_49:1_[M+Na]1+ +842.4943 PS_39:7_[M+Na]1+ +842.5306 PS-P_40:6_[M+Na]1+ +842.5753 PI_33:0_[M+NH4]1+ +842.5882 PS_38:0_[M+Na]1+ +842.5906 PS_40:3_[M+H]1+ / PG_40:5_[M+NH4]1+ +842.6117 PI-O_34:0_[M+NH4]1+ +842.6245 PS-O_39:0_[M+Na]1+ +842.6633 PC_40:2_[M+H]1+ / PE_43:2_[M+H]1+ +842.7232 TG_50:5_[M+NH4]1+ +843.4994 PI_33:2_[M+Na]1+ +843.5018 PI_35:5_[M+H]1+ +843.5147 PG_40:7_[M+Na]1+ +843.5171 PG_42:10_[M+H]1+ +843.5358 PI-O_34:2_[M+Na]1+ +843.5382 PI-O_36:5_[M+H]1+ +843.6086 PG_39:0_[M+Na]1+ +843.611 PG_41:3_[M+H]1+ +843.6449 PG-O_40:0_[M+Na]1+ +843.6473 PG-P_42:2_[M+H]1+ / TG_50:7_[M+Na]1+ +843.7314 SM_44:1_[M+H]1+ +843.7412 TG_49:0_[M+Na]1+ +844.4971 PI_34:6_[M+NH4]1+ +844.5099 PS_39:6_[M+Na]1+ +844.5463 PS-O_40:6_[M+Na]1+ +844.5851 PE_44:8_[M+H]1+ +844.6062 PS_40:2_[M+H]1+ / PG_40:4_[M+NH4]1+ +844.679 PC_40:1_[M+H]1+ / PE_43:1_[M+H]1+ +844.7154 PC-P_41:0_[M+H]1+ +844.7389 TG_50:4_[M+NH4]1+ +845.5151 PI_33:1_[M+Na]1+ +845.5175 PI_35:4_[M+H]1+ +845.5303 PG_40:6_[M+Na]1+ +845.5327 PG_42:9_[M+H]1+ +845.5514 PI-O_34:1_[M+Na]1+ +845.5538 PI-O_36:4_[M+H]1+ +845.6266 PG_41:2_[M+H]1+ +845.663 PG-O_42:2_[M+H]1+ / TG_50:6_[M+Na]1+ +845.747 SM_44:0_[M+H]1+ +846.5127 PI_34:5_[M+NH4]1+ +846.5256 PS_39:5_[M+Na]1+ +846.5619 PS-O_40:5_[M+Na]1+ +846.6007 PC_41:7_[M+H]1+ / PE_44:7_[M+H]1+ +846.6219 PS_40:1_[M+H]1+ / PG_40:3_[M+NH4]1+ +846.6371 PC-P_42:6_[M+H]1+ +846.6582 PS-P_41:0_[M+H]1+ +846.6946 PC_40:0_[M+H]1+ / PE_43:0_[M+H]1+ +846.731 PC-O_41:0_[M+H]1+ +846.7545 TG_50:3_[M+NH4]1+ +847.5307 PI_33:0_[M+Na]1+ +847.5331 PI_35:3_[M+H]1+ +847.546 PG_40:5_[M+Na]1+ +847.5484 PG_42:8_[M+H]1+ +847.5671 PI-O_34:0_[M+Na]1+ +847.5695 PI-O_36:3_[M+H]1+ +847.6423 PG_41:1_[M+H]1+ +847.6786 PG-O_42:1_[M+H]1+ / TG_50:5_[M+Na]1+ +848.5284 PI_34:4_[M+NH4]1+ +848.5412 PS_39:4_[M+Na]1+ +848.5436 PS_41:7_[M+H]1+ +848.5776 PS-O_40:4_[M+Na]1+ +848.58 PS-P_42:2_[M+H]1+ +848.6164 PC_41:6_[M+H]1+ / PE_44:6_[M+H]1+ +848.6375 PS_40:0_[M+H]1+ / PG_40:2_[M+NH4]1+ +848.6528 PC-O_42:6_[M+H]1+ +848.6739 PS-O_41:0_[M+H]1+ +848.6763 TG_51:9_[M+NH4]1+ +848.7702 TG_50:2_[M+NH4]1+ +849.4525 PI_34:6_[M+Na]1+ +849.5488 PI_35:2_[M+H]1+ +849.5616 PG_40:4_[M+Na]1+ +849.564 PG_42:7_[M+H]1+ +849.5851 PI-O_36:2_[M+H]1+ +849.6579 PG_41:0_[M+H]1+ +849.6943 PG-O_42:0_[M+H]1+ / TG_50:4_[M+Na]1+ +850.463 PS_40:10_[M+Na]1+ +850.544 PI_34:3_[M+NH4]1+ +850.5569 PS_39:3_[M+Na]1+ +850.5593 PS_41:6_[M+H]1+ +850.5804 PI-P_35:2_[M+NH4]1+ +850.5932 PS-O_40:3_[M+Na]1+ +850.5956 PS-O_42:6_[M+H]1+ +850.632 PC_41:5_[M+H]1+ / PE_44:5_[M+H]1+ +850.6532 PG_40:1_[M+NH4]1+ +850.6684 PC-P_42:4_[M+H]1+ +850.6895 PG-P_41:0_[M+NH4]1+ +850.6919 TG_51:8_[M+NH4]1+ +850.7858 TG_50:1_[M+NH4]1+ +851.4681 PI_34:5_[M+Na]1+ +851.4705 PI_36:8_[M+H]1+ +851.5644 PI_35:1_[M+H]1+ +851.5773 PG_40:3_[M+Na]1+ +851.5797 PG_42:6_[M+H]1+ +851.6008 PI-O_36:1_[M+H]1+ +851.7099 TG_50:3_[M+Na]1+ +852.4786 PS_40:9_[M+Na]1+ +852.5538 PC_42:11_[M+H]1+ +852.5597 PI_34:2_[M+NH4]1+ +852.5725 PS_39:2_[M+Na]1+ +852.5749 PS_41:5_[M+H]1+ / PG_41:7_[M+NH4]1+ +852.596 PI-O_35:2_[M+NH4]1+ +852.6089 PS-O_40:2_[M+Na]1+ +852.6113 PS-P_42:1_[M+H]1+ / PG-P_42:6_[M+NH4]1+ +852.6477 PC_41:4_[M+H]1+ / PE_44:4_[M+H]1+ +852.6688 PG_40:0_[M+NH4]1+ +852.6841 PC-O_42:4_[M+H]1+ +852.7052 PG-O_41:0_[M+NH4]1+ +852.7076 TG_51:7_[M+NH4]1+ +852.8015 TG_50:0_[M+NH4]1+ +853.4838 PI_34:4_[M+Na]1+ +853.4862 PI_36:7_[M+H]1+ +853.5801 PI_35:0_[M+H]1+ +853.5929 PG_40:2_[M+Na]1+ +853.5953 PG_42:5_[M+H]1+ +853.6164 PI-O_36:0_[M+H]1+ +853.6317 TG_51:9_[M+Na]1+ +853.7256 TG_50:2_[M+Na]1+ +854.4943 PS_40:8_[M+Na]1+ +854.4967 PS_42:11_[M+H]1+ +854.5694 PC_42:10_[M+H]1+ +854.5753 PI_34:1_[M+NH4]1+ +854.5882 PS_39:1_[M+Na]1+ +854.5906 PS_41:4_[M+H]1+ / PG_41:6_[M+NH4]1+ +854.6117 PI-O_35:1_[M+NH4]1+ +854.6245 PS-O_40:1_[M+Na]1+ +854.6269 PS-O_42:4_[M+H]1+ / PG-O_42:6_[M+NH4]1+ +854.6633 PC_41:3_[M+H]1+ / PE_44:3_[M+H]1+ +854.6997 PC-O_42:3_[M+H]1+ +854.7232 TG_51:6_[M+NH4]1+ +855.4994 PI_34:3_[M+Na]1+ +855.5018 PI_36:6_[M+H]1+ +855.5358 PI-P_35:2_[M+Na]1+ +855.6086 PG_40:1_[M+Na]1+ +855.611 PG_42:4_[M+H]1+ +855.6449 PG-P_41:0_[M+Na]1+ +855.6473 TG_51:8_[M+Na]1+ +855.7412 TG_50:1_[M+Na]1+ +856.5099 PS_40:7_[M+Na]1+ +856.5123 PS_42:10_[M+H]1+ +856.5851 PC_42:9_[M+H]1+ +856.591 PI_34:0_[M+NH4]1+ +856.6038 PS_39:0_[M+Na]1+ +856.6062 PS_41:3_[M+H]1+ / PG_41:5_[M+NH4]1+ +856.6273 PI-O_35:0_[M+NH4]1+ +856.6402 PS-O_40:0_[M+Na]1+ +856.6426 PS-P_42:0_[M+H]1+ / PG-P_42:4_[M+NH4]1+ +856.679 PC_41:2_[M+H]1+ / PE_44:2_[M+H]1+ +856.7154 PC-O_42:2_[M+H]1+ +856.7389 TG_51:5_[M+NH4]1+ +857.5151 PI_34:2_[M+Na]1+ +857.5175 PI_36:5_[M+H]1+ +857.5303 PG_41:7_[M+Na]1+ +857.5514 PI-O_35:2_[M+Na]1+ +857.5667 PG-P_42:6_[M+Na]1+ +857.6242 PG_40:0_[M+Na]1+ +857.6266 PG_42:3_[M+H]1+ +857.6606 PG-O_41:0_[M+Na]1+ +857.663 TG_51:7_[M+Na]1+ +857.7569 TG_50:0_[M+Na]1+ +858.5127 PI_35:6_[M+NH4]1+ +858.5256 PS_40:6_[M+Na]1+ +858.528 PS_42:9_[M+H]1+ / PG_42:11_[M+NH4]1+ +858.5491 PI-P_36:5_[M+NH4]1+ +858.6007 PC_42:8_[M+H]1+ +858.6219 PS_41:2_[M+H]1+ / PG_41:4_[M+NH4]1+ +858.6582 PS-O_42:2_[M+H]1+ / PG-O_42:4_[M+NH4]1+ +858.6946 PC_41:1_[M+H]1+ / PE_44:1_[M+H]1+ +858.731 PC-O_42:1_[M+H]1+ +858.7545 TG_51:4_[M+NH4]1+ +859.5307 PI_34:1_[M+Na]1+ +859.5331 PI_36:4_[M+H]1+ +859.546 PG_41:6_[M+Na]1+ +859.5671 PI-O_35:1_[M+Na]1+ +859.5823 PG-O_42:6_[M+Na]1+ +859.6423 PG_42:2_[M+H]1+ +859.6786 TG_51:6_[M+Na]1+ +860.5284 PI_35:5_[M+NH4]1+ +860.5412 PS_40:5_[M+Na]1+ +860.5436 PS_42:8_[M+H]1+ / PG_42:10_[M+NH4]1+ +860.5647 PI-O_36:5_[M+NH4]1+ +860.6164 PC_42:7_[M+H]1+ +860.6375 PS_41:1_[M+H]1+ / PG_41:3_[M+NH4]1+ +860.6739 PS-O_42:1_[M+H]1+ / PG-P_42:2_[M+NH4]1+ +860.6763 TG_52:10_[M+NH4]1+ +860.7103 PC_41:0_[M+H]1+ / PE_44:0_[M+H]1+ +860.7467 PC-O_42:0_[M+H]1+ +860.7702 TG_51:3_[M+NH4]1+ +861.5464 PI_34:0_[M+Na]1+ +861.5488 PI_36:3_[M+H]1+ +861.5616 PG_41:5_[M+Na]1+ +861.5827 PI-O_35:0_[M+Na]1+ +861.5851 PI-P_37:2_[M+H]1+ +861.598 PG-P_42:4_[M+Na]1+ +861.6579 PG_42:1_[M+H]1+ +861.6943 TG_51:5_[M+Na]1+ +862.544 PI_35:4_[M+NH4]1+ +862.5569 PS_40:4_[M+Na]1+ +862.5593 PS_42:7_[M+H]1+ / PG_42:9_[M+NH4]1+ +862.5804 PI-O_36:4_[M+NH4]1+ +862.632 PC_42:6_[M+H]1+ +862.6532 PS_41:0_[M+H]1+ / PG_41:2_[M+NH4]1+ +862.6895 PS-O_42:0_[M+H]1+ / PG-O_42:2_[M+NH4]1+ +862.6919 TG_52:9_[M+NH4]1+ +862.7858 TG_51:2_[M+NH4]1+ +863.4681 PI_35:6_[M+Na]1+ +863.4834 PG_42:11_[M+Na]1+ +863.5045 PI-P_36:5_[M+Na]1+ +863.5644 PI_36:2_[M+H]1+ +863.5773 PG_41:4_[M+Na]1+ +863.6008 PI-O_37:2_[M+H]1+ +863.6136 PG-O_42:4_[M+Na]1+ +863.6736 PG_42:0_[M+H]1+ +863.7099 TG_51:4_[M+Na]1+ +864.5597 PI_35:3_[M+NH4]1+ +864.5725 PS_40:3_[M+Na]1+ +864.5749 PS_42:6_[M+H]1+ / PG_42:8_[M+NH4]1+ +864.596 PI-O_36:3_[M+NH4]1+ +864.6477 PC_42:5_[M+H]1+ +864.6688 PG_41:1_[M+NH4]1+ +864.7052 PG-O_42:1_[M+NH4]1+ +864.7076 TG_52:8_[M+NH4]1+ +864.8015 TG_51:1_[M+NH4]1+ +865.4838 PI_35:5_[M+Na]1+ +865.499 PG_42:10_[M+Na]1+ +865.5201 PI-O_36:5_[M+Na]1+ +865.5801 PI_36:1_[M+H]1+ +865.5929 PG_41:3_[M+Na]1+ +865.5953 PG_43:6_[M+H]1+ +865.6164 PI-O_37:1_[M+H]1+ +865.6293 PG-P_42:2_[M+Na]1+ +865.6317 TG_52:10_[M+Na]1+ +865.7256 TG_51:3_[M+Na]1+ +866.5753 PI_35:2_[M+NH4]1+ +866.5882 PS_40:2_[M+Na]1+ +866.5906 PS_42:5_[M+H]1+ / PG_42:7_[M+NH4]1+ +866.6117 PI-O_36:2_[M+NH4]1+ +866.6633 PC_42:4_[M+H]1+ +866.6845 PG_41:0_[M+NH4]1+ +866.7208 PG-O_42:0_[M+NH4]1+ +866.7232 TG_52:7_[M+NH4]1+ +866.731 2H-IS_PI_[M+H]1+ +866.8171 TG_51:0_[M+NH4]1+ +867.2499 2H-IS_TG45_[M+NH4]1+ +867.4994 PI_35:4_[M+Na]1+ +867.5018 PI_37:7_[M+H]1+ +867.5147 PG_42:9_[M+Na]1+ +867.5171 PG_44:12_[M+H]1+ +867.5358 PI-O_36:4_[M+Na]1+ +867.5382 PI-P_38:6_[M+H]1+ +867.5957 PI_36:0_[M+H]1+ +867.6086 PG_41:2_[M+Na]1+ +867.6321 PI-O_37:0_[M+H]1+ +867.6449 PG-O_42:2_[M+Na]1+ +867.6473 TG_52:9_[M+Na]1+ +867.7369 2H-IS_PI_[M+H]1+ +867.7412 TG_51:2_[M+Na]1+ +868.2556 2H-IS_TG45_[M+NH4]1+ +868.4971 PI_36:8_[M+NH4]1+ +868.591 PI_35:1_[M+NH4]1+ +868.6038 PS_40:1_[M+Na]1+ +868.6062 PS_42:4_[M+H]1+ / PG_42:6_[M+NH4]1+ +868.6273 PI-O_36:1_[M+NH4]1+ +868.6402 PS-P_41:0_[M+Na]1+ +868.679 PC_42:3_[M+H]1+ +868.7389 TG_52:6_[M+NH4]1+ +868.7426 2H-IS_PI_[M+H]1+ +869.2616 2H-IS_TG45_[M+NH4]1+ +869.5151 PI_35:3_[M+Na]1+ +869.5175 PI_37:6_[M+H]1+ +869.5303 PG_42:8_[M+Na]1+ +869.5514 PI-O_36:3_[M+Na]1+ +869.5538 PI-O_38:6_[M+H]1+ +869.6242 PG_41:1_[M+Na]1+ +869.6266 PG_43:4_[M+H]1+ +869.6606 PG-O_42:1_[M+Na]1+ +869.663 TG_52:8_[M+Na]1+ +869.7466 2H-IS_PI_[M+H]1+ +869.7569 TG_51:1_[M+Na]1+ +870.2672 2H-IS_TG45_[M+NH4]1+ +870.5127 PI_36:7_[M+NH4]1+ +870.5256 PS_41:7_[M+Na]1+ +870.5619 PS-P_42:2_[M+Na]1+ +870.6066 PI_35:0_[M+NH4]1+ +870.6195 PS_40:0_[M+Na]1+ +870.6219 PS_42:3_[M+H]1+ / PG_42:5_[M+NH4]1+ +870.643 PI-O_36:0_[M+NH4]1+ +870.6558 PS-O_41:0_[M+Na]1+ +870.6946 PC_42:2_[M+H]1+ +870.7545 TG_52:5_[M+NH4]1+ +871.2707 2H-IS_TG45_[M+NH4]1+ +871.5307 PI_35:2_[M+Na]1+ +871.5331 PI_37:5_[M+H]1+ +871.546 PG_42:7_[M+Na]1+ +871.5484 PG_44:10_[M+H]1+ +871.5671 PI-O_36:2_[M+Na]1+ +871.5695 PI-O_38:5_[M+H]1+ +871.6399 PG_41:0_[M+Na]1+ +871.6762 PG-O_42:0_[M+Na]1+ +871.6786 TG_52:7_[M+Na]1+ +871.7725 TG_51:0_[M+Na]1+ +872.2745 2H-IS_TG45_[M+NH4]1+ +872.5284 PI_36:6_[M+NH4]1+ +872.5412 PS_41:6_[M+Na]1+ +872.5776 PS-O_42:6_[M+Na]1+ +872.6375 PS_42:2_[M+H]1+ / PG_42:4_[M+NH4]1+ +872.7103 PC_42:1_[M+H]1+ +872.7702 TG_52:4_[M+NH4]1+ +873.2777 2H-IS_TG45_[M+NH4]1+ +873.4525 PI_36:8_[M+Na]1+ +873.5464 PI_35:1_[M+Na]1+ +873.5488 PI_37:4_[M+H]1+ +873.5616 PG_42:6_[M+Na]1+ +873.5827 PI-O_36:1_[M+Na]1+ +873.5851 PI-O_38:4_[M+H]1+ +873.6579 PG_43:2_[M+H]1+ +873.6943 TG_52:6_[M+Na]1+ +874.544 PI_36:5_[M+NH4]1+ +874.5569 PS_41:5_[M+Na]1+ +874.5932 PS-P_42:1_[M+Na]1+ +874.6532 PS_42:1_[M+H]1+ / PG_42:3_[M+NH4]1+ +874.6919 TG_53:10_[M+NH4]1+ +874.7259 PC_42:0_[M+H]1+ +874.7858 TG_52:3_[M+NH4]1+ +875.4681 PI_36:7_[M+Na]1+ +875.562 PI_35:0_[M+Na]1+ +875.5644 PI_37:3_[M+H]1+ +875.5773 PG_42:5_[M+Na]1+ +875.5797 PG_44:8_[M+H]1+ +875.5984 PI-O_36:0_[M+Na]1+ +875.6008 PI-O_38:3_[M+H]1+ +875.6736 PG_43:1_[M+H]1+ +875.7099 TG_52:5_[M+Na]1+ +876.4786 PS_42:11_[M+Na]1+ +876.5597 PI_36:4_[M+NH4]1+ +876.5725 PS_41:4_[M+Na]1+ +876.6089 PS-O_42:4_[M+Na]1+ +876.6477 PC_43:6_[M+H]1+ +876.6688 PS_42:0_[M+H]1+ / PG_42:2_[M+NH4]1+ +876.7076 TG_53:9_[M+NH4]1+ +876.8015 TG_52:2_[M+NH4]1+ +877.4838 PI_36:6_[M+Na]1+ +877.4862 PI_38:9_[M+H]1+ +877.5801 PI_37:2_[M+H]1+ +877.5929 PG_42:4_[M+Na]1+ +877.5953 PG_44:7_[M+H]1+ +877.6164 PI-O_38:2_[M+H]1+ +877.6892 PG_43:0_[M+H]1+ +877.7256 TG_52:4_[M+Na]1+ +878.4943 PS_42:10_[M+Na]1+ +878.5694 PC_44:12_[M+H]1+ +878.5753 PI_36:3_[M+NH4]1+ +878.5882 PS_41:3_[M+Na]1+ +878.5906 PS_43:6_[M+H]1+ +878.6117 PI-P_37:2_[M+NH4]1+ +878.6245 PS-P_42:0_[M+Na]1+ +878.6845 PG_42:1_[M+NH4]1+ +878.6997 PC-O_44:5_[M+H]1+ +878.7232 TG_53:8_[M+NH4]1+ +878.8171 TG_52:1_[M+NH4]1+ +879.4994 PI_36:5_[M+Na]1+ +879.5018 PI_38:8_[M+H]1+ +879.5957 PI_37:1_[M+H]1+ +879.6086 PG_42:3_[M+Na]1+ +879.611 PG_44:6_[M+H]1+ +879.6321 PI-O_38:1_[M+H]1+ +879.6473 TG_53:10_[M+Na]1+ +879.7412 TG_52:3_[M+Na]1+ +880.5099 PS_42:9_[M+Na]1+ +880.591 PI_36:2_[M+NH4]1+ +880.6038 PS_41:2_[M+Na]1+ +880.6273 PI-O_37:2_[M+NH4]1+ +880.6402 PS-O_42:2_[M+Na]1+ +880.679 PC_43:4_[M+H]1+ +880.7001 PG_42:0_[M+NH4]1+ +880.7154 PC-O_44:4_[M+H]1+ +880.7389 TG_53:7_[M+NH4]1+ +880.8328 TG_52:0_[M+NH4]1+ +881.5151 PI_36:4_[M+Na]1+ +881.5175 PI_38:7_[M+H]1+ +881.6114 PI_37:0_[M+H]1+ +881.6242 PG_42:2_[M+Na]1+ +881.6266 PG_44:5_[M+H]1+ +881.6477 PI-O_38:0_[M+H]1+ +881.663 TG_53:9_[M+Na]1+ +881.7569 TG_52:2_[M+Na]1+ +882.5256 PS_42:8_[M+Na]1+ +882.6007 PC_44:10_[M+H]1+ +882.6066 PI_36:1_[M+NH4]1+ +882.6195 PS_41:1_[M+Na]1+ +882.6219 PS_43:4_[M+H]1+ / PG_43:6_[M+NH4]1+ +882.643 PI-O_37:1_[M+NH4]1+ +882.6558 PS-O_42:1_[M+Na]1+ +882.731 PC-O_44:3_[M+H]1+ +882.7514 2H-IS_PI_[M+NH4]1+ +882.7545 TG_53:6_[M+NH4]1+ +883.5307 PI_36:3_[M+Na]1+ +883.5331 PI_38:6_[M+H]1+ +883.5671 PI-P_37:2_[M+Na]1+ +883.6399 PG_42:1_[M+Na]1+ +883.6423 PG_44:4_[M+H]1+ +883.6786 TG_53:8_[M+Na]1+ +883.7574 2H-IS_PI_[M+NH4]1+ +883.7725 TG_52:1_[M+Na]1+ +884.5284 PI_37:7_[M+NH4]1+ +884.5412 PS_42:7_[M+Na]1+ +884.5436 PS_44:10_[M+H]1+ / PG_44:12_[M+NH4]1+ +884.5647 PI-P_38:6_[M+NH4]1+ +884.6223 PI_36:0_[M+NH4]1+ +884.6351 PS_41:0_[M+Na]1+ +884.6586 PI-O_37:0_[M+NH4]1+ +884.6715 PS-O_42:0_[M+Na]1+ +884.6763 TG_54:12_[M+NH4]1+ +884.7103 PC_43:2_[M+H]1+ +884.763 2H-IS_PI_[M+NH4]1+ +884.7702 TG_53:5_[M+NH4]1+ +885.5464 PI_36:2_[M+Na]1+ +885.5488 PI_38:5_[M+H]1+ +885.5827 PI-O_37:2_[M+Na]1+ +885.6555 PG_42:0_[M+Na]1+ +885.6579 PG_44:3_[M+H]1+ +885.6943 TG_53:7_[M+Na]1+ +885.7682 2H-IS_PI_[M+NH4]1+ +885.7882 TG_52:0_[M+Na]1+ +886.544 PI_37:6_[M+NH4]1+ +886.5569 PS_42:6_[M+Na]1+ +886.5804 PI-O_38:6_[M+NH4]1+ +886.632 PC_44:8_[M+H]1+ +886.6532 PS_43:2_[M+H]1+ / PG_43:4_[M+NH4]1+ +886.6919 TG_54:11_[M+NH4]1+ +886.7259 PC_43:1_[M+H]1+ / PE_46:1_[M+H]1+ +886.7728 2H-IS_PI_[M+NH4]1+ +886.7858 TG_53:4_[M+NH4]1+ +887.562 PI_36:1_[M+Na]1+ +887.5644 PI_38:4_[M+H]1+ +887.5773 PG_43:6_[M+Na]1+ +887.5984 PI-O_37:1_[M+Na]1+ +887.6736 PG_44:2_[M+H]1+ +887.7065 2H-IS_PI_[M+Na]1+ +887.7099 TG_53:6_[M+Na]1+ +887.7761 2H-IS_PI_[M+NH4]1+ +888.5597 PI_37:5_[M+NH4]1+ +888.5725 PS_42:5_[M+Na]1+ +888.5749 PS_44:8_[M+H]1+ / PG_44:10_[M+NH4]1+ +888.596 PI-O_38:5_[M+NH4]1+ +888.6477 PC_44:7_[M+H]1+ +888.6688 PS_43:1_[M+H]1+ +888.7076 TG_54:10_[M+NH4]1+ +888.7127 2H-IS_PI_[M+Na]1+ +888.7416 PC_43:0_[M+H]1+ +888.8015 TG_53:3_[M+NH4]1+ +889.4838 PI_37:7_[M+Na]1+ +889.499 PG_44:12_[M+Na]1+ +889.5201 PI-P_38:6_[M+Na]1+ +889.5777 PI_36:0_[M+Na]1+ +889.5801 PI_38:3_[M+H]1+ +889.614 PI-O_37:0_[M+Na]1+ +889.6317 TG_54:12_[M+Na]1+ +889.6892 PG_44:1_[M+H]1+ +889.7186 2H-IS_PI_[M+Na]1+ +889.7256 TG_53:5_[M+Na]1+ +890.5753 PI_37:4_[M+NH4]1+ +890.5882 PS_42:4_[M+Na]1+ +890.5906 PS_44:7_[M+H]1+ +890.6117 PI-O_38:4_[M+NH4]1+ +890.6633 PC_44:6_[M+H]1+ +890.6845 PS_43:0_[M+H]1+ / PG_43:2_[M+NH4]1+ +890.7232 TG_54:9_[M+NH4]1+ +890.7242 2H-IS_PI_[M+Na]1+ +890.8171 TG_53:2_[M+NH4]1+ +891.4994 PI_37:6_[M+Na]1+ +891.5358 PI-O_38:6_[M+Na]1+ +891.5957 PI_38:2_[M+H]1+ +891.6086 PG_43:4_[M+Na]1+ +891.6321 PI-P_39:1_[M+H]1+ +891.6473 TG_54:11_[M+Na]1+ +891.7049 PG_44:0_[M+H]1+ +891.7282 2H-IS_PI_[M+Na]1+ +891.7412 TG_53:4_[M+Na]1+ +892.591 PI_37:3_[M+NH4]1+ +892.6038 PS_42:3_[M+Na]1+ +892.6062 PS_44:6_[M+H]1+ / PG_44:8_[M+NH4]1+ +892.6273 PI-O_38:3_[M+NH4]1+ +892.679 PC_44:5_[M+H]1+ +892.7001 PG_43:1_[M+NH4]1+ +892.7315 2H-IS_PI_[M+Na]1+ +892.7389 TG_54:8_[M+NH4]1+ +892.8328 TG_53:1_[M+NH4]1+ +893.5151 PI_37:5_[M+Na]1+ +893.5175 PI_39:8_[M+H]1+ +893.5303 PG_44:10_[M+Na]1+ +893.5514 PI-O_38:5_[M+Na]1+ +893.6114 PI_38:1_[M+H]1+ +893.6477 PI-O_39:1_[M+H]1+ +893.663 TG_54:10_[M+Na]1+ +893.7569 TG_53:3_[M+Na]1+ +894.5127 PI_38:9_[M+NH4]1+ +894.6066 PI_37:2_[M+NH4]1+ +894.6195 PS_42:2_[M+Na]1+ +894.6219 PS_44:5_[M+H]1+ / PG_44:7_[M+NH4]1+ +894.643 PI-O_38:2_[M+NH4]1+ +894.6946 PC_44:4_[M+H]1+ +894.7158 PG_43:0_[M+NH4]1+ +894.7545 TG_54:7_[M+NH4]1+ +894.8484 TG_53:0_[M+NH4]1+ +895.5307 PI_37:4_[M+Na]1+ +895.5331 PI_39:7_[M+H]1+ +895.5671 PI-O_38:4_[M+Na]1+ +895.5695 PI-P_40:6_[M+H]1+ +895.627 PI_38:0_[M+H]1+ +895.6399 PG_43:2_[M+Na]1+ +895.6634 PI-O_39:0_[M+H]1+ +895.6786 TG_54:9_[M+Na]1+ +895.7725 TG_53:2_[M+Na]1+ +896.5284 PI_38:8_[M+NH4]1+ +896.6223 PI_37:1_[M+NH4]1+ +896.6351 PS_42:1_[M+Na]1+ +896.6375 PS_44:4_[M+H]1+ / PG_44:6_[M+NH4]1+ +896.6586 PI-O_38:1_[M+NH4]1+ +896.7103 PC_44:3_[M+H]1+ +896.7702 TG_54:6_[M+NH4]1+ +897.5464 PI_37:3_[M+Na]1+ +897.5488 PI_39:6_[M+H]1+ +897.5616 PG_44:8_[M+Na]1+ +897.5827 PI-O_38:3_[M+Na]1+ +897.5851 PI-O_40:6_[M+H]1+ +897.6555 PG_43:1_[M+Na]1+ +897.6943 TG_54:8_[M+Na]1+ +897.7882 TG_53:1_[M+Na]1+ +898.544 PI_38:7_[M+NH4]1+ +898.6379 PI_37:0_[M+NH4]1+ +898.6508 PS_42:0_[M+Na]1+ +898.6532 PS_44:3_[M+H]1+ / PG_44:5_[M+NH4]1+ +898.6743 PI-O_38:0_[M+NH4]1+ +898.7259 PC_44:2_[M+H]1+ +898.7858 TG_54:5_[M+NH4]1+ +899.4681 PI_38:9_[M+Na]1+ +899.562 PI_37:2_[M+Na]1+ +899.5644 PI_39:5_[M+H]1+ +899.5773 PG_44:7_[M+Na]1+ +899.5984 PI-O_38:2_[M+Na]1+ +899.6008 PI-O_40:5_[M+H]1+ +899.6712 PG_43:0_[M+Na]1+ +899.7099 TG_54:7_[M+Na]1+ +899.8038 TG_53:0_[M+Na]1+ +900.5597 PI_38:6_[M+NH4]1+ +900.5725 PS_43:6_[M+Na]1+ +900.6688 PS_44:2_[M+H]1+ / PG_44:4_[M+NH4]1+ +900.7076 TG_55:11_[M+NH4]1+ +900.7416 PC_44:1_[M+H]1+ +900.8015 TG_54:4_[M+NH4]1+ +901.4838 PI_38:8_[M+Na]1+ +901.5777 PI_37:1_[M+Na]1+ +901.5801 PI_39:4_[M+H]1+ +901.5929 PG_44:6_[M+Na]1+ +901.614 PI-O_38:1_[M+Na]1+ +901.6164 PI-O_40:4_[M+H]1+ +901.7256 TG_54:6_[M+Na]1+ +902.5753 PI_38:5_[M+NH4]1+ +902.6845 PS_44:1_[M+H]1+ / PG_44:3_[M+NH4]1+ +902.7232 TG_55:10_[M+NH4]1+ +902.7572 PC_44:0_[M+H]1+ +902.8171 TG_54:3_[M+NH4]1+ +903.4994 PI_38:7_[M+Na]1+ +903.5018 PI_40:10_[M+H]1+ +903.5933 PI_37:0_[M+Na]1+ +903.5957 PI_39:3_[M+H]1+ +903.6086 PG_44:5_[M+Na]1+ +903.6297 PI-O_38:0_[M+Na]1+ +903.6321 PI-O_40:3_[M+H]1+ +903.7412 TG_54:5_[M+Na]1+ +904.591 PI_38:4_[M+NH4]1+ +904.6038 PS_43:4_[M+Na]1+ +904.7001 PS_44:0_[M+H]1+ / PG_44:2_[M+NH4]1+ +904.7389 TG_55:9_[M+NH4]1+ +904.8328 TG_54:2_[M+NH4]1+ +905.5151 PI_38:6_[M+Na]1+ +905.5175 PI_40:9_[M+H]1+ +905.6114 PI_39:2_[M+H]1+ +905.6242 PG_44:4_[M+Na]1+ +905.6477 PI-O_40:2_[M+H]1+ +905.663 TG_55:11_[M+Na]1+ +905.7569 TG_54:4_[M+Na]1+ +906.5256 PS_44:10_[M+Na]1+ +906.6066 PI_38:3_[M+NH4]1+ +906.7158 PG_44:1_[M+NH4]1+ +906.7545 TG_55:8_[M+NH4]1+ +906.8484 TG_54:1_[M+NH4]1+ +907.5307 PI_38:5_[M+Na]1+ +907.5331 PI_40:8_[M+H]1+ +907.627 PI_39:1_[M+H]1+ +907.6399 PG_44:3_[M+Na]1+ +907.6634 PI-O_40:1_[M+H]1+ +907.6786 TG_55:10_[M+Na]1+ +907.7725 TG_54:3_[M+Na]1+ +908.6223 PI_38:2_[M+NH4]1+ +908.6351 PS_43:2_[M+Na]1+ +908.6586 PI-P_39:1_[M+NH4]1+ +908.7314 PG_44:0_[M+NH4]1+ +908.7702 TG_55:7_[M+NH4]1+ +908.8641 TG_54:0_[M+NH4]1+ +909.5464 PI_38:4_[M+Na]1+ +909.5488 PI_40:7_[M+H]1+ +909.6427 PI_39:0_[M+H]1+ +909.6555 PG_44:2_[M+Na]1+ +909.679 PI-O_40:0_[M+H]1+ +909.6943 TG_55:9_[M+Na]1+ +909.7882 TG_54:2_[M+Na]1+ +910.544 PI_39:8_[M+NH4]1+ +910.5569 PS_44:8_[M+Na]1+ +910.6379 PI_38:1_[M+NH4]1+ +910.6508 PS_43:1_[M+Na]1+ +910.6743 PI-O_39:1_[M+NH4]1+ +910.6919 TG_56:13_[M+NH4]1+ +910.7858 TG_55:6_[M+NH4]1+ +911.562 PI_38:3_[M+Na]1+ +911.5644 PI_40:6_[M+H]1+ +911.6712 PG_44:1_[M+Na]1+ +911.7099 TG_55:8_[M+Na]1+ +911.8038 TG_54:1_[M+Na]1+ +912.5597 PI_39:7_[M+NH4]1+ +912.5725 PS_44:7_[M+Na]1+ +912.596 PI-P_40:6_[M+NH4]1+ +912.6536 PI_38:0_[M+NH4]1+ +912.6664 PS_43:0_[M+Na]1+ +912.6899 PI-O_39:0_[M+NH4]1+ +912.7076 TG_56:12_[M+NH4]1+ +912.8015 TG_55:5_[M+NH4]1+ +913.5777 PI_38:2_[M+Na]1+ +913.5801 PI_40:5_[M+H]1+ +913.614 PI-P_39:1_[M+Na]1+ +913.6868 PG_44:0_[M+Na]1+ +913.7256 TG_55:7_[M+Na]1+ +913.8195 TG_54:0_[M+Na]1+ +914.5753 PI_39:6_[M+NH4]1+ +914.5882 PS_44:6_[M+Na]1+ +914.6117 PI-O_40:6_[M+NH4]1+ +914.7232 TG_56:11_[M+NH4]1+ +914.8171 TG_55:4_[M+NH4]1+ +915.3354 2H-IS_TG48_[M+NH4]1+ +915.4994 PI_39:8_[M+Na]1+ +915.5933 PI_38:1_[M+Na]1+ +915.5957 PI_40:4_[M+H]1+ +915.6297 PI-O_39:1_[M+Na]1+ +915.6473 TG_56:13_[M+Na]1+ +915.7412 TG_55:6_[M+Na]1+ +916.3415 2H-IS_TG48_[M+NH4]1+ +916.591 PI_39:5_[M+NH4]1+ +916.6038 PS_44:5_[M+Na]1+ +916.6273 PI-O_40:5_[M+NH4]1+ +916.7389 TG_56:10_[M+NH4]1+ +916.8328 TG_55:3_[M+NH4]1+ +917.3471 2H-IS_TG48_[M+NH4]1+ +917.5151 PI_39:7_[M+Na]1+ +917.5514 PI-P_40:6_[M+Na]1+ +917.609 PI_38:0_[M+Na]1+ +917.6114 PI_40:3_[M+H]1+ +917.6453 PI-O_39:0_[M+Na]1+ +917.663 TG_56:12_[M+Na]1+ +917.7569 TG_55:5_[M+Na]1+ +918.3525 2H-IS_TG48_[M+NH4]1+ +918.6066 PI_39:4_[M+NH4]1+ +918.6195 PS_44:4_[M+Na]1+ +918.643 PI-O_40:4_[M+NH4]1+ +918.7545 TG_56:9_[M+NH4]1+ +918.8484 TG_55:2_[M+NH4]1+ +919.357 2H-IS_TG48_[M+NH4]1+ +919.5307 PI_39:6_[M+Na]1+ +919.5671 PI-O_40:6_[M+Na]1+ +919.627 PI_40:2_[M+H]1+ +919.6786 TG_56:11_[M+Na]1+ +919.7725 TG_55:4_[M+Na]1+ +920.3606 2H-IS_TG48_[M+NH4]1+ +920.5284 PI_40:10_[M+NH4]1+ +920.6223 PI_39:3_[M+NH4]1+ +920.6351 PS_44:3_[M+Na]1+ +920.6586 PI-O_40:3_[M+NH4]1+ +920.7702 TG_56:8_[M+NH4]1+ +920.8641 TG_55:1_[M+NH4]1+ +921.5464 PI_39:5_[M+Na]1+ +921.5827 PI-O_40:5_[M+Na]1+ +921.6427 PI_40:1_[M+H]1+ +921.679 PI-P_41:0_[M+H]1+ +921.6943 TG_56:10_[M+Na]1+ +921.7882 TG_55:3_[M+Na]1+ +922.544 PI_40:9_[M+NH4]1+ +922.6379 PI_39:2_[M+NH4]1+ +922.6508 PS_44:2_[M+Na]1+ +922.6743 PI-O_40:2_[M+NH4]1+ +922.7858 TG_56:7_[M+NH4]1+ +922.8797 TG_55:0_[M+NH4]1+ +923.562 PI_39:4_[M+Na]1+ +923.5644 PI_41:7_[M+H]1+ +923.5984 PI-O_40:4_[M+Na]1+ +923.6008 PI-P_42:6_[M+H]1+ +923.6583 PI_40:0_[M+H]1+ +923.6947 PI-O_41:0_[M+H]1+ +923.7099 TG_56:9_[M+Na]1+ +923.8038 TG_55:2_[M+Na]1+ +924.5597 PI_40:8_[M+NH4]1+ +924.6536 PI_39:1_[M+NH4]1+ +924.6664 PS_44:1_[M+Na]1+ +924.6899 PI-O_40:1_[M+NH4]1+ +924.8015 TG_56:6_[M+NH4]1+ +925.4838 PI_40:10_[M+Na]1+ +925.5777 PI_39:3_[M+Na]1+ +925.5801 PI_41:6_[M+H]1+ +925.614 PI-O_40:3_[M+Na]1+ +925.6164 PI-O_42:6_[M+H]1+ +925.7256 TG_56:8_[M+Na]1+ +925.8195 TG_55:1_[M+Na]1+ +926.5753 PI_40:7_[M+NH4]1+ +926.6692 PI_39:0_[M+NH4]1+ +926.6821 PS_44:0_[M+Na]1+ +926.7056 PI-O_40:0_[M+NH4]1+ +926.7232 TG_57:12_[M+NH4]1+ +926.7572 PC_46:2_[M+H]1+ +926.8171 TG_56:5_[M+NH4]1+ +927.4994 PI_40:9_[M+Na]1+ +927.5933 PI_39:2_[M+Na]1+ +927.5957 PI_41:5_[M+H]1+ +927.6297 PI-O_40:2_[M+Na]1+ +927.6321 PI-P_42:4_[M+H]1+ +927.7412 TG_56:7_[M+Na]1+ +927.8351 TG_55:0_[M+Na]1+ +928.591 PI_40:6_[M+NH4]1+ +928.7389 TG_57:11_[M+NH4]1+ +928.7729 PC_46:1_[M+H]1+ +928.8328 TG_56:4_[M+NH4]1+ +929.5151 PI_40:8_[M+Na]1+ +929.5175 PI_42:11_[M+H]1+ +929.609 PI_39:1_[M+Na]1+ +929.6114 PI_41:4_[M+H]1+ +929.6453 PI-O_40:1_[M+Na]1+ +929.6477 PI-O_42:4_[M+H]1+ +929.7569 TG_56:6_[M+Na]1+ +930.6066 PI_40:5_[M+NH4]1+ +930.7545 TG_57:10_[M+NH4]1+ +930.7885 PC_46:0_[M+H]1+ +930.8484 TG_56:3_[M+NH4]1+ +931.5307 PI_40:7_[M+Na]1+ +931.5331 PI_42:10_[M+H]1+ +931.6246 PI_39:0_[M+Na]1+ +931.627 PI_41:3_[M+H]1+ +931.661 PI-O_40:0_[M+Na]1+ +931.6634 PI-P_42:2_[M+H]1+ +931.6786 TG_57:12_[M+Na]1+ +931.7725 TG_56:5_[M+Na]1+ +932.6223 PI_40:4_[M+NH4]1+ +932.7702 TG_57:9_[M+NH4]1+ +932.8641 TG_56:2_[M+NH4]1+ +933.5464 PI_40:6_[M+Na]1+ +933.5488 PI_42:9_[M+H]1+ +933.6427 PI_41:2_[M+H]1+ +933.679 PI-O_42:2_[M+H]1+ +933.6943 TG_57:11_[M+Na]1+ +933.7882 TG_56:4_[M+Na]1+ +934.6379 PI_40:3_[M+NH4]1+ +934.7858 TG_57:8_[M+NH4]1+ +934.8797 TG_56:1_[M+NH4]1+ +935.562 PI_40:5_[M+Na]1+ +935.5644 PI_42:8_[M+H]1+ +935.6583 PI_41:1_[M+H]1+ +935.6947 PI-O_42:1_[M+H]1+ +935.7099 TG_57:10_[M+Na]1+ +935.8038 TG_56:3_[M+Na]1+ +936.6536 PI_40:2_[M+NH4]1+ +936.7076 TG_58:14_[M+NH4]1+ +936.8015 TG_57:7_[M+NH4]1+ +936.8954 TG_56:0_[M+NH4]1+ +937.5777 PI_40:4_[M+Na]1+ +937.5801 PI_42:7_[M+H]1+ +937.674 PI_41:0_[M+H]1+ +937.7103 PI-O_42:0_[M+H]1+ +937.7256 TG_57:9_[M+Na]1+ +937.8195 TG_56:2_[M+Na]1+ +938.6692 PI_40:1_[M+NH4]1+ +938.7056 PI-P_41:0_[M+NH4]1+ +938.7232 TG_58:13_[M+NH4]1+ +938.8171 TG_57:6_[M+NH4]1+ +939.5933 PI_40:3_[M+Na]1+ +939.5957 PI_42:6_[M+H]1+ +939.7412 TG_57:8_[M+Na]1+ +939.8351 TG_56:1_[M+Na]1+ +940.591 PI_41:7_[M+NH4]1+ +940.6273 PI-P_42:6_[M+NH4]1+ +940.6849 PI_40:0_[M+NH4]1+ +940.7212 PI-O_41:0_[M+NH4]1+ +940.7389 TG_58:12_[M+NH4]1+ +940.8328 TG_57:5_[M+NH4]1+ +941.609 PI_40:2_[M+Na]1+ +941.6114 PI_42:5_[M+H]1+ +941.663 TG_58:14_[M+Na]1+ +941.7569 TG_57:7_[M+Na]1+ +941.8508 TG_56:0_[M+Na]1+ +942.6066 PI_41:6_[M+NH4]1+ +942.643 PI-O_42:6_[M+NH4]1+ +942.7545 TG_58:11_[M+NH4]1+ +942.8484 TG_57:4_[M+NH4]1+ +943.6246 PI_40:1_[M+Na]1+ +943.627 PI_42:4_[M+H]1+ +943.661 PI-P_41:0_[M+Na]1+ +943.6786 TG_58:13_[M+Na]1+ +943.7725 TG_57:6_[M+Na]1+ +944.6223 PI_41:5_[M+NH4]1+ +944.6586 PI-P_42:4_[M+NH4]1+ +944.7702 TG_58:10_[M+NH4]1+ +944.8641 TG_57:3_[M+NH4]1+ +945.5464 PI_41:7_[M+Na]1+ +945.5827 PI-P_42:6_[M+Na]1+ +945.6403 PI_40:0_[M+Na]1+ +945.6427 PI_42:3_[M+H]1+ +945.6766 PI-O_41:0_[M+Na]1+ +945.6943 TG_58:12_[M+Na]1+ +945.7882 TG_57:5_[M+Na]1+ +946.544 PI_42:11_[M+NH4]1+ +946.6379 PI_41:4_[M+NH4]1+ +946.6743 PI-O_42:4_[M+NH4]1+ +946.7858 TG_58:9_[M+NH4]1+ +946.8797 TG_57:2_[M+NH4]1+ +947.562 PI_41:6_[M+Na]1+ +947.5984 PI-O_42:6_[M+Na]1+ +947.6583 PI_42:2_[M+H]1+ +947.7099 TG_58:11_[M+Na]1+ +947.8038 TG_57:4_[M+Na]1+ +948.5597 PI_42:10_[M+NH4]1+ +948.6536 PI_41:3_[M+NH4]1+ +948.6899 PI-P_42:2_[M+NH4]1+ +948.8015 TG_58:8_[M+NH4]1+ +948.8954 TG_57:1_[M+NH4]1+ +949.5777 PI_41:5_[M+Na]1+ +949.614 PI-P_42:4_[M+Na]1+ +949.674 PI_42:1_[M+H]1+ +949.7256 TG_58:10_[M+Na]1+ +949.8195 TG_57:3_[M+Na]1+ +950.5753 PI_42:9_[M+NH4]1+ +950.6692 PI_41:2_[M+NH4]1+ +950.7056 PI-O_42:2_[M+NH4]1+ +950.8171 TG_58:7_[M+NH4]1+ +950.911 TG_57:0_[M+NH4]1+ +951.4994 PI_42:11_[M+Na]1+ +951.5933 PI_41:4_[M+Na]1+ +951.6297 PI-O_42:4_[M+Na]1+ +951.6896 PI_42:0_[M+H]1+ +951.7412 TG_58:9_[M+Na]1+ +951.8351 TG_57:2_[M+Na]1+ +952.591 PI_42:8_[M+NH4]1+ +952.6849 PI_41:1_[M+NH4]1+ +952.7212 PI-O_42:1_[M+NH4]1+ +952.7389 TG_59:13_[M+NH4]1+ +952.8328 TG_58:6_[M+NH4]1+ +953.5151 PI_42:10_[M+Na]1+ +953.609 PI_41:3_[M+Na]1+ +953.6114 PI_43:6_[M+H]1+ +953.6453 PI-P_42:2_[M+Na]1+ +953.7569 TG_58:8_[M+Na]1+ +953.8508 TG_57:1_[M+Na]1+ +954.6066 PI_42:7_[M+NH4]1+ +954.7005 PI_41:0_[M+NH4]1+ +954.7369 PI-O_42:0_[M+NH4]1+ +954.7545 TG_59:12_[M+NH4]1+ +954.7885 PC_48:1_[M+H]1+ +954.8484 TG_58:5_[M+NH4]1+ +955.5307 PI_42:9_[M+Na]1+ +955.5331 PI_44:12_[M+H]1+ +955.6246 PI_41:2_[M+Na]1+ +955.661 PI-O_42:2_[M+Na]1+ +955.7725 TG_58:7_[M+Na]1+ +955.8664 TG_57:0_[M+Na]1+ +956.6223 PI_42:6_[M+NH4]1+ +956.7702 TG_59:11_[M+NH4]1+ +956.8641 TG_58:4_[M+NH4]1+ +957.5464 PI_42:8_[M+Na]1+ +957.6403 PI_41:1_[M+Na]1+ +957.6427 PI_43:4_[M+H]1+ +957.6766 PI-O_42:1_[M+Na]1+ +957.6943 TG_59:13_[M+Na]1+ +957.7882 TG_58:6_[M+Na]1+ +958.6379 PI_42:5_[M+NH4]1+ +958.7858 TG_59:10_[M+NH4]1+ +958.8198 PC_48:0_[M+H]1+ +958.8797 TG_58:3_[M+NH4]1+ +959.562 PI_42:7_[M+Na]1+ +959.5644 PI_44:10_[M+H]1+ +959.6559 PI_41:0_[M+Na]1+ +959.6923 PI-O_42:0_[M+Na]1+ +959.7099 TG_59:12_[M+Na]1+ +959.8038 TG_58:5_[M+Na]1+ +960.6536 PI_42:4_[M+NH4]1+ +960.8015 TG_59:9_[M+NH4]1+ +960.8954 TG_58:2_[M+NH4]1+ +961.5777 PI_42:6_[M+Na]1+ +961.674 PI_43:2_[M+H]1+ +961.7256 TG_59:11_[M+Na]1+ +961.8195 TG_58:4_[M+Na]1+ +962.6692 PI_42:3_[M+NH4]1+ +962.7232 TG_60:15_[M+NH4]1+ +962.8171 TG_59:8_[M+NH4]1+ +962.911 TG_58:1_[M+NH4]1+ +963.5933 PI_42:5_[M+Na]1+ +963.5957 PI_44:8_[M+H]1+ +963.6896 PI_43:1_[M+H]1+ +963.7412 TG_59:10_[M+Na]1+ +963.8351 TG_58:3_[M+Na]1+ +964.6849 PI_42:2_[M+NH4]1+ +964.7389 TG_60:14_[M+NH4]1+ +964.7729 PE_52:4_[M+H]1+ +964.8328 TG_59:7_[M+NH4]1+ +964.9267 TG_58:0_[M+NH4]1+ +965.609 PI_42:4_[M+Na]1+ +965.6114 PI_44:7_[M+H]1+ +965.7053 PI_43:0_[M+H]1+ +965.7569 TG_59:9_[M+Na]1+ +965.8508 TG_58:2_[M+Na]1+ +966.7005 PI_42:1_[M+NH4]1+ +966.7545 TG_60:13_[M+NH4]1+ +966.8484 TG_59:6_[M+NH4]1+ +967.6246 PI_42:3_[M+Na]1+ +967.627 PI_44:6_[M+H]1+ +967.6786 TG_60:15_[M+Na]1+ +967.7725 TG_59:8_[M+Na]1+ +967.8664 TG_58:1_[M+Na]1+ +968.7162 PI_42:0_[M+NH4]1+ +968.7702 TG_60:12_[M+NH4]1+ +968.8641 TG_59:5_[M+NH4]1+ +969.6403 PI_42:2_[M+Na]1+ +969.6427 PI_44:5_[M+H]1+ +969.6943 TG_60:14_[M+Na]1+ +969.7882 TG_59:7_[M+Na]1+ +969.8821 TG_58:0_[M+Na]1+ +970.6379 PI_43:6_[M+NH4]1+ +970.7858 TG_60:11_[M+NH4]1+ +970.8797 TG_59:4_[M+NH4]1+ +971.6559 PI_42:1_[M+Na]1+ +971.6583 PI_44:4_[M+H]1+ +971.7099 TG_60:13_[M+Na]1+ +971.8038 TG_59:6_[M+Na]1+ +972.5597 PI_44:12_[M+NH4]1+ +972.8015 TG_60:10_[M+NH4]1+ +972.8954 TG_59:3_[M+NH4]1+ +973.6716 PI_42:0_[M+Na]1+ +973.674 PI_44:3_[M+H]1+ +973.7256 TG_60:12_[M+Na]1+ +973.8195 TG_59:5_[M+Na]1+ +974.6692 PI_43:4_[M+NH4]1+ +974.8171 TG_60:9_[M+NH4]1+ +974.911 TG_59:2_[M+NH4]1+ +975.5933 PI_43:6_[M+Na]1+ +975.6896 PI_44:2_[M+H]1+ +975.7412 TG_60:11_[M+Na]1+ +975.8351 TG_59:4_[M+Na]1+ +976.591 PI_44:10_[M+NH4]1+ +976.8328 TG_60:8_[M+NH4]1+ +976.9267 TG_59:1_[M+NH4]1+ +977.5151 PI_44:12_[M+Na]1+ +977.7053 PI_44:1_[M+H]1+ +977.7569 TG_60:10_[M+Na]1+ +977.8508 TG_59:3_[M+Na]1+ +978.7005 PI_43:2_[M+NH4]1+ +978.7545 TG_61:14_[M+NH4]1+ +978.8484 TG_60:7_[M+NH4]1+ +978.9423 TG_59:0_[M+NH4]1+ +979.6246 PI_43:4_[M+Na]1+ +979.7209 PI_44:0_[M+H]1+ +979.7725 TG_60:9_[M+Na]1+ +979.8664 TG_59:2_[M+Na]1+ +980.6223 PI_44:8_[M+NH4]1+ +980.7162 PI_43:1_[M+NH4]1+ +980.7702 TG_61:13_[M+NH4]1+ +980.8641 TG_60:6_[M+NH4]1+ +981.5464 PI_44:10_[M+Na]1+ +981.7882 TG_60:8_[M+Na]1+ +981.8821 TG_59:1_[M+Na]1+ +982.6379 PI_44:7_[M+NH4]1+ +982.7318 PI_43:0_[M+NH4]1+ +982.7858 TG_61:12_[M+NH4]1+ +982.8797 TG_60:5_[M+NH4]1+ +983.6559 PI_43:2_[M+Na]1+ +983.7099 TG_61:14_[M+Na]1+ +983.8038 TG_60:7_[M+Na]1+ +983.8977 TG_59:0_[M+Na]1+ +984.6536 PI_44:6_[M+NH4]1+ +984.8015 TG_61:11_[M+NH4]1+ +984.8954 TG_60:4_[M+NH4]1+ +985.5777 PI_44:8_[M+Na]1+ +985.6716 PI_43:1_[M+Na]1+ +985.7256 TG_61:13_[M+Na]1+ +985.8195 TG_60:6_[M+Na]1+ +986.6692 PI_44:5_[M+NH4]1+ +986.8171 TG_61:10_[M+NH4]1+ +986.8511 PC_50:0_[M+H]1+ +986.911 TG_60:3_[M+NH4]1+ +987.5933 PI_44:7_[M+Na]1+ +987.6872 PI_43:0_[M+Na]1+ +987.7412 TG_61:12_[M+Na]1+ +987.8351 TG_60:5_[M+Na]1+ +988.6849 PI_44:4_[M+NH4]1+ +988.7389 TG_62:16_[M+NH4]1+ +988.8328 TG_61:9_[M+NH4]1+ +988.9267 TG_60:2_[M+NH4]1+ +989.609 PI_44:6_[M+Na]1+ +989.7569 TG_61:11_[M+Na]1+ +989.8508 TG_60:4_[M+Na]1+ +990.7005 PI_44:3_[M+NH4]1+ +990.7545 TG_62:15_[M+NH4]1+ +990.8484 TG_61:8_[M+NH4]1+ +990.9423 TG_60:1_[M+NH4]1+ +991.6246 PI_44:5_[M+Na]1+ +991.7725 TG_61:10_[M+Na]1+ +991.8664 TG_60:3_[M+Na]1+ +992.7162 PI_44:2_[M+NH4]1+ +992.7702 TG_62:14_[M+NH4]1+ +992.8641 TG_61:7_[M+NH4]1+ +992.958 TG_60:0_[M+NH4]1+ +993.6403 PI_44:4_[M+Na]1+ +993.6943 TG_62:16_[M+Na]1+ +993.7882 TG_61:9_[M+Na]1+ +993.8821 TG_60:2_[M+Na]1+ +994.7318 PI_44:1_[M+NH4]1+ +994.7858 TG_62:13_[M+NH4]1+ +994.8797 TG_61:6_[M+NH4]1+ +995.6559 PI_44:3_[M+Na]1+ +995.7099 TG_62:15_[M+Na]1+ +995.8038 TG_61:8_[M+Na]1+ +995.8977 TG_60:1_[M+Na]1+ +996.7475 PI_44:0_[M+NH4]1+ +996.8015 TG_62:12_[M+NH4]1+ +996.8954 TG_61:5_[M+NH4]1+ +997.6716 PI_44:2_[M+Na]1+ +997.7256 TG_62:14_[M+Na]1+ +997.8195 TG_61:7_[M+Na]1+ +997.9134 TG_60:0_[M+Na]1+ +998.8171 TG_62:11_[M+NH4]1+ +998.911 TG_61:4_[M+NH4]1+ +999.6872 PI_44:1_[M+Na]1+ +999.7412 TG_62:13_[M+Na]1+ +999.8351 TG_61:6_[M+Na]1+ +1000.8328 TG_62:10_[M+NH4]1+ +1000.9267 TG_61:3_[M+NH4]1+ +1001.7029 PI_44:0_[M+Na]1+ +1001.7569 TG_62:12_[M+Na]1+ +1001.8508 TG_61:5_[M+Na]1+ +1002.8484 TG_62:9_[M+NH4]1+ +1002.9423 TG_61:2_[M+NH4]1+ +1003.7725 TG_62:11_[M+Na]1+ +1003.8664 TG_61:4_[M+Na]1+ +1004.8641 TG_62:8_[M+NH4]1+ +1004.958 TG_61:1_[M+NH4]1+ +1005.7882 TG_62:10_[M+Na]1+ +1005.8821 TG_61:3_[M+Na]1+ +1006.8198 PC_52:4_[M+H]1+ +1006.8797 TG_62:7_[M+NH4]1+ +1006.9736 TG_61:0_[M+NH4]1+ +1007.8038 TG_62:9_[M+Na]1+ +1007.8977 TG_61:2_[M+Na]1+ +1008.8015 TG_63:13_[M+NH4]1+ +1008.8954 TG_62:6_[M+NH4]1+ +1009.8195 TG_62:8_[M+Na]1+ +1009.9134 TG_61:1_[M+Na]1+ +1010.8171 TG_63:12_[M+NH4]1+ +1010.911 TG_62:5_[M+NH4]1+ +1011.5033 2H-IS_TG54_[M+NH4]1+ +1011.8351 TG_62:7_[M+Na]1+ +1011.929 TG_61:0_[M+Na]1+ +1012.5093 2H-IS_TG54_[M+NH4]1+ +1012.8328 TG_63:11_[M+NH4]1+ +1012.9267 TG_62:4_[M+NH4]1+ +1013.5151 2H-IS_TG54_[M+NH4]1+ +1013.7569 TG_63:13_[M+Na]1+ +1013.8508 TG_62:6_[M+Na]1+ +1014.5209 2H-IS_TG54_[M+NH4]1+ +1014.7545 TG_64:17_[M+NH4]1+ +1014.8484 TG_63:10_[M+NH4]1+ +1014.8824 PC_52:0_[M+H]1+ +1014.9423 TG_62:3_[M+NH4]1+ +1015.5249 2H-IS_TG54_[M+NH4]1+ +1015.7725 TG_63:12_[M+Na]1+ +1015.8664 TG_62:5_[M+Na]1+ +1016.5285 2H-IS_TG54_[M+NH4]1+ +1016.7702 TG_64:16_[M+NH4]1+ +1016.8641 TG_63:9_[M+NH4]1+ +1016.958 TG_62:2_[M+NH4]1+ +1017.7882 TG_63:11_[M+Na]1+ +1017.8821 TG_62:4_[M+Na]1+ +1018.7858 TG_64:15_[M+NH4]1+ +1018.8797 TG_63:8_[M+NH4]1+ +1018.9736 TG_62:1_[M+NH4]1+ +1019.7099 TG_64:17_[M+Na]1+ +1019.8038 TG_63:10_[M+Na]1+ +1019.8977 TG_62:3_[M+Na]1+ +1020.8015 TG_64:14_[M+NH4]1+ +1020.8954 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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/grp_sam.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,14 @@ +sample +sample +sample +sample +sample +sample +sample +sample +sample +sample +sample +sample +sample +sample
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/grp_sam_bl.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,14 @@ +sample +sample +sample +sample +sample +sample +sample +sample +sample +sample +blank +blank +blank +blank
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/grp_sam_qc.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,14 @@ +sample +sample +sample +sample +sample +sample +sample +sample +sample +sample +qc +qc +qc +qc
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/grp_sam_qc_bl.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,14 @@ +sample +sample +sample +sample +sample +sample +sample +sample +sample +sample +qc +qc +blank +blank
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ikBFOIqtHIaKQIoRrSolhopADf7Tpy2GikDV/f4kNoaKQOAQLqI+hopANDdhH0eGikDScJicT4aKQL+90xlYhopA/R0Tl2CGikCNQncUaYaKQHLJvpFxhopAsGMKD3qGikBHEVqMgoaKQMVGFC9Si4pAbGu3rlqLikDupF4uY4uKQEvzCa5ri4pAiVa5LXSLikCozmytfIuKQK1bJC2Fi4pAmP3frI2LikButJ8slouKQDKAY6yei4pA42ArLKeLikCHVverr4uKQCBhxyu4i4pAr4Cbq8CLikA5tXMryYuKQL9tX6vRi4pARMw/K9qLikDKPySr4ouKQFXIDCvri4pABIe8QumNikDgJJ7D8Y2KQGHYg0T6jYpAi6FtxQKOikBggFtGC46KQOV0TccTjopAGn9DSByOikABnz3JJI6KQJ/UO0otjopA9h8+yzWOikAIgURMPo6KQNj3Ts1GjopAaYRdTk+OikC9JnDPV46KQNbehlBgjopAt1HC0WiOikBkNeFScY6KQN4uBNR5jopAJz4rVYKOikCAecWoXJOKQJZ+RSxlk4pA/5rJr22TikC+zlEzdpOKQNYZ3rZ+k4pASnxuOoeTikAd9gK+j5OKQFGHm0GYk4pA5y84xaCTikDh79hIqZOKQEbHfcyxk4pAFrYmULqTikBWm+PTwpOKQAa5lFfLk4pAKe5J29OTikDCOgNf3JOKQLgqWvMFlopAWpoheA6WikAdIu38FpaKQAzCvIEflopAJnqQBiiWikBtSmiLMJaKQOUyRBA5lopAkDMklUGWikBvTAgaSpaKQId98J5SlopA2MbcI1uWikBnKM2oY5aKQDeiwS1slopASDS6snSWikCfJtQ3fZaKQD3p1LyFlopAJsTZQY6WikBat+LGlpaKQEDgk1bimopA3YGx3eqaikAgPdNk85qKQAcS+ev7mopAmwAjcwSbikDcCFH6DJuKQM0qg4EVm4pAb2a5CB6bikDHu/OPJpuKQNYqMhcvm4pAn7N0njebikAlVrslQJuKQGkSBq1Im4pAcOhUNFGbikA72Ke7WZuKQM6uEUNim4pAK9JsymqbikBUD8xRc5uKQEtmL9l7m4pA3EGPOQSeikD0ei7CDJ6KQKjO0UoVnopA/Dx50x2eikDwxSRcJp6KQItp1OQunopAyieIbTeeikCzAED2P56KQEn0+35InopAjQK8B1GeikCBK4CQWZ6KQClvSBlinopAis0UomqeikCiRuUqc56KQHfaubN7nopAComSPISeikBelozFjJ6KQHV6bU6VnopAU3lS152eikD3kjtgpp6KQPOWNlnroopAH4Yx5POiikBqkTBv/KKKQNa4M/oEo4pAZ/w6hQ2jikAhXEYQFqOKQATYVZseo4pAFHBpJiejikBSJIGxL6OKQMP0nDw4o4pAaOG8x0CjikBE6uBSSaOKQFoPCd5Ro4pArFA1aVqjikA9Z3j0YqOKQBHhrH9ro4pAJ3flCnSjikCGKSKWfKOKQLCynqcOpopAayIcNBemikA8r53AH6aKQChZI00opopALyCt2TCmikBWBDtmOaaKQJ8FzfJBpopADSRjf0qmikChX/0LU6aKQGG4m5hbpopASy4+JWSmikBmweSxbKaKQLJxjz51popAMZVby32mikDqfw5YhqaKQNqHxeSOpopACK2AcZemikBnGiKPAKuKQNjLAB4Jq4pA55vjrBGrikCViso7GquKQOmXtcoiq4pA4sOkWSurikCDDpjoM6uKQNF3j3c8q4pAzv+KBkWrikB5poqVTauKQNtrjiRWq4pA7xaps16rikC/GbVCZ6uKQEk7xdFvq4pAkXvZYHirikBgOlZLJa6KQBtXuNstropAbJMebDauikBY74j8Pq6KQOBq94xHropABgZqHVCuikDOwOCtWK6KQDubWz5hropATZXazmmuikALF4Vfcq6KQHRQDPB6ropAi6mXgIOuikBVIicRjK6KQCHEFHestIpAmrSbCrW0ikCyxiaevbSKQGn6tTHGtIpAwE9Jxc60ikC8xuBY17SKQF1ffOzftIpAqBkcgOi0ikCe9b8T8bSKQETzZ6f5tIpAmRIUOwK1ikCiU8TOCrWKQGK5qGITtYpA3D1h9hu1ikAQ5B2KJLWKQAOs3h0ttYpA/KH3lLi8ikAVPl8swbyKQEn+ysPJvIpAmOI6W9K8ikAH667y2ryKQJgXJ4rjvIpATWijIey8ikAo3SO59LyKQC52qFD9vIpAXjMx6AW9ikC+FL5/Dr2KQFCO5RcXvYpAFbh6rx+9ikASBhRHKL2KQEh4sd4wvYpAJNn1v8rVikBqzXVj09WKQJHt+Qbc1YpAnDmCquTVikCOsQ5O7dWKQGVVn/H11YpALCU0lf7VikDiIM04B9aKQIlIatwP1opAJZwLgBjWikC2G7EjIdaKQELHWscp1opAyZ4IazLWikBPCesOO9aKQNc4obJD1opAZJRbVkzWikD3Gxr6VNaKQCZoZjTd3YpAZH7M2+XdikAJwzaD7t2KQBQ2pSr33YpAiNcX0v/dikBpp455CN6KQLmlCSER3opAedKIyBneikCvLQxwIt6KQFu3kxcr3opAgW8fvzPeikAivs1mPN6KQEPTYQ5F3opA6Bb6tU3eikANiZZdVt6KQFA9qVQB44pA0leL/gnjikBQonGoEuOKQNAcXFIb44pAUcdK/CPjikDaoT2mLOOKQGusNFA144pACecv+j3jikC0US+kRuOKQHC5NU5P44pAPoQ9+FfjikAkf0miYOOKQCOqWUxp44pAPQVu9nHjikB0kIageuOKQM5Lo0qD44pASzfE9IvjikDuUumelOOKQLaeEkmd44pArhpA86XjikDVxnGdruOKQC6jp0e344pAua/h8b/jikB77B+cyOOKQHZZYkbR44pAru+38NnjikAlvQKb4uOKQNu6UUXr44pA1uik7/PjikC4U32i6uWKQBC0x03z5YpATUUW+fvlikBzB2mkBOaKQIX6v08N5opAgh4b+xXmikBzc3qmHuaKQFf53VEn5opAMrBF/S/mikAFmLGoOOaKQNawIVRB5opAo/qV/0nmikBxmS+rUuaKQEVFrFZb5opAHiItAmTmikABMLKtbOaKQI/zPItw64pA1QEzOXnrikC6Qi3ngeuKQEC2K5WK64pAaVwuQ5PrikA7NTXxm+uKQLZAQJ+k64pA3n5PTa3rikC072L7teuKQD2Teqm+64pAeGmWV8frikBucrYF0OuKQByu2rPY64pAhu4RYuHrikCwjz4Q6uuKQJ1jb77y64pAT2qkbPvrikCVqbgA8+2KQFt25a/77YpAhnYWXwTuikAbqksODe6KQB4Rhb0V7opAj6vCbB7uikB0eQQcJ+6KQM16Sssv7opAnq+UejjuikDoF+MpQe6KQLGzNdlJ7opA91GsiFLuikDBVAc4W+6KQBCLZudj7opA5/TJlmzuikBWJ184R/OKQCL8H+pP84pA/wXlm1jzikDxRK5NYfOKQPm4e/9p84pAGWJNsXLzikBYQCNje/OKQLJT/RSE84pAMJzbxozzikDRqb94lfOKQJhcpiqe84pAi0SR3KbzikCoYYCOr/OKQPWzc0C484pAcTtr8sDzikAj+GakyfOKQAzqZlbS84pAMEx6CNvzikCPqIK64/OKQC86j2zs84pAEAGgHvXzikD+b7arB/aKQJAxzF4Q9opADinmERn2ikB7VgTFIfaKQN25Jngq9opAM1NNKzP2ikB8InjeO/aKQMUnp5FE9opACmPaRE32ikBR1BH4VfaKQJl7Tate9opA51iNXmf2ikA9bNERcPaKQJ/nScV49opADWeWeIH2ikCNHOcrivaKQB8IPN+S9opADxtojA7+ikDIuWBDF/6KQPOQXfof/opAjqBesSj+ikCf6GNoMf6KQCdpbR86/opAKiJ71kL+ikCoE42NS/6KQKc9o0RU/opAKaC9+1z+ikAvO9yyZf6KQLwO/2lu/opA1RomIXf+ikB6X1HYf/6KQLHWqI+I/opAeYzcRpH+ikDXehT+mf6KQM2hULWi/opAHUOXUs0Ei0CyV9QM1gSLQNGmFcfeBItAfzBbgecEi0C99KQ78ASLQJDz8vX4BItA+SxFsAEFi0D7oJtqCgWLQJhP9iQTBYtA1jhV3xsFi0CzycCZJAWLQDUoKFQtBYtAW8GTDjYFi0AulQPJPgWLQHf08zMzBotAJXLe7jsGi0DNKs2pRAaLQHMewGRNBotAG023H1YGi0DHtrLaXgaLQHhbspVnBotANDu2UHAGi0D4Vb4LeQaLQM2rysaBBotAtdsCgooGi0Cwpxc9kwaLQMOuMPibBotA7vBNs6QGi0CEJl4P0gyLQNwefs3aDItAQ1Sii+MMi0C8xspJ7AyLQEh29wf1DItA7WIoxv0Mi0CpjF2EBg2LQILzlkIPDYtAepfUABgNi0CS8kK/IA2LQNEQiX0pDYtANWzTOzINi0DFBCL6Og2LQFR4O/szFItAlO3vvDwUi0A2oqh+RRSLQDmWZUBOFItAoskmAlcUi0ByPOzDXxSLQKzutYVoFItAU+CDR3EUi0BpEVYJehSLQPGBLMuCFItA7jEHjYsUi0BjIeZOlBSLQFNm4RCdFItAv9TI0qUUi0CsgrSUrhSLQBxwpFa3FItAWeNv8zQYi0DmlxW3PRiLQBKNv3pGGItA48JtPk8Yi0BZOSACWBiLQHfw1sVgGItAQuiRiWkYi0C7IFFNchiLQOaZFBF7GItAxVPc1IMYi0BbTqiYjBiLQKqJeFyVGItAswFcIJ4Yi0B9vjTkphiLQAi8EaivGItAWPrya7gYi0D0a5EkrBqLQClpaem0GotAxqdFrr0ai0DLJyZzxhqLQD7pCjjPGotAIezz/Ncai0B1MOHB4BqLQD220obpGotAfH3IS/Iai0A3hsIQ+xqLQG7QwNUDG4tAI1zDmgwbi0BcKcpfFRuLQBo41SQeG4tAYKjt6SYbi0AvOgGvLxuLQIwNGXQ4G4tAeyI1OUEbi0CzGZ+UPxyLQIXiOlpIHItAPe3aH1Eci0DeOX/lWRyLQGnIJ6tiHItA45jUcGsci0BOq4U2dByLQKr/Ovx8HItA/ZX0wYUci0BLbrKHjhyLQJPPjE2XHItA1ytTE6Aci0Afyh3ZqByLQGuq7J6xHItApoLw5FMgi0DEOIesXCCLQBAyInRlIItAjG7BO24gi0A77mQDdyCLQCGxDMt/IItAPbe4koggi0CWAGlakSCLQC6NHSKaIItAB3/f6aIgi0AikpyxqyCLQIToXXm0IItAL4IjQb0gi0Ajv6FC1iGLQEsL9ArfIYtAGptK0+chi0CTbqWb8CGLQLmFBGT5IYtAjuBnLAIii0ARf8/0CiKLQE1hO70TIotAQYerhRwii0Dv8B9OJSKLQFlQnhYuIotAhEEb3zYii0BydpynPyKLQCXvIXBIIotAg83zMcwii0AEhL361CKLQHl+i8PdIotA6LxdjOYii0BMPzRV7yKLQLEFDx74IotAFBDu5gAji0B4XtGvCSOLQOPwuHgSI4tAVcekQRsji0DRRp0KJCOLQFulkdMsI4tA80eKnDUji0CfLodlPiOLQPuK9Gc0JItAeCxtMT0ki0BbEur6RSSLQKY8a8ROJItAXqvwjVcki0CCXnpXYCSLQBhWCCFpJItAIJKa6nEki0CfEjG0eiSLQJfL1H2DJItAC9VzR4wki0D5IhcRlSSLQG21vtqdJItARIMihKUli0C6Zk5OriWLQAePfhi3JYtANPyy4r8li0A9ruusyCWLQCelKHfRJYtA+OBpQdoli0CxYa8L4yWLQFMn+dXrJYtA5DFHoPQli0BjgZlq/SWLQNYV8DQGJotAP+9K/w4mi0CfOMPJFyaLQPibJpQgJotAUUSOXikmi0CrMfooMiaLQBaiR1jWKYtACKV8JN8pi0Am7rXw5ymLQHN987zwKYtA8FI1ifkpi0CgbntVAiqLQIfQxSELKotApngU7hMqi0ACZ2e6HCqLQJubvoYlKotAdxYaUy4qi0CX13kfNyqLQP3e3es/KotArRNduEgqi0Cqp8mEUSqLQPWBOlFaKotAlKKvHWMqi0BNPmEXsC2LQGg3deW4LYtA5neNs8Eti0DH/6mByi2LQBHPyk/TLYtAw+XvHdwti0DjQxns5C2LQHHpRrrtLYtActZ4iPYti0DoCq9W/y2LQNWG6SQILotAPkoo8xAui0AiooTBGS6LQIn0y48iLotAcI4XXisui0Deb2csNC6LQLfKT/jZMYtAlM9pyOIxi0AiHYiY6zGLQGKzqmj0MYtAXJLROP0xi0AOuvwIBjKLQHwqLNkOMotAqeNfqRcyi0CY5Zd5IDKLQEww1EkpMotAyMMUGjIyi0ANoFnqOjKLQB/ForpDMotAATPwikwyi0C2NFlbVTKLQD80ryteMotAonwJ/GYyi0DcDWjMbzKLQPED0j2+NYtAsmPQD8c1i0BeDdPhzzWLQPcA2rPYNYtAgj7lheE1i0ABxvRX6jWLQHWXCCrzNYtA4bIg/Ps1i0BMGD3OBDaLQLPHXaANNotAHsGCchY2i0CKBKxEHzaLQACS2RYoNotAfmkL6TA2i0AFi0G7OTaLQKDPlI1CNotATIXTX0s2i0ANhRYyVDaLQOfOXQRdNotA0qHS+Ok5i0CgQNjM8jmLQKsq4qD7OYtA8l/wdAQ6i0B94AJJDTqLQE2sGR0WOotAYsM08R46i0DCJVTFJzqLQG/Td5kwOotAbMyfbTk6i0C6EMxBQjqLQFyg/BVLOotAWHsx6lM6i0Cs6oG+XDqLQGBcv5JlOotAcxkBZ246i0DoIUc7dzqLQE/bqyPHPYtA86eS+c89i0ANwX3P2D2LQJ4mbaXhPYtAqthge+o9i0Aw11hR8z2LQDciVSf8PYtAv7lV/QQ+i0DMnVrTDT6LQGDOY6kWPotAf0txfx8+i0AqFYNVKD6LQGUrmSsxPotANY6zATo+i0CYPdLXQj6LQJQTDq5LPotAKlw1hFQ+i0Bg8WBaXT6LQDbTkDBmPotAwqWyZwZCi0Dnf6o/D0KLQNSnphcYQotAkR2n7yBCi0Ae4avHKUKLQIDytJ8yQotAt1HCdztCi0DI/tNPREKLQLT56SdNQotAgeIbAFZCi0AteTrYXkKLQL9dXbBnQotAN5CEiHBCi0AD+hyZ00WLQOeC7nLcRYtAyFrETOVFi0CrgZ4m7kWLQJL3fAD3RYtAgbxf2v9Fi0B50Ea0CEaLQH0zMo4RRotAkeUhaBpGi0C45hVCI0aLQPI2DhwsRotARtYK9jRGi0CzxAvQPUaLQD4CEapGRotA6o4ahE9Gi0C4aiheWEaLQKuVOjhhRotAyC2BEmpGi0AQ95vsckaLQIYPu8Z7RotALXfeoIRGi0AqY4XC2k2LQMynP6DjTYtA+D3+fexNi0CtJcFb9U2LQPFeiDn+TYtAx+lTFwdOi0AvxiP1D06LQC3099IYTotAxXPQsCFOi0D5RK2OKk6LQM1njmwzTotAQtxzSjxOi0BWol0oRU6LQBa6SwZOTotAgSM+5FZOi0CX3jTCX06LQF5kYKBoTotA18JffnFOi0AFc2Ncek6LQOl0azqDTotAzoOHWe5Vi0DtJTE791WLQCIc3xwAVotAcWaR/ghWi0DdBEjgEVaLQGj3AsIaVotAFD7CoyNWi0Dm2IWFLFaLQN/HTWc1VotAAgsaST5Wi0BUouoqR1aLQNONvwxQVotAiM2Y7lhWi0BxYXbQYVaLQJRJWLJqVotA8YU+lHNWi0CLFil2fFaLQGj7F1iFVotAiTQLOo5Wi0Du5TIcl1aLQKDHLv6fVotAnf0u4KhWi0DnhzPCsVaLQFzmSbvzXYtAKo3coPxdi0CZinOGBV6LQK3eDmwOXotAaImuURdei0DMilI3IF6LQN3i+hwpXotAnZGnAjJei0AQl1joOl6LQDjzDc5DXotAGabHs0xei0C0r4WZVV6LQAwQSH9eXotAJccOZWdei0AB1dlKcF6LQKQ5qTB5XotAD/V8FoJei0BHB1X8il6LQEvfYeKTXotAI59CyJxei0DOtSeupV6LQFEjEZSuXotAOy7eu/Nli0CBzFel/GWLQPPD1Y4FZotAkxRYeA5mi0Bkvt5hF2aLQGjBaUsgZotAoh35NClmi0AX04weMmaLQMfhJAg7ZotAtknB8UNmi0DlCmLbTGaLQFslB8VVZotAGJmwrl5mi0AfZl6YZ2aLQHKMEIJwZotAEwzHa3lmi0AK5YFVgmaLQFUXQT+LZotA+qIEKZRmi0D5h8wSnWaLQFjGmPylZotAF4uZ5q5mi0A4fG7Qt2aLQMDGR7rAZotAs2olpMlmi0Duii8HEm6LQGF8n/QabotAmMkT4iNui0CQcozPLG6LQE53Cb01botA0teKqj5ui0AilBCYR26LQD+smoVQbotAKyApc1lui0Ds77tgYm6LQIEbU05rbotA8KLuO3Rui0A6ho4pfW6LQGLFMheGbotAbGDbBI9ui0BaV4jyl26LQC6qOeCgbotA7Wgfzqlui0CYc9m7sm6LQDLal6m7botAvpxal8Rui0DMvF79KnaLQML8wu4zdotAC5sr4Dx2i0Cpl5jRRXaLQJ7yCcNOdotA76t/tFd2i0Cbw/mlYHaLQKs5eJdpdotAHQ77iHJ2i0D2QIJ6e3aLQDfSDWyEdotA5MGdXY12i0D/DzJPlnaLQI28ykCfdotAkMdnMqh2i0AIMQkksXaLQPz4rhW6dotAbTmEB8N2i0BdvjL5y3aLQNCh5erUdotAyOOc3N12i0CP4JmOcH2LQNqyi4N5fYtAzOWBeIJ9i0BkeXxti32LQKRte2KUfYtAjsJ+V519i0ApeIZMpn2LQHSOkkGvfYtAcgWjNrh9i0ApcrkrwX2LQJiq0iDKfYtAxUPwFdN9i0CvPRIL3H2LQF2YOADlfYtA0FNj9e19i0AMcJLq9n2LQBDtxd//fYtA5QAB1Qh+i0CIPz3KEX6LQP/efb8afotATN/CtCN+i0BzQAyqLH6LQHYCWp81fotAViWslD5+i0AYqQKKR36LQMGNXX9QfotAUNO8dFl+i0DJeSBqYn6LQC2BiF9rfotAg+n0VHR+i0DMsmVKfX6LQAvd2j+GfotAQV5VNY9+i0BzStMqmH6LQKSXVSChfotA1EXcFap+i0AJVWcLs36LQEXF9gC8fotAhyuv9sR+i0DaXUfszX6LQDrx4+HWfotAruWE199+i0D9bvIwg4SLQDdkWSmMhItAVbzEIZWEi0BadzQanoSLQEiVqBKnhItAIRYhC7CEi0Dr+Z0DuYSLQKdAH/zBhItAWOqk9MqEi0AADTrt04SLQKN8yOXchItAQ09b3uWEi0DkhPLW7oSLQPWd67VehotAwBs7r2eGi0AE/Y6ocIaLQMVB56F5hotACepDm4KGi0DR9aSUi4aLQCJlCo6UhotA+zd0h52Gi0BgbuKApoaLQFUIVXqvhotA3OMfdLiGi0D5RJttwYaLQK8JG2fKhotA/TGfYNOGi0AqTJ+bPJSLQKawt5tFlItADH3Um06Ui0BcsfWbV5SLQJ1NG5xglItAzFFFnGmUi0DwvXOccpSLQAySppx7lItAIM7dnISUi0AzchmdjZSLQEJ+WZ2WlItAU/KdnZ+Ui0BszuadqJSLQIwSNJ6xlItAuEWJnrqUi0DyWd+ew5SLQD3WOZ/MlItAnbqYn9WUi0Chu2Og55SLQErYz6DwlItAFF1AofmUi0AASrWhApWLQBKfLqILlYtASlysohSVi0CugS6jHZWLQD8PtaMmlYtAAQVApC+Vi0D2Ys+kOJWLQCEpY6VBlYtAhVf7pUqVi0AlTcSmU5WLQARMZadclYtAJbMKqGWVi0CKgrSobpWLQBoLRHNLnItAI4hOd1Sci0Cmb117XZyLQKvBcH9mnItAMX6Ig2+ci0A9paSHeJyLQM82xYuBnItA7DLqj4qci0CYmROUk5yLQNJqQZicnItAoKZznKWci0AEkNqgrpyLQAChFaW3nItAmRxVqcCci0DQApmtyZyLQCn0fttmpItAlUWC42+ki0AUBIrreKSLQKsvlvOBpItAW8im+4qki0AozrsDlKSLQBZB1QudpItAJyHzE6aki0Bc0RUcr6SLQLqLPCS4pItAQ2LPLMGki0D79v40yqSLQOP4Mj3TpItAAWhrRdyki0AaQAFuyrWLQN+Li37TtYtASkoaj9y1i0Bie62f5bWLQCUfRbDutYtAmTXhwPe1i0DAvoHRALaLQJ0NJ+IJtotANXzQ8hK2i0CGXX4DHLaLQJcTMhQltotAatroJC62i0ACFKQ1N7aLQF/AY0ZAtotAit8nV0m2i0CAcfBnUraLQEh2vXhbtotA4+2OiWS2i0BTlLaabbaLQJ7xkKt2totAxMFvvH+2i0DLBFPNiLaLQDDH/d+nw4tAC5VW97DDi0AC2rMOusOLQBiWFSbDw4tAUcl7PczDi0Ctc+ZU1cOLQDSVVWzew4tA4i3Jg+fDi0DAPUGb8MOLQM/EvbL5w4tAEcM+ygLEi0CKUNPhC8SLQDo9XfkUxItAKaHrEB7Ei0BXfH4oJ8SLQGU9d2wkxotAjrgIhS3Gi0Cgq56dNsaLQJ8WObY/xotAivnXzkjGi0BpVHvnUcaLQDonIwBbxotABXLPGGTGi0DJNIAxbcaLQI1vNUp2xotATyLvYn/Gi0AVTa17iMaLQOHvb5SRxotAtgo3rZrGi0CYjjLGo8aLQIiZAt+sxotAixzX97XGi0CiF7AQv8aLQLZCuPU2zotA/jZBEkDOi0DJpc4uSc6LQBqPYEtSzotA8/L2Z1vOi0BW0ZGEZM6LQEcqMaFtzotAyf3UvXbOi0DfS33af86LQI0UKveIzotA1VfbE5LOi0C3s8Ewm86LQDzse02kzotAYZ86aq3Oi0Atzf2Gts6LQBUEbwRN1otAScDxJFbWi0CZ+XhFX9aLQAuwBGZo1otAn+OUhnHWi0BalCmnetaLQDzCwseD1otATm1g6IzWi0COlQIJltaLQP86qSmf1otApl1USqjWi0CE/QNrsdaLQJ4r6Iu61otA9sWgrMPWi0CK3V3NzNaLQGdyH+7V1otAb7i2UVTei0CYjSx2Xd6LQHfipppm3otADLclv2/ei0BdC6njeN6LQGnfMAiC3otAODO9LIvei0DJBk5RlN6LQCJa43Wd3otAQC19mqbei0AugBu/r96LQOxM6uO43otAep+RCMLei0DfcT0ty96LQBzE7VHU3otArCT186fli0DcLgYcseWLQB+7G0S65YtAdsk1bMPli0DnWVSUzOWLQHJsd7zV5YtAHgGf5N7li0DpF8sM6OWLQNmw+zTx5YtA8cswXfrli0AzaWqFA+aLQKLFrK0M5otAQWfv1RXmi0AUizb+HuaLQB0xgiYo5otAPPoRQWjmi0BgsoFpceaLQNbs9ZF65otAnKluuoPmi0C76OvijOaLQDOqbQuW5otACe7zM5/mi0A+tH5cqOaLQNb8DYWx5otA03fNrbrmi0A6xWXWw+aLQAqVAv/M5otASuejJ9bmi0BttzO7rO2LQOOyN+e17YtABDNAE7/ti0DRN00/yO2LQFHBXmvR7YtAgc90l9rti0BqYo/D4+2LQAp6ru/s7YtAaGPSG/bti0CEhPpH/+2LQGMqJ3QI7otACNCIoBHui0Bzf77MGu6LQKuz+Pgj7otAsWw3JS3ui0AZrfwnvvWLQMFm+lfH9YtAsaf8h9D1i0DqbwO42fWLQHG/Duji9YtASJYeGOz1i0Bw9DJI9fWLQO/ZS3j+9YtAyEZpqAf2i0D8OovYEPaLQI+2sQga9otAhbncOCP2i0DeQwxpLPaLQJ9VQJk19otAzACpyT72i0BjIeb5R/aLQG/JJypR9otA7PhtWlr2i0AEN1Hgyf2LQH9xRhTT/YtA3jVASNz9i0AihD585f2LQE5cQbDu/YtAZr5I5Pf9i0BuqlQYAf6LQGcgZUwK/otAVCB6gBP+i0A4qpO0HP6LQBe+segl/otA8FvUHC/+i0DNg/tQOP6LQK/CV4VB/otAlv6HuUr+i0CGxLztU/6LQIMU9iFd/otAAZs1EtkFjEBAnyRK4gWMQP8vGILrBYxAQk0QuvQFjEAK9wzy/QWMQF0tDioHBoxAO/ATYhAGjEClPx6aGQaMQKQbLdIiBoxAN4RACiwGjEBkeVhCNQaMQCr7dHo+BoxAkAmWskcGjECXpLvqUAaMQEHM5SJaBoxAkZhEW2MGjECN2XeTbAaMQDanr8t1BoxAjgHsA38GjEAO6cKD4g2MQIpyqb/rDYxAI4uU+/QNjEDbMoQ3/g2MQLJpeHMHDoxAsi9xrxAOjEDahG7rGQ6MQC5pcCcjDoxAsNx2YywOjEBk34GfNQ6MQExxkds+DoxAbJKlF0gOjEDFQr5TUQ6MQFyC249aDoxANlH9y2MOjEBQp0sIbQ6MQLGUdkR2DoxAXRGmgH8OjEBVHdq8iA6MQBt/OHuiFIxAZ150uqsUjEAAz7T5tBSMQOzQ+Ti+FIxAK2RDeMcUjEDBiJG30BSMQLI+5PbZFIxAAIY7NuMUjECuXpd17BSMQL/I97T1FIxAOMRc9P4UjEAa284zCBWMQGf5PHMRFYxAJqmvshoVjEBU6ibyIxWMQExa6mrvFYxA/q/KqvgVjEBvl6/qARaMQJ0QmSoLFoxAjRuHahQWjEA9uHmqHRaMQLbmcOomFoxA+qZsKjAWjEAJ+WxqORaMQOjccapCFoxAmlJ76ksWjEAhWokqVRaMQILzm2peFoxAvh6zqmcWjEDY287qcBaMQNQq7yp6FoxAtbs7a4MWjEB/LmWrjBaMQDIzk+uVFoxA1cnFK58WjEDc0olKshyMQINowY27HIxAGJL90MQcjECeTz4UzhyMQBehg1fXHIxAiYbNmuAcjED0/xve6RyMQF0NbyHzHIxAxK7GZPwcjEAxSyuoBR2MQKMUjOsOHYxAIHLxLhgdjECnY1tyIR2MQCbPz4X2HYxAX6Wnyf8djEDtD4QNCR6MQNYOZVESHoxAHaJKlRsejEDFyTTZJB6MQNCFIx0uHoxARNYWYTcejEAguw6lQB6MQGg0C+lJHoxAIUIMLVMejEBN5BFxXB6MQO4aHLVlHoxACuYq+W4ejECgRT49eB6MQLU5VoGBHoxATkWjxYoejEBqYsQJlB6MQA0U6k2dHoxAPVoUkqYejEAtmvmhEyaMQNhj1OkcJoxAgMSzMSYmjEApvJd5LyaMQNJKgME4JoxAgnBtCUImjEA8LV9RSyaMQACBVZlUJoxA1GtQ4V0mjEC57U8pZyaMQLMGVHFwJoxAxrZcuXkmjEDy/WkBgyaMQD7ce0mMJoxAqVGSkZUmjEA7Xq3ZniaMQPIi/SGoJoxA010harEmjEDgL0qyuiaMQB+Zd/rDJoxAiLU1XhgujEAB9weqIS6MQBXS3vUqLoxAw0a6QTQujEAWVZqNPS6MQAr9ftlGLoxApT5oJVAujEDqGVZxWS6MQN2OSL1iLoxAfZ0/CWwujEDSRTtVdS6MQNuHO6F+LoxAnWNA7YcujEAb2Uk5kS6MQFroV4WaLoxAWJFq0aMujEAcXaMdrS6MQKg5v2m2LoxAAbDftb8ujEAmwAQCyS6MQLQ+Nh26M4xASw7Sa8MzjEBReXK6zDOMQMx/FwnWM4xAviHBV98zjEAqX2+m6DOMQBY4IvXxM4xAgKzZQ/szjEBuvJWSBDSMQONnVuENNIxA464bMBc0jEBukeV+IDSMQIgPtM0pNIxAOCmHHDM0jEB7j2xrPDSMQFjgSLpFNIxA0cwpCU80jEDpVA9YWDSMQI0EDIggNoxA2ADY1yk2jEBcmagnMzaMQB7OfXc8NoxAIZ9Xx0U2jEBmDDYXTzaMQPEVGWdYNoxAxv8Bt2E2jEDoQe4GazaMQFkg31Z0NoxAHJvUpn02jEA2ss72hjaMQKVlzUaQNoxAdLXQlpk2jECfodjmojaMQCwq5TasNoxAHk/2hrU2jEB5EAzXvjaMQDybRyfINoxAcJVmd9E2jEAULIrH2jaMQCtfshfkNoxA5BlTAs47jEBu2e5U1zuMQAs3j6fgO4xAwjI0+uk7jECVzN1M8zuMQIYEjJ/8O4xAmdo+8gU8jEDRTvZEDzyMQDBhspcYPIxAuRFz6iE8jEByYDg9KzyMQFpNApA0PIxAddjQ4j08jEDI8LI1RzyMQFa4iohQPIxAIB5n21k8jEApIkguYzyMQH4cPHU1PoxAGbcIyT4+jECS8NkcSD6MQOzIr3BRPoxAK0CKxFo+jEBTVmkYZD6MQGULTWxtPoxAZV81wHY+jEBXUiIUgD6MQDzkE2iJPoxAGBUKvJI+jEDu5AQQnD6MQMNTBGSlPoxAmGEIuK4+jEBuDhEMuD6MQEtaHmDBPoxANUUwtMo+jEAo62cI1D6MQCsUg1zdPoxAQNyisOY+jEBtQ8cE8D6MQJknMbPSQ4xAtuDFCdxDjECIOl9g5UOMQBM1/bbuQ4xAWdCfDfhDjEBdDEdkAUSMQCTp8roKRIxArWajERREjED/hFhoHUSMQBtEEr8mRIxABKTQFTBEjEC/mZdsOUSMQEw7X8NCRIxAsn0rGkxEjEDxYPxwVUSMQObPinVxRIxAqzZuzHpEjEBYPlYjhESMQPDmQnqNRIxAeTA00ZZEjED1GioooESMQGamJH+pRIxAztIj1rJEjEA1oCctvESMQJgOMITFRIxA/R09285EjEBnzk4y2ESMQNkfZYnhRIxAVfaK4OpEjEDfiao39ESMQHu+zo79RIxAKpT35QZFjEC2amAsO0aMQCmsJoRERoxAG4/x201GjECPE8EzV0aMQIc5lYtgRoxACQFu42lGjEAUaks7c0aMQK90LZN8RoxA3CAU64VGjECdbv9Cj0aMQPZd75qYRoxA6LDk8qFGjEB4491Kq0aMQKq326K0RoxAfy3e+r1GjED7ROVSx0aMQCL+8KrQRoxA9FgBA9pGjEB3WkZb40aMQK34X7PsRoxAmDh+C/ZGjEA+GqFj/0aMQMzQLL5pToxASYwBGnNOjED069p1fE6MQM3vuNGFToxA3JebLY9OjEAi5IKJmE6MQKLUbuWhToxAXWlfQatOjEBZolSdtE6MQJl/Tvm9ToxAHQFNVcdOjEDsJlCx0E6MQAbxVw3aToxAcF9kaeNOjEAsZqXF7E6MQD0duyH2ToxAqXjVff9OjEBvePTZCE+MQMZTQV52VoxAe0cUvn9WjEAC4usdiVaMQF0jyH2SVoxAkgup3ZtWjECgmo49pVaMQIvQeJ2uVoxAWa1n/bdWjEALMVtdwVaMQKRbU73KVoxAJy1QHdRWjECXgX593VaMQPmghN3mVoxATWePPfBWjECZ1J6d+VaMQKyPj5b5XYxA3xQd+gJejEBeQ69dDF6MQCobRsEVXoxARpzhJB9ejEC1xoGIKF6MQHuaJuwxXoxAlhfQTztejEARPn6zRF6MQOnMtRdOXoxAI0Zte1dejEDDaCnfYF6MQMs06kJqXoxAGI9duQd0jEC/U+AnEXSMQPHIZ5YadIxAsu7zBCR0jEAGxYRzLXSMQO5LGuI2dIxAboO0UEB0jECLa1O/SXSMQEYE9y1TdIxAok2fnFx0jECiR0wLZnSMQEry/XlvdIxAnE206Hh0jECeWW9XgnSMQFAWL8aLdIxAt4wjNZV0jEDVquyjnnSMQK15uhKodIxAQvmMgbF0jEDWyIWGEXyMQAcECPkafIxAbPKOayR8jEAHlBreLXyMQNnoqlA3fIxA6fA/w0B8jEA2rNk1SnyMQMUaeKhTfIxAmjwbG118jEC5EcONZnyMQCKabwBwfIxA2dUgc3l8jEDhxNblgnyMQECSwViMfIxA9ueAy5V8jEAH8UQ+n3yMQHatDbGofIxAO0UuvB6EjEC6ObIyKISMQBTkOqkxhIxAS0TIHzuEjEBlWlqWRISMQGIm8QxOhIxASaiMg1eEjEAZ4Cz6YISMQNbN0XBqhIxAhHF753OEjEAnyylefYSMQMLa3NSGhIxAVqCUS5CEjEDoOV3CmYSMQHprHjmjhIxAEFPkr6yEjECt8K4mtoSMQEgrb8UwhoxAgfr6PDqGjEBFgIu0Q4aMQJa8ICxNhoxAd6+6o1aGjEDtWFkbYIaMQPm4/JJphoxAnc+kCnOGjEDgnFGCfIaMQMCqY/qFhoxAReUZco+GjEBx1tTpmIaMQEd+lGGihoxACZRWNFeWjECez+2zYJaMQBLHiTNqloxAbXoqs3OWjECu6c8yfZaMQN0UerKGloxA+vsoMpCWjEAIn9yxmZaMQAr+lDGjloxABSmbsayWjED8/1wxtpaMQPGSI7G/loxA4+HuMMmWjEBupuODc6KMQJ6vhAl9ooxAsngqj4aijECyAdUUkKKMQJtKhJqZooxAdFM4IKOijEBAHPGlrKKMQAClriu2ooxAuu1wsb+ijEBu9jc3yaKMQCS/A73SooxA2QLdQtyijECUS7LI5aKMQFdUjE7vooxAJx1r1PiijEBh+o5z8KOMQBEJ7vn5o4xAJthRgAOkjEChZ7oGDaSMQIa3J40WpIxA2ceZEyCkjECemBCaKaSMQNUpjCAzpIxAhXsMpzykjECtjZEtRqSMQFKeKLRPpIxAeDG3OlmkjEAjhUrBYqSMQFCZ4kdspIxAiYO/EiymjECFvzuaNaaMQKG8vCE/poxA4npCqUimjEBO+swwUqaMQOE6XLhbpoxApTzwP2WmjECa/4jHbqaMQMKDJk94poxAJAnj1oGmjEDAD4pei6aMQJrXNeaUpoxAtWDmbZ6mjEA4O7V8h6qMQHoPXgaRqoxAT6YLkJqqjEC9/70ZpKqMQMQbdaOtqoxAafowLbeqjECvm/G2wKqMQJj/tkDKqoxAKSaBytOqjEBjD1BU3aqMQEy7I97mqoxA5HgsaPCqjEAxqgny+aqMQDSe63sDq4xA8FTSBQ2rjECmO8DFi7KMQByXaVOVsoxA0rcX4Z6yjEDIncpuqLKMQANJgvyxsoxAhbk+iruyjEBR7/8XxbKMQGzqxaXOsoxA16qQM9iyjECXMGDB4bKMQK97NE/rsoxAH4wN3fSyjEDvYetq/rKMQCD14PgHs4xAtFXIhhGzjECve7QUG7OMQBZnpaIks4xA8/WZEbi1jEBM+9igwbWMQPHGHDDLtYxA5Vhlv9S1jEArsbJO3rWMQMbPBN7ntYxAu7RbbfG1jEAMYLf8+rWMQLzRF4wEtoxAzQl9Gw62jEBGCOeqF7aMQCbNVTohtoxAbljJySq2jEAqnV5ZNLaMQFm12+g9toxA+5NdeEe2jEAWOeQHUbaMQPz+K2yTuoxAKx/Y/Zy6jEBDB4mPprqMQEe3PiGwuoxAPS/5srm6jEAlb7hEw7qMQAR3fNbMuoxA3EZFaNa6jECx3hL637qMQIc+5YvpuoxAYWa8HfO6jEBAK9yv/LqMQCfjvEEGu4xAHmOi0w+7jEAiq4xlGbuMQJ2t3v/WxYxAEQ4sl+DFjEAyOn4u6sWMQP4x1cXzxYxAfvUwXf3FjECwhJH0BsaMQJnf9osQxoxAOgZhIxrGjECc+M+6I8aMQLy2Q1ItxoxAo0C86TbGjEBOljmBQMaMQMS3uxhKxoxACKVCsFPGjEAbjP5HXcaMQAMRj99mxoxAwmEkd3DGjEBdfr4OesaMQDqcTMHmzYxAOyiiXPDNjECVgvz3+c2MQE2rW5MDzoxAZaK/Lg3OjEDkZyjKFs6MQMj7lWUgzoxAF14IASrOjEDUjn+cM86MQAOO+zc9zoxApFt800bOjEC+9wFvUM6MQFK6uwpazoxAZPNKpmPOjED4+t5Bbc6MQA7Rd912zoxA45nWp+bVjEA48ixH8NWMQJUbiOb51YxA+xXohQPWjEBu4UwlDdaMQPF9tsQW1oxAh+skZCDWjEA0V5kDKtaMQPpmEaMz1oxA3UeOQj3WjEDg+Q/iRtaMQAV9loFQ1oxAUtEhIVrWjEDI9rHAY9aMQGztRmBt1oxAP7Xg/3bWjEBHY6+fgNaMQITNUj+K1oxA+gj73pPWjECvFah+ndaMQPrcryr93YxAvuISzgbejEA9vHpxEN6MQH1p5xQa3oxAfepYuCPejEBBP89bLd6MQMxnSv823oxAIWTKokDejEBENE9GSt6MQDnY2OlT3oxAA1BnjV3ejEChm/owZ96MQBu7ktRw3oxAc64veHrejECtddEbhN6MQMvml7+N3oxA0VVDY5fejEDBmPMGod6MQJ+vqKqq3oxANV6+1GnjjECM/th6c+OMQG50+CB944xA378cx4bjjEDc4EVtkOOMQHPXcxOa44xAoKOmuaPjjEBpRd5freOMQNC8Gga344xA2btsrMDjjECI3rJSyuOMQN7W/fjT44xA36RNn93jjEBwNyEVF+aMQK0wk7wg5oxAWwAKZCrmjEB8poULNOaMQBQjBrM95oxAJ3aLWkfmjECynxUCUeaMQMOfpKla5oxAVnY4UWTmjEBwI9H4beaMQBanbqB35oxASAERSIHmjEAKMrjviuaMQGE5ZJeU5oxAUBcVP57mjEDX2/rmp+aMQP1mtY6x5oxAxMh0NrvmjEAvATnexOaMQKuHHBIh7oxAtgmWvSrujEDkZBRpNO6MQDaZlxQ+7oxAsKYfwEfujEBXjaxrUe6MQCtNPhdb7oxAMubUwmTujEBtWHBubu6MQOGjEBp47oxAkci1xYHujEB/xl9xi+6MQLCdDh2V7oxAI07CyJ7ujEDjc6t0qO6MQOzWaCCy7oxARhMrzLvujED0KPJ3xe6MQNDuSmou9oxACDjOGTj2jEAUXVbJQfaMQPhd43hL9oxAuTp1KFX2jEBZ8wvYXvaMQNuHp4do9oxAQfhHN3L2jECQRO3me/aMQMxsl5aF9oxA9XBGRo/2jEASUfr1mPaMQCQNs6Wi9oxAL6VwVaz2jEA1GTMFtvaMQDt0KrW/9oxAQ6D2ZMn2jEBQqMcU0/aMQGiMncTc9oxASyoZ00j+jEAoWa2GUv6MQJNmRjpc/oxAjlLk7WX+jEAdHYehb/6MQETGLlV5/oxABE7bCIP+jEBitIy8jP6MQGH5QnCW/oxABR3+I6D+jEBRH77Xqf6MQEYAg4uz/oxA679MP73+jEA/7Evzxv6MQElpH6fQ/oxACsX3Wtr+jECH/9QO5P6MQIvNV+tcBo1AuEf6omYGjUAro6FacAaNQObfTRJ6Bo1A7v3+yYMGjUBB/bSBjQaNQOfdbzmXBo1A4Z8v8aAGjUAzQ/SoqgaNQOLHvWC0Bo1A7y2MGL4GjUBcdV/QxwaNQDCeN4jRBo1AbLJEQNsGjUAUnib45AaNQCprDbDuBo1AtBn5Z/gGjUCgHbyoag6NQDtCamR0Do1Az0odIH4OjUBhN9Xbhw6NQPAHkpeRDo1Ah7xTU5sOjUAmVRoPpQ6NQM3R5cquDo1AhTK2hrgOjUBMd4tCwg6NQCegZf7LDo1AGq1EutUOjUApIll23w6NQFX3QTLpDo1Ao7Av7vIOjUAVTiKq/A6NQCj6tsB7Fo1AZQhzgIUWjUBT/TNAjxaNQPbY+f+YFo1AUpvEv6IWjUBnRJR/rBaNQD7UaD+2Fo1A1UpC/78WjUAyqCC/yRaNQFfsA3/TFo1ASBfsPt0WjUAKKdn+5haNQJghy77wFo1AAiHyfvoWjUBE5+0+BBeNQGKU7v4NF41AYCj0vhcXjUBEgiQ1kB6NQOi68PiZHo1A99zBvKMejUB06JeArR6NQGPdckS3Ho1AxbtSCMEejUChgzfMyh6NQPc0IZDUHo1Azs8PVN4ejUAmVAMY6B6NQATC+9vxHo1Aa/gioPsejUBdOSVkBR+NQN5jLCgPH41A83c47Bgf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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/neg_peak.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,1967 @@ +"name" "mz" "01_sample" "02_sample" "03_sample" "04_sample" "05_sample" "06_sample" "07_sample" "08_sample" "09_sample" "10_sample" "23_pool" "24_pool" "71_blank" "72_blank" +"FA(11:0)_[M-H]1-" 185.1547 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"FA(12:1)_[M-H]1-" 197.1547 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"FA(12:0)_[M-H]1-" 199.1704 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"OCT(C12H18O3)_jasmonic acid_[M-H]1-" 209.1183 0 628.118028113463 399.391500700219 733.599018452696 598.238854405588 560.336192114382 438.645460611649 812.656348361922 766.42874234515 713.57185483439 168.983864524148 0 0 235.148695406283 +"OCT(C12H20O3)_dihydrojasmonic_acid_[M-H]1-" 211.134 2252.57266925958 3758.45205754615 4931.63072050648 5339.64987975823 6441.88810139065 5592.05837422717 5765.3259818003 7558.96848701836 5884.08716273347 5765.37664467939 6427.27214369751 1645.97790772714 3186.03581609581 4411.79708646443 +"FA(13:0)_[M-H]1-" 213.186 27660.9663084848 32353.9481304451 44616.1066868312 51628.8660229489 54010.1223464417 52171.461803196 49310.1845792284 58695.8080898148 49228.4687160952 44517.5791429709 26985.830317276 13712.905097603 26972.1202748775 31210.4123176799 +"FA(12:0)-OH_[M-H]1-" 215.1653 417.580801564783 128.804600694444 358.154344115149 688.722097174602 716.536901523497 787.516931826322 620.002852605381 429.272945452066 787.760815889402 1130.80152975799 931.09048933516 0 105.969227430556 145.917314009233 +"OCT(C13H20O3)_methyl_jasmonate_[M-H]1-" 223.134 225.812744140625 709.296425214795 862.976443205085 1054.03369631109 1105.87659531888 1152.68005871118 751.611002458643 818.300346601022 1267.35213910111 1235.7746737489 1495.18306280906 1817.91265103338 147.854427083333 1283.68244599139 +"OCT(C12H18O4)_[M-H]1-" 225.1132 700.792645937038 1203.49387155977 2033.6031309463 2753.73481117223 2073.19857222626 2778.23097982856 2397.86809673191 2308.59697095153 2398.53528024145 3038.23239261256 1641.50815318295 649.257917710935 1901.68215774239 2058.43596718971 +"FA(14:1)_[M-H]1-" 225.186 395.829005848403 1387.36424217029 4749.35997049883 4036.99202735011 6414.27072164915 2341.90220833068 7101.13228997329 3912.53989443481 5000.1872161486 4844.51168270062 6565.97942073918 1393.24543089714 970.01577241669 150.397727272727 +"OCT(C12H20O4)_[M-H]1-" 227.1289 29853.7491754522 17026.5740970555 6611.32120337495 4082.93897733068 3141.7011209329 4907.54188245808 4540.21984988856 5099.12742086016 3168.31634772087 4903.62701280992 26950.7957208627 44490.9489080948 2831.47471012573 15047.6488672871 +"FA(14:0)_[M-H]1-" 227.2017 151880.501895358 205525.627196281 255990.346888162 264062.744665061 223173.57965335 227663.778590559 350801.714828826 292754.907960433 270881.092264059 242662.474402078 416537.247918579 113397.152964258 404131.722924704 187689.375599148 +"OCT(C14H22O3)_[M-H]1-" 237.1496 440.606202906534 328.431484577058 509.395128523103 320.63467485678 502.071542320231 566.772960747664 394.519961104521 1025.11900384104 769.675576147317 775.511567440521 373.539703934901 0 858.436102605024 139.032049005682 +"OCT(C14H24O3)_[M-H]1-" 239.1653 541.893969437536 355.272719355706 544.54062048493 543.460811792935 763.98869826817 815.089444567283 585.351147774044 693.311582356081 685.013285678231 792.060760198382 430.898809925421 0 462.555803937969 121.570057262074 +"FA(15:1)_[M-H]1-" 239.2017 96.7531294389205 1064.61282073586 2580.26543314391 2248.78847381898 1928.38015569599 1537.69488775038 3392.46236752358 2508.57509283122 2487.17232230135 1969.53833609784 8212.10926493533 722.736231870437 831.624305574576 906.769051466388 +"FA(15:0)_[M-H]1-" 241.2173 52532.7859686096 67013.0062223757 87579.6155258057 96283.8825315299 86973.5271859142 99105.9427904263 125684.834079619 122525.82448259 99178.6263625616 92936.3697944747 252689.916662054 43210.0125475832 127885.997814218 58513.7453653718 +"FA(14:0)-OH_[M-H]1-" 243.1966 0 86.048583984375 202.785227408335 313.983613769785 410.522862117464 733.622652027023 590.208088585823 272.432243210667 455.095520359461 519.205090546142 441.727364104582 0 439.835422514242 273.738203668904 +"FA(16:3)_[M-H]1-" 249.186 0 83.2477701822917 99.4444353916541 171.897065661316 162.958315733601 98.5052905454141 0 0 33.5565621512277 74.8265112900574 0 0 0 0 +"FA(16:2)_[M-H]1-" 251.2017 0 121.707096354167 189.773481078219 444.214091578151 557.216281461351 106.799548304141 623.347635824671 411.541546452417 396.116780655883 199.932195918883 1119.98793475394 247.61572265625 160.865928819444 0 +"FA(16:1)_[M-H]1-" 253.2173 29412.9940083499 38527.4587859461 54642.1655933457 51676.8274396246 116467.870846162 33175.886138737 89374.3325088471 101664.820081301 98936.2614257485 40512.6734504113 416677.81106481 56719.5204273164 57498.8929290027 11153.6633371955 +"FA(16:0)_[M-H]1-" 255.233 4421980.2222402 3645984.61257945 2990496.01657342 2466331.81448924 3019208.7363379 2752468.05326186 3632977.03101634 5797867.58975815 3275853.03436471 2290281.08030592 7988614.78640313 5565076.28125734 10152096.0316398 3218990.31504145 +"FA(15:0)-OH_[M-H]1-" 257.2122 0 0 202.291979002436 481.530357610052 131.159457695972 895.584515740233 316.7407537562 500.218131912098 330.997633322514 1030.86162551231 1113.94391241297 387.090953480114 584.963436383738 0 +"OCT(C16H26O3)_[M-H]1-" 265.1809 3419.67887192252 6531.19842682056 9284.42015436287 9159.2423420557 5750.67904135784 7251.63176633325 10552.1272757039 8157.97443688548 14489.1936616636 9373.76671593625 15368.7194096529 1281.8411408429 5240.49128490497 4702.75930745457 +"FA(17:2)_[M-H]1-" 265.2173 0 0 0 42.9961079442224 0 0 127.46508445977 83.9169297329215 0 83.2557567317027 0 0 0 0 +"OCT(C16H28O3)_[M-H]1-" 267.1966 0 181.581239149306 127.38681320448 158.743646064708 278.114833077886 309.245878027975 89.3025726456441 814.085932666305 82.2774116898969 222.808925105949 444.068760825816 0 174.410243055556 0 +"FA(17:1)_[M-H]1-" 267.233 1399.29838887441 4689.98505092745 5182.48489878825 6388.2341654605 5316.67402589991 4731.33692573661 10676.977962885 14549.8922361675 8399.52794259108 5394.50060414045 65017.7209779111 2497.47424172959 10200.036010354 2412.09686044026 +"2H-IS_FA_15_[M-H]1-" 268.3884 0 2336.17305374765 6873.86360379541 6783.24040818042 5817.56618924719 6669.16306153831 7001.82276847741 8909.49406066189 9115.2318937988 8157.73513402148 788.411708172831 0 3652.07087828643 5170.73837683134 +"FA(16:1)-OH_[M-H]1-" 269.2122 8886.86826041591 10802.3595439701 9220.06453728266 8720.87800655844 11607.550541971 13077.4108425909 11136.6481677823 18242.8652232272 10099.2851518547 10059.0486187734 27255.566476099 10646.4024816632 23767.2281878549 9617.23405428994 +"FA(17:0)_[M-H]1-" 269.2486 55432.1717068916 63827.1348124164 54633.2892080901 65671.2208306679 54672.4875351849 68523.807911351 82287.6991456604 84195.5219486563 70368.0812028544 62535.4341781261 231391.094851798 76314.4788758209 134145.061936951 61495.7997108025 +"2H-IS_FA_15_[M-H]1-" 269.3944 48079.4025547425 71013.0125011987 132996.744094146 123841.519834369 105937.088352041 120737.377666333 115780.051995652 166431.315566947 159030.581704976 156219.545814822 53525.3201609199 30527.3149196532 93522.862477652 117514.824497793 +"2H-IS_FA_15_[M-H]1-" 270.4003 310547.016183278 470021.252134981 649886.833900971 607981.966681114 505567.765437162 600054.750071887 580844.309817961 815181.733812296 760381.996502375 750279.849194319 377901.854954132 176339.217502911 573939.171112356 706334.508480387 +"FA(16:0)-OH_[M-H]1-" 271.2279 6630.28535595168 9242.32754657421 6848.07949497943 5958.26302294386 6355.33305525407 8820.94918330006 9749.51429799726 10526.4940634994 5728.70306940677 7095.84182294432 39867.3061145019 16258.6237610753 34864.3356811337 7064.54108438731 +"2H-IS_FA_15_[M-H]1-" 271.4036 31377.0664140291 44599.9030786577 85644.3066924234 82582.9154974011 74382.8558955591 81207.7620844646 74286.9656968702 111877.447701367 109533.84581841 106208.96625136 34847.3462115755 14839.6764760012 60545.8565600314 69189.0645721048 +"2H-IS_FA_15_[M-H]1-" 272.4068 0 198.22836709909 2084.22464436338 2619.08725013979 2317.12430767289 2104.66718610069 2258.3913332787 3142.30621280748 4062.93641657566 4052.35628837713 278.274502840909 0 551.525946876966 531.636776998934 +"FA(18:4)_[M-H]1-" 275.2017 446.191716974432 2316.10307330171 153.875117896176 81.272500058174 58.0966369628906 312.206064338172 319.990722737357 1913.79425751559 94.1681354540546 26.276358468192 623.08344482571 0 0 0 +"FA(18:3)_[M-H]1-" 277.2173 27633.6083525556 25115.0483657401 13796.5003043959 78698.1627228203 14893.1849754892 21865.8298959594 39967.6448903282 9422.26896799657 15552.3590101059 11711.1378267723 60757.6810067267 52265.4897714113 0 9189.22151901794 +"FA(18:2)_[M-H]1-" 279.233 550846.610570517 510213.756314446 415051.566625399 441360.977760018 219030.431954664 262655.458739916 475427.212258697 197637.71735103 325636.774340925 152646.446666756 1431241.84275236 1366711.66401507 23489.1570259029 228565.355689193 +"FA(18:1)_[M-H]1-" 281.2486 1303633.045145 1126899.133796 688681.418206041 1110084.72478664 973592.145576394 583938.363660555 766101.186695369 1285488.5375119 959990.525249567 452175.493647294 2932508.50645805 2411982.78601611 861047.415406045 572688.871181467 +"FA(18:0)_[M-H]1-" 283.2643 2717332.42966209 2430196.21436903 1945665.1641436 1822234.14501331 2607505.03343628 1800219.65710773 2242575.20673454 3926981.93476163 2143616.38589721 1841103.60051103 3983181.28424339 3037528.96984863 8752822.42185126 2657714.698537 +"FA(17:0)-OH_[M-H]1-" 285.2435 0 0 41.6196090343387 47.1917667832485 0 174.145225360324 222.125925179167 224.989866670092 0 114.253025612385 906.298891188042 0 626.411791016509 0 +"OCT(C18H24O3)_[M-H]1-" 287.1653 0 0 0 22.5728554572488 0 34.0713682142281 60.3924600669648 0 2.00098162363591 114.834830461763 266.173694957386 396.703346946023 0 0 +"OCT(C18H26O3)_[M-H]1-" 289.1809 726.564212913916 83.7931260850694 41.3045868914497 14.8346261829173 8.37508750375809 43.7170584542411 8.21875347270277 7.66442983358583 36.6965971447173 88.143418720372 0 0 0 200.832386363636 +"OCT(C18H28O3)_[M-H]1-" 291.1966 0 0 33.7883237301914 95.6573034186266 249.374208000667 10469.6600697537 73.5335231864933 25.8791553268022 64.0342685635459 104.41065552289 12863.9920981467 0 246873.974026126 129.677368164062 +"OCT(C18H30O3)_[M-H]1-" 293.2122 1820.91429351747 590.715188567593 841.840671908211 808.784025323836 235.631079608145 1270.67036733529 6687.4771420946 2093.76999336363 1421.07150021314 1176.7355833806 14990.0735258452 6731.78343931243 56500.6943576418 1983.65066122451 +"FA(18:2)-OH_[M-H]1-" 295.2279 3723.63089843788 2375.62366569878 2781.97651202205 1960.65944062674 1830.26213862188 2369.85168198319 3943.59321760594 6386.91285905212 1643.02552126506 2692.42196129932 85803.8332043279 45090.2580446545 6282.73257698261 2482.96278943577 +"FA(19:1)_[M-H]1-" 295.2643 12729.7676793391 9101.11451656066 3101.91605622983 1752.09434778849 1907.0769285504 2541.65205259599 2682.62561131474 3908.53156281374 2483.78669246513 1531.60464768415 23780.262209356 19607.141529201 763.156404842321 6960.33382648541 +"FA(18:1)-OH_[M-H]1-" 297.2435 20984.3154699085 17931.5995274756 12630.2464223764 10657.5243548892 14807.9545321571 15981.6526978368 14225.2866043746 25379.1370326843 12681.1094223885 13494.1907816005 52272.0815943233 26004.0837393514 37574.2712981005 16062.6336336833 +"FA(19:0)_[M-H]1-" 297.2799 5593.98662890122 9075.25511532815 6183.07349295754 6909.3671953685 4603.58371546296 7965.32881180504 8124.36713180274 9263.98725823534 6364.29375945642 7356.65057292078 22455.8882474414 6949.86639304156 20502.6786024914 8891.86747258592 +"FA(18:0)-OH_[M-H]1-" 299.2592 5675.33925341679 5676.40359879627 4470.86704114369 5321.37564981125 4836.92655154138 8485.39317972491 7522.29802747592 7428.93409761144 5033.27723742379 11329.4091708292 23974.1438372466 9856.18642246515 23138.9600353528 3699.22026700947 +"2H-IS_FA_17_[M-H]1-" 300.4443 1093.00937676821 4521.97902857351 12053.2537409187 10101.1717629157 9050.57466246914 10121.6256663287 10189.1452941356 15528.0989372082 15058.0385329905 13913.431609768 2924.76023207263 0 8873.27253911448 9144.17572483175 +"FA(20:5)_[M-H]1-" 301.2173 18634.4843695163 24036.0388288849 4021.95302420104 4499.1283992219 1690.83376562061 3566.2173859879 2723.66083209978 4671.42739083517 3145.9166447795 9713.56845429393 53263.4382574437 45005.7366203893 1602.70842555232 10056.6835389402 +"2H-IS_FA_17_[M-H]1-" 301.4504 61677.0708592852 85804.0616675349 157481.09657131 146667.146831019 130648.307150511 146633.081810721 140787.787532743 206208.774602905 196580.736652081 183974.091285257 67834.968048537 34776.9142954118 113032.891091347 132476.696915722 +"2H-IS_FA_17_[M-H]1-" 302.4562 286563.151242475 434326.131351158 642255.18976603 585586.144817596 504071.658583662 592197.966107483 569125.489665693 821865.624718438 749934.190497421 718056.063468983 348811.857655339 168372.860730664 547470.480089465 656705.68620091 +"FA(20:4)_[M-H]1-" 303.233 1294.32261085356 10371.2553744225 14179.833126569 12831.7709508728 9199.57346493773 4334.06622963804 11036.6892609487 8771.48821624504 13092.7650171198 7112.04389702929 199221.928685389 103045.745093211 293.890582951137 0 +"2H-IS_FA_17_[M-H]1-" 303.4596 36668.3786435935 51128.4192471819 87446.9171276411 82608.7405654405 79575.3140368994 86690.3989023082 75747.0049100446 118670.468292189 119277.114234428 110130.59908385 40376.1595824321 16850.5422110485 63318.9778363888 75356.6319767423 +"2H-IS_FA_17_[M-H]1-" 304.463 0 321.74938644736 2732.06967324967 2881.35191599727 2237.60652830146 2413.98447058556 2068.48309885887 3612.12669140099 3798.39196232808 3168.895403361 0 0 846.94019023024 770.565040178359 +"FA(20:3)_[M-H]1-" 305.2486 41722.9440516461 24302.7873793673 8469.95212987588 2662.16389038701 2184.23973829603 6263.72369488937 2799.27986509153 2720.25321858456 3293.29784296502 1547.28439788323 76106.1945430414 103511.863539882 0 22071.1613731211 +"FA(20:2)_[M-H]1-" 307.2643 3816.79344479487 5891.14414192325 3912.04827514211 1843.54008771408 1586.52739619976 1590.8551071899 2696.73509639929 624.196142310227 1608.85596705784 677.032275003966 22174.5542073077 11928.4232750525 0 1787.47120466578 +"OCT(C18H30O4)_[M-H]1-" 309.2071 13.986284693168 1109.21512075638 1326.98392502846 2288.7465981088 1006.16095251155 2378.71992705473 974.405645330169 2698.76807118706 1714.48340510139 2070.03254508147 1842.62498811923 594.200772372159 422.628767264547 405.910905136055 +"FA(20:1)_[M-H]1-" 309.2799 11687.1314601828 19322.4786559085 5286.94841305365 8002.15523517853 4881.52322380864 5282.99196669301 4828.60928300136 8784.60058864892 5058.12059651542 2379.86262538083 43337.5160097887 23711.9952194368 4692.29166908238 5906.12109389444 +"OCT(C18H32O4)_[M-H]1-" 311.2228 2344.65961697357 2153.20352182609 2017.8653088853 2645.25099331747 964.800505327036 3556.36095486211 2633.03305533309 2578.77828440367 1061.23858174802 2814.30125258058 14389.6143839261 4153.67073557268 2308.11418786712 3859.41425926785 +"FA(20:0)_[M-H]1-" 311.2956 28508.9736105837 35743.5816253598 22909.1013508104 29343.3322563931 24234.6247613389 30545.7798583554 35146.1888246038 46562.5456162974 30115.7944832512 33006.8819333773 68631.8388238688 33876.1537075129 162404.035778956 37157.7526608498 +"OCT(C18H34O4)_[M-H]1-" 313.2384 6390.96387962763 6696.3223506962 4694.16322412585 5282.64357323088 3964.76782188499 6629.29381386955 6146.85875346912 7865.15512794121 4724.18360710905 6508.46537984114 23347.3480344913 5898.75022180229 9288.62546795061 5980.71871715218 +"EIC(C20H28O3)_[M-H]1-" 315.1966 0 232.355707465278 59.5433746029062 288.34276628612 28.55949412724 1402.80776637479 234.627146567741 96.7242417150617 115.611621359735 533.498267618024 338.768132990057 816.372065052303 8.85123091485259 423.628573335475 +"EIC(C18H36O4)_[M-H]1-" 315.2541 51261.854064463 33700.1309484528 27435.5768285988 26238.7557325604 9085.23809631911 24194.2733201651 38432.0112740212 63488.8686726751 30717.1515147814 30682.3141301881 93735.1027794242 75356.2234592837 133086.021964565 30626.3911074039 +"EIC(C20H30O3)_[M-H]1-" 317.2122 0 0 58.5866245003634 36.8943495639535 36.1884887695312 54.2799677220262 964.892125204332 2.92167828960552 65.7059696677431 98.5141285801294 12220.9562655364 2742.71261218494 5.68829445997463 17.4322540253585 +"EIC(C20H32O3)_[M-H]1-" 319.2279 11012.1128131612 6157.89472196274 963.488326233945 195.089629507621 112.234436370021 3289.25648179796 1531.55320134162 8289.32589901559 234.661393433118 46.2050984700521 79833.2529297523 70668.7582823559 303067.188886336 7716.22383145996 +"EIC(C20H33O3)_[M-H]1-" 320.2357 0 307.927066298813 0 47.5622956031977 0 37.8794730050223 2581.69815226338 236.88358331385 257.937790006813 67.9683024088542 9492.43596522326 5244.12205425642 37233.9979708388 194.441139914773 +"EIC(C2OH3O5)_[M-H]1-" 321.9908 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"OCT(C18H28O5)_[M-H]1-" 323.1864 293.500133167614 3355.53538957768 315.237925594096 567.317121019436 559.665835989858 2921.57195162861 372.266426743709 970.943873503045 288.128074523644 1073.61863097972 68960.7647860694 503.878817471591 37897.875857747 1030.87374999891 +"EIC(C20H36O3)_[M-H]1-" 323.2592 0 0 102.753236282703 136.627279781031 0 308.419469062292 40.5947152071221 277.88793342057 0 100.567546870852 0 0 182.480013020833 0 +"OCT(C18H30O5)_[M-H]1-" 325.202 1925.9241123627 1953.64446461132 1701.01350385496 2759.3621389531 1058.76889333704 3060.63032624345 3945.57161508176 2732.8113282399 1801.3829649921 2733.01884557828 5111.06891471792 3604.07917291507 1671.19393003048 1712.13822090647 +"FA(20:1)-OH_[M-H]1-" 325.2748 0 0 102.314475835756 380.274854441608 69.6802387667955 451.992376665525 0 436.303583527896 191.705310154307 572.224121191814 565.709810368116 0 395.01561635688 0 +"FA(21:0)_[M-H]1-" 325.3112 530.072665127841 4454.80675249187 3108.51795582211 3258.05755832524 1949.13631284374 5808.57444352383 4103.62477746773 5666.55820946331 3064.48667473764 4532.1705552015 14855.1576943965 902.311342912333 13435.508824894 2725.42277863862 +"EIC(C16H24O7)_[M-H]1-" 327.1449 12791.9558279416 11967.5466258805 7777.0798272469 8735.82283639031 3405.66729064901 6959.0688402179 7474.36052017397 6542.10959526852 4320.91028269776 6923.60512116059 14100.9119986944 15537.6033523047 7808.36336788156 14605.7458201888 +"OCT(C18H32O5)_[M-H]1-" 327.2177 978.052090526461 2055.57937346736 1573.84675192469 2052.89105067381 830.344332916723 2290.3159538902 2052.48846305428 2793.29858477031 1560.74551399421 2592.67459328409 5281.58273686114 2931.49391891681 1542.84698647267 2576.00534104224 +"FA(22:6)_[M-H]1-" 327.233 0 31011.2572584136 8234.69766007878 4888.45126739455 2931.94313819975 1163.02899873399 7859.21530100249 6745.84981284165 7014.62281362762 3686.7887180575 38851.1762945057 17078.355172596 180.834595096738 12.3880772766413 +"FA(20:0)-OH_[M-H]1-" 327.2905 367.019220525568 0 50.835699037064 81.4809740643169 44.7660369873047 199.247243629086 227.255966924936 0 117.444684666238 212.850680993249 0 550.336159446023 145.712814670139 0 +"EIC(C16H26O7)_[M-H]1-" 329.1606 4465.06609414511 7571.73768869084 5638.56872692367 7013.3893123846 1902.82732532468 5500.46443233064 5178.23707994315 5748.041421668 3572.0292554679 5646.59821132544 8828.72663990272 4989.81425323618 4607.37651774772 8593.73632945716 +"OCT(C18H34O5)_[M-H]1-" 329.2333 749.594859584293 2065.78720254582 1682.69887243322 2557.70830759709 891.77708075139 2531.43267796108 3021.71615680551 3741.40115674122 1608.60471471869 3524.21055215807 6718.53530578533 486.790660511364 1861.95669922446 1396.42797292914 +"FA(22:5)_[M-H]1-" 329.2486 0 293.522288369624 117.430709484012 1734.65861075006 321.917772818219 92.1619877084987 431.492217827649 231.040407153028 527.146320722758 561.518274048271 4615.02536473219 0 49.5449605723126 0 +"EIC(C20H28O4)_[M-H]1-" 331.1915 0 114.790590040672 144.408116704324 342.898566050383 23.4316000109299 190.804630527484 308.863421104609 18.545326044903 210.772596621427 361.298590781256 19.9738469823607 0 1.71698240829734 0 +"OCT(C18H36O5)_[M-H]1-" 331.249 0 261.98984375 181.088341023623 316.178702088833 40.6580967383522 546.703176103059 389.818161880805 333.716495405803 285.386151120003 778.331523768268 404.2470703125 0 3034.01791947036 131.04667524858 +"FA(22:4)_[M-H]1-" 331.2643 0 257.024652777778 92.9064089752907 229.826879044631 456.645179162577 316.477514642366 290.489532393231 8344.39359206416 648.679159251044 1039.60956775307 1205.221432042 0 5599.65650993258 0 +"EIC(C20H30O4)_[M-H]1-" 333.2071 0 0 3.22956010603913 45.7866302503313 251.612110416117 597.595009742694 64.7022903797238 76.4052591193696 1.86210718242934 120.60920677583 425.849165482955 0 0 241.570179332386 +"FA(22:3)_[M-H]1-" 333.2799 0 0 0 0 0 0 1.01349789566152 0 0 41.0817086356027 0 0 3.15443763615662 0 +"LPC_2:0_[M+Cl]1-" 334.0828 0 493.856801522489 1017.01965535594 773.670532534088 1137.4779369188 2589.55190087891 195.496594744279 325.538321527095 302.131249901553 209.94001655665 0 696.019975142045 0 141.029263583097 +"LPC-2O_3:0_[M+Cl]1-" 334.1192 451.620205965909 100.96796875 198.585587207438 226.580515517938 531.620092277327 1602.2972792337 277.848289826885 346.574175553545 96.0707688390478 127.917633405309 503.411161447582 592.082253196023 421.594583018543 536.054824370259 +"EIC(C20H32O4)_[M-H]1-" 335.2228 273.531316583807 312.728740834616 74.2532533157704 0 37.3817047119141 427.989564058431 0 0 0 257.242779455735 4509.43277236326 2203.1503102224 296.782724458288 445.345229358013 +"FA(22:2)_[M-H]1-" 335.2956 469.425825639205 156.409526909722 0 0 0 125.550180484099 43.9763325535974 0 31.117919921875 0 456.077992890559 557.802823153409 0 0 +"EIC(C20H34O4)_[M-H]1-" 337.2384 1398.83775410545 2658.3539483986 4107.71312837889 5086.4215486992 7811.71551411765 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11.5760841369629 0 0 0 0 95.7864060174851 0 1658.7105783422 345.014908854167 0 +"LPE_19:1_[M-H]1-" 492.3096 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPE-P_20:0_[M-H]1-" 492.3459 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_17:2_[M-H]1-" 493.2572 0 0 517.475270524344 5784.7102793164 1204.25637724467 5389.21056139484 9252.18395120227 2781.28820040782 2126.53755080641 1923.29426363757 0 0 4614.09476032684 1286.99565701722 +"LPS_16:1_[M-H]1-" 494.2524 0 0 0 0 0 0 0 98.0194744731105 0 0 0 0 0 0 +"LPE_19:0_[M-H]1-" 494.3252 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPE-O_20:0_[M-H]1-" 494.3616 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_17:1_[M-H]1-" 495.2728 0 483.380387194265 1943.17636484273 5435.42722792818 1662.63432992504 7532.92720787452 10482.49197338 4232.70827141797 3450.93010657099 3987.40998319756 0 0 18565.9303251528 1813.24559264836 +"LPG-P_18:0_[M-H]1-" 495.3092 0 0 0 0 0 0 0 67.4090888444767 98.3635535876041 70.0916457403274 0 0 0 0 +"PC-O_12:1_[M+OAC]1- / LPS_16:0_[M-H]1-" 496.2681 0 0 0 0 104.120828712117 0 684.675677737966 115.873387536337 0 0 0 0 0 0 +"PG_16:0_[M-H]1-" 497.2521 0 0 92.289306640625 691.054909989992 64.9971845790862 99.6371837797619 579.567768726588 90.6600483739099 124.941723098107 0 0 0 0 0 +"LPG_17:0_[M-H]1-" 497.2885 0 0 240.573802838696 296.870548104282 121.422945365232 214.900980784324 82.6410508266715 378.584769321396 0 146.206577845982 0 0 541.007899305556 0 +"LPG-O_18:0_[M-H]1-" 497.3249 0 0 0 132.268725018169 0 122.674990699405 0 359.154681598091 0 0 0 0 0 0 +"LPE_20:5_[M-H]1-" 498.2626 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC_12:0_[M+OAC]1-" 498.2837 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"BA(TDCA)_[M-H]1-" 498.2904 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC-2O_13:0_[M+OAC]1-" 498.3201 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC_14:1_[M+Cl]1-" 500.2549 0 0 0 0 0 0 0 0 0 0 0 0 30.5153525862334 0 +"LPE_20:4_[M-H]1-" 500.2783 0 0 598.140723568269 5622.87321345271 503.582959505748 671.916183864671 0 204.861762850443 343.030893432358 2390.87995885398 0 0 0 0 +"LPC-P_15:0_[M+Cl]1-" 500.2913 0 0 598.140723568269 5622.87321345271 406.197724309044 571.080555966476 0 161.598043647264 255.160014250052 2390.87995885398 0 0 0 0 +"PC-O_14:0_[M+Cl]1-" 502.2706 0 0 0 80.3607110861681 8.78795547485351 12.757327125186 4675.52969889528 0 0 95.0641263093262 0 0 27105.6693713068 0 +"LPE_20:3_[M-H]1-" 502.2939 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC-2O_15:0_[M+Cl]1-" 502.307 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_18:4_[M-H]1-" 503.2415 17343.3024774754 13685.2528159822 11387.4805341701 64967.876527812 5071.34837256948 25968.5687646125 115744.931691746 14422.1867293084 14879.8790261175 58132.4390226084 3877.86086794673 38829.3078079982 369317.100804241 40082.6468408319 +"PC_12:2_[M+OAC]1-" 504.2004 0 0 0 109.958836755087 46.6795967867405 97.8345540364583 355.868054102687 0 0 0 0 0 20626.1470124622 0 +"LPE_20:2_[M-H]1-" 504.3096 0 0 1314.59088698775 246.253663376025 52.5026733398438 317.379291465484 336.089496582413 174.983088620105 89.8713346464175 64.3658447265625 0 0 0 0 +"Cer_32:3_[M-H]1-" 504.4422 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_18:3_[M-H]1-" 505.2572 0 0 79.0713799055233 0 0 0 23.7624696243641 0 0 0 0 0 1.90875644581168 0 +"FAHFA_POHPO_[M-H]1-" 505.4262 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPS_17:2_[M-H]1-" 506.2524 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPE_20:1_[M-H]1-" 506.3252 0 0 503.745000460632 0 131.523266004906 0 0 50.4833075944767 84.6959577287946 0 0 0 0 0 +"Cer_32:2_[M-H]1-" 506.4579 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_18:2_[M-H]1-" 507.2728 0 0 0 0 47.0530914306641 0 0 145.050603337477 0 0 0 0 0 0 +"FAHFA_PAHPO_[M-H]1-" 507.4419 0 0 0 0 0 131.610316685268 181.313306231831 0 0 0 0 0 0 0 +"LPS_17:1_[M-H]1-" 508.2681 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPS-P_18:0_[M-H]1-" 508.3045 0 0 19.2134910433372 0 0 0 0 117.262450891251 0 0 0 0 0 0 +"LPE_20:0_[M-H]1-" 508.3409 0 0 1020.59226738984 121.805505087209 159.360571798058 119.266299293155 0 1195.54577877157 255.234506459629 380.329991366326 0 0 0 0 +"Cer_32:1_[M-H]1-" 508.4735 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_18:1_[M-H]1-" 509.2885 0 0 124.75835755814 187.143278455612 69.7218779354828 99.4208868117559 144.589832394622 149.039393286074 0 0 0 0 0 0 +"FAHFA_PAHPA_[M-H]1-" 509.4575 0 0 0 0 80.0873366113219 0 370.200037335919 630.519457818711 0 339.896025552127 0 0 3548.34394325563 0 +"PS_16:0_[M-H]1-" 510.2474 1454.99325263773 0 0 0 0 99.4101329985119 0 0 0 0 0 1505.06403068733 0 0 +"PC-O_13:1_[M+OAC]1- / LPS_17:0_[M-H]1-" 510.2837 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC-O_14:1_[M+OAC]1- / LPS-O_18:0_[M-H]1-" 510.3201 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_18:0_[M-H]1-" 511.3041 0 0 0 192.660030825309 0 0 0 0 167.972118120797 0 0 0 0 0 +"PC_12:0_[M+OAC]1-" 512.263 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC_13:0_[M+OAC]1-" 512.2994 0 0 0 0 0 0 0 0 65.8000953311012 0 0 0 0 0 +"LPC-2O_14:0_[M+OAC]1-" 512.3358 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC_15:1_[M+Cl]1-" 514.2706 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"BA(TCA)_[M-H]1-" 514.2853 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC-O_16:1_[M+Cl]1-" 514.307 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_30:2_[M+Cl]1-" 514.4032 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPI_12:0_[M-H]1-" 515.2263 13669.006673069 5458.25689585123 1067.59410813069 4278.83845779558 134.13674521507 753.288384896752 7706.89650115061 699.533692228195 639.582220999077 4147.95294071539 11474.2168208207 27128.7059176963 33315.394688275 8900.31846389388 +"LPS_18:4_[M-H]1-" 516.2368 0 0 0 122.068552416424 0 86.4380115327381 285.422842995127 0 0 175.515531994048 377.335049715909 0 1718.68706370432 307.664484197443 +"PC_14:0_[M+Cl]1-" 516.2499 0 0 0 0 0 0 3.92171034663407 0 0 0 0 0 36.7583015521992 235.488880504261 +"LPC_15:0_[M+Cl]1-" 516.2862 0 0 0 0 0 0 73.9572629618746 0 0 148.49699011697 0 0 12165.1978292512 0 +"LPC-2O_16:0_[M+Cl]1-" 516.3226 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_30:1_[M+Cl]1-" 516.4189 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPS_18:3_[M-H]1-" 518.2524 57.2899780273438 0 57.1527184774709 0 0 0 0 0 0 0 1205.79448758803 706.284889914773 2152.28533188828 0 +"LPS_18:2_[M-H]1-" 520.2681 0 0 0 0 16.2404434204102 0 0 0 0 0 0 0 0 0 +"Cer_33:2_[M-H]1-" 520.4735 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPS_18:1_[M-H]1-" 522.2837 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"PE_20:0_[M-H]1-" 522.3201 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPE_21:0_[M-H]1-" 522.3565 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_33:1_[M-H]1-" 522.4892 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_19:1_[M-H]1-" 523.3041 0 0 61.6741631086483 0 23.8514556884766 0 0 118.784043422965 75.6310918898809 0 0 0 0 0 +"LPG-P_20:0_[M-H]1-" 523.3405 0 0 93.4930505087209 0 0 0 0 65.7710528706395 0 0 0 0 0 0 +"LPE_22:6_[M-H]1-" 524.2783 0 0 253.570907539794 848.681913892166 145.42257877242 0 0 178.950376909638 90.4135168400435 0 0 0 0 0 +"LPC_14:1_[M+OAC]1- / LPS_18:0_[M-H]1-" 524.2994 0 0 0 0 4.98087684106705 0 0 0 34.2629510788691 0 0 0 0 0 +"LPC-P_15:0_[M+OAC]1-" 524.3358 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_19:0_[M-H]1-" 525.3198 0 0 0 188.130268837339 89.8862760662558 105.821649460565 0 0 0 0 0 0 0 0 +"LPG-O_20:0_[M-H]1-" 525.3562 0 0 0 0 0 0 0 141.88685378949 0 109.973911830357 0 0 0 0 +"PC-O_14:0_[M+OAC]1-" 526.315 0 0 412.128540411163 0 304.288261246068 0 482.317928894566 752.819598464304 446.804548170631 699.987885564188 0 0 0 0 +"LPC-2O_15:0_[M+OAC]1-" 526.3514 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC_16:1_[M+Cl]1-" 528.2862 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPE_22:4_[M-H]1-" 528.3096 0 0 67.03271484375 0 27.5163169417967 0 0 0 0 0 0 0 0 0 +"LPC-P_17:0_[M+Cl]1-" 528.3226 0 0 41.5242125045421 0 22.0858016967773 0 0 0 0 0 0 0 0 0 +"LPI_13:0_[M-H]1-" 529.2419 673.714959027422 233.928190104167 0 4284.71897937621 94.0308569010226 1409.76976629754 8130.17589075938 0 340.137769805681 4341.90199596903 393.239335763615 0 31297.6083670317 1414.73084363592 +"LPG_20:5_[M-H]1-" 529.2572 0 0 111.856150072674 4284.71897937621 89.5927832104297 1409.76976629754 8130.17589075938 0 324.160696532296 4341.90199596903 0 763.465198863636 31297.6083670317 1414.73084363592 +"PC-O_16:0_[M+Cl]1-" 530.3019 0 0 221.028409553852 212.422714672113 243.512715236462 458.318633088892 2559.2580008342 1473.84839727595 1208.22946001459 793.055603549494 0 0 11640.5402118655 0 +"LPC-2O_17:0_[M+Cl]1-" 530.3383 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_20:4_[M-H]1-" 531.2728 0 0 0 161.477676964723 0 0 141.49945494186 0 46.1758074079241 0 459.409268465909 635.575994318182 297.399739583333 0 +"LPE_22:2_[M-H]1-" 532.3409 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_34:3_[M-H]1-" 532.4735 0 0 0 0 61.5386962890625 0 0 20556.6593495543 177.750666765945 0 1520.97686090879 0 34899.5911533267 0 +"LPG_20:3_[M-H]1-" 533.2885 12222.7161385139 6245.18940809007 274.305703582118 0 15.2428024291992 0 0 0 51.5735793340774 0 8537.31186406458 5344.98005753458 0 910.558534232489 +"FAHFA_PAHOA_[M-H]1-" 533.4575 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPE_22:1_[M-H]1-" 534.3565 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_34:2_[M-H]1-" 534.4892 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_20:2_[M-H]1-" 535.3041 430.559017995055 13.0359273838971 218.841773131663 0 54.6089965820313 0 0 0 0 0 762.6436274559 5288.01699288506 0 1056.02885716206 +"PA_24:0_[M-H]1-" 535.3405 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"FAHFA_PAHSA_[M-H]1-" 535.4732 0 0 0 0 0 0 2044.61903707499 0 160.080269952703 104.63189406622 1653.80253954984 0 0 0 +"PC_16:2_[M+Cl]1-" 536.2186 212.091702170717 38.3653078868014 0 0 0 0 0 0 0 0 415.443278814658 839.434242705877 0 948.16256247785 +"LPS_19:1_[M-H]1-" 536.2994 0 0 0 0 0 0 0 0 0 0 0 1298.04575954765 0 0 +"LPS-P_20:0_[M-H]1-" 536.3358 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPE_22:0_[M-H]1-" 536.3722 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_34:1_[M-H]1-" 536.5048 0 0 0 0 0 0 0 0 0 0 0 0 784.341019747356 0 +"LPG_20:1_[M-H]1-" 537.3198 0 0 0 0 8.2218635559082 0 0 269.233717515859 0 0 0 0 0 0 +"LPC_15:1_[M+OAC]1- / LPS_19:0_[M-H]1-" 538.315 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC-O_16:1_[M+OAC]1- / LPS-O_20:0_[M-H]1-" 538.3514 0 0 185.28954510974 84.6302007630814 0 80.5084577287946 0 170.614709667381 0 0 0 0 0 0 +"Cer_30:2_[M+OAC]1-" 538.4477 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPG_20:0_[M-H]1-" 539.3354 683.660826784174 167.877973090278 0 212.956644095019 64.4629602057126 0 119.897642623547 0 0 0 0 286.513117009943 0 249.542813387784 +"LPC_17:2_[M+Cl]1-" 540.2862 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"PC_14:0_[M+OAC]1-" 540.2943 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC-P_18:1_[M+Cl]1-" 540.3226 1118.14779227363 4570.30463445333 16699.899300809 13397.9049276147 4298.25220854038 8562.39849056825 13502.4610302767 11820.2375695773 10081.4087742114 8666.31878544507 431.820490056818 0 0 0 +"LPC_15:0_[M+OAC]1-" 540.3307 1118.14779227363 4570.30463445333 16699.899300809 13397.9049276147 4298.25220854038 8562.39849056825 13502.4610302767 11820.2375695773 10081.4087742114 8666.31878544507 431.820490056818 0 0 0 +"LPC-2O_16:0_[M+OAC]1-" 540.3671 8528.95430501701 688.262304815947 341.796673562764 0 0 0 0 0 158.335117335662 0 20700.6581255766 10306.36803037 0 464.100992704432 +"Cer_32:3_[M+Cl]1-" 540.4189 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_30:1_[M+OAC]1-" 540.4633 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPI_14:1_[M-H]1-" 541.2419 0 0 0 344.46016147983 104.550912339548 337.078298137357 0 57.1063998909884 0 123.775460379464 0 609.742276278409 0 276.882168856534 +"LPS_20:5_[M-H]1-" 542.2524 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC_17:1_[M+Cl]1-" 542.3019 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC-O_18:1_[M+Cl]1-" 542.3383 35518.1306089869 21310.3411521456 4034.93433293231 0 0 71.5174793061756 0 204.464423412545 0 0 18541.2928880193 36547.9693319243 0 14947.1772567269 +"Cer_32:2_[M+Cl]1-" 542.4345 0 0 0 0 0 0 0 4946.31119635153 0 0 0 0 2379.26242455902 0 +"LPI_14:0_[M-H]1-" 543.2576 3304.54948147424 247.522536506551 100.633107739826 138.46629680902 11.3649459838867 80.3895903087798 736.623475952922 88.7459801962209 60.6322486514137 396.775800804126 407.667809682044 3877.66376404409 5946.67876165422 190.607137651432 +"LPS_20:4_[M-H]1-" 544.2681 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"PC_16:0_[M+Cl]1-" 544.2812 223.413130326705 0 0 189.511315343338 0 0 1603.61762330672 68.4154875999273 85.9911202158942 1604.61349547476 0 0 0 0 +"PC-O_17:0_[M+Cl]1-" 544.3175 0 0 0 124.672653745848 0 0 298.159857047941 0 0 205.700885496585 0 0 611.152399659969 0 +"LPC-2O_18:0_[M+Cl]1-" 544.3539 0 0 0 0 0 0 0 46.4706747365552 52.0662725539434 36.4285917736235 0 0 0 0 +"Cer_32:1_[M+Cl]1-" 544.4502 0 0 0 0 0 0 0 7144.32362030721 0 0 0 0 809.9127581831 0 +"LPS_20:3_[M-H]1-" 546.2837 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPS_20:2_[M-H]1-" 548.2994 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_35:2_[M-H]1-" 548.5048 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"PA_25:0_[M-H]1-" 549.3562 0 0 0 0 0 0 0 77.5200706304506 0 0 0 0 0 0 +"LPC_18:4_[M+Cl]1-" 550.2706 0 0 0 0 0 0 0 0 0 0 347.798739346591 0 0 0 +"LPS_20:1_[M-H]1-" 550.315 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"Cer_35:1_[M-H]1-" 550.5205 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +"LPC_18:3_[M+Cl]1-" 552.2862 347732.784200626 146234.932193716 26173.5837725072 0 22.6053787231445 2324.05104211393 0 4210.61778426615 0 0 204845.433032116 458253.925264485 0 128186.428820786 +"LPC_16:1_[M+OAC]1- / LPS_20:0_[M-H]1-" 552.3307 0 0 3592.28922342504 2301.58298691198 2130.72435178169 2108.81980360741 1823.63540895711 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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/pos_peak.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,3478 @@ +"name" "mz" "01_sample" "02_sample" "03_sample" "04_sample" "05_sample" "06_sample" "07_sample" "08_sample" "09_sample" "10_sample" "23_pool" "24_pool" "71_blank" "72_blank" +"TG_6:0_[M+NH4]1+" 236.1129 23680.2668082063 18618.3959347721 22790.913946956 26642.8958163855 22989.1798147566 23963.8021683044 22828.9629350459 19742.2729042901 22407.7522417477 19529.9245604755 11294.6517518874 11772.5669977226 4715.91644896274 17952.0240150204 +"TG_6:0_[M+Na]1+" 241.0683 84.887700398763 192.794558347745 0 151.083292643229 53.2286326090495 103.635518391927 0 0 0 0 149.142462200278 0 231.951052295918 99.9242553710938 +"LPC_2:0_[M+H]1+" 300.1207 0 0 0 97.3457594962515 0 0 0 0 0 0 0 98.5151570638021 0 0 +"LPC-2O_3:0_[M+H]1+" 300.1571 456.326308672672 74.5699238899195 71.7029825846354 160.916514078776 0 140.686899820964 0 107.112030029297 0 0 301.064740932467 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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/res/mzml_pos_devi.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,3478 @@ +"name" "mz" "01_sample" "02_sample" "03_sample" "04_sample" +"TG_6:0_[M+NH4]1+" 236.1129 0 0 0 0 +"TG_6:0_[M+Na]1+" 241.0683 0 0 0 0 +"LPC_2:0_[M+H]1+" 300.1207 0 0 0 0 +"LPC-2O_3:0_[M+H]1+" 300.1571 0 0 0 0 +"LPC_3:1_[M+H]1+" 312.1207 0 0 0 0 +"PC-O_3:0_[M+H]1+" 314.1363 0 0 0 0 +"LPC-2O_4:0_[M+H]1+" 314.1727 0 0 0 0 +"Cer_20:1_[M+H-H2O]1+" 324.2897 0 0 0 0 +"PC-O_4:0_[M+H]1+" 328.152 0 0 0 0 +"LPC_O-5:0_[M+H]1+" 328.1884 0 0 0 0 +"PC_4:0_[M+H]1+" 342.1312 0 0 0 0 +"LPC_5:0_[M+H]1+" 342.1676 0 0 0 0 +"Cer_20:1_[M+H]1+" 342.3003 0 0 0 0 +"MG_16:0_[M+NH4]1+" 348.3108 0 0 0 0 +"Cholesterol_[M+H-2H2O]1+" 351.341 0 0 0 0 +"LPC_6:0_[M+H]1+" 356.1833 0 0 0 0 +"MG_17:0_[M+NH4]1+" 362.3265 0 0 0 0 +"Oxocholesterol_[M+H-2H2O]1+" 365.3203 0 0 0 0 +"Hydroxycholesterol_[M+H-2H2O]1+" 367.3359 0 0 0 0 +"Cholesterol_[M+H-H2O]1+" 369.3516 0 0 0 0 +"PC_6:0_[M+H]1+" 370.1625 0 0 0 0 +"LPC_7:0_[M+H]1+" 370.1989 0 0 0 0 +"MG_18:2_[M+NH4]1+" 372.3108 0 0 0 0 +"MG_18:1_[M+NH4]1+" 374.3265 0 0 0 0 +"2H-IS_CE_[M+H-H2O]1+" 374.3827 0 0 0 0 +"2H-IS_CE_[M+H-H2O]1+" 375.3886 0 0 0 0 +"MG_18:0_[M+NH4]1+" 376.3421 0 0 0 0 +"2H-IS_CE_[M+H-H2O]1+" 376.3918 0 0 0 0 +"2H-IS_CE_[M+H-H2O]1+" 377.395 0 0 0 0 +"Oxocholesterol_[M+H-H2O]1+" 383.3308 0 0 0 0 +"LPC_8:0_[M+H]1+" 384.2146 0 0 0 0 +"Hydroxycholesterol_[M+H-H2O]1+" 385.3465 0 0 0 0 +"PA_12:0_[M+NH4]1+" 386.1938 0 0 0 0 +"PA_12:0_[M+Na]1+" 391.1492 0 0 0 0 +"MG_20:5_[M+NH4]1+" 394.2952 0 0 0 0 +"LPC_O-10:1_[M+H]1+" 396.251 0 0 0 0 +"MG_20:4_[M+NH4]1+" 396.3108 0 0 0 0 +"PC_8:0_[M+H]1+" 398.1938 0 0 0 0 +"LPC_9:0_[M+H]1+ / LPE_12:0_[M+H]1+" 398.2302 0 0 0 0 +"MG_20:0_[M+NH4]1+" 404.3734 0 0 0 0 +"PE_12:0_[M+H]1+" 412.2095 0 0 0 0 +"PC-O_10:0_[M+H]1+ / LPE_13:0_[M+H]1+" 412.2459 0 0 0 0 +"MG_22:6_[M+NH4]1+" 420.3108 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 420.5436 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 421.5496 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 422.5554 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 423.5588 0 0 0 0 +"LPE_14:1_[M+H]1+" 424.2459 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 424.5622 0 0 0 0 +"PC_10:0_[M+H]1+" 426.2251 0 0 0 0 +"LPC_11:0_[M+H]1+ / LPE_14:0_[M+H]1+" 426.2615 0 0 0 0 +"LPC-2O_12:0_[M+H]1+" 426.2979 0 0 0 0 +"LPG_12:0_[M+H]1+" 429.2248 0 0 0 0 +"PC-O_12:1_[M+H]1+ / LPE_15:1_[M+H]1+" 438.2615 0 0 0 0 +"LPE-P_16:0_[M+H]1+" 438.2979 0 0 0 0 +"DG_24:0_[M+H-H2O]1+" 439.3782 0 0 0 0 +"LPC_12:0_[M+H]1+ / LPE_15:0_[M+H]1+" 440.2772 0 0 0 0 +"LPC-2O_13:0_[M+H]1+ / LPE-O_16:0_[M+H]1+" 440.3136 0 0 0 0 +"LPS_12:0_[M+H]1+" 442.22 0 0 0 0 +"PA_16:0_[M+NH4]1+" 442.2564 0 0 0 0 +"PG_12:0_[M+H]1+" 443.2041 0 0 0 0 +"LPG_13:0_[M+H]1+" 443.2404 0 0 0 0 +"PC_12:2_[M+H]1+" 446.1938 0 0 0 0 +"LPG_12:0_[M+NH4]1+" 446.2513 0 0 0 0 +"PA_16:0_[M+Na]1+" 447.2118 0 0 0 0 +"LPG_12:0_[M+Na]1+" 451.2067 0 0 0 0 +"PC-O_13:1_[M+H]1+ / LPE_16:1_[M+H]1+" 452.2772 0 0 0 0 +"LPC-O_14:1_[M+H]1+" 452.3136 0 0 0 0 +"PC_12:0_[M+H]1+" 454.2564 0 0 0 0 +"LPC_13:0_[M+H]1+ / LPE_16:0_[M+H]1+" 454.2928 0 0 0 0 +"LPC-2O_14:0_[M+H]1+" 454.3292 0 0 0 0 +"LPG_14:1_[M+H]1+" 455.2404 0 0 0 0 +"PS_12:0_[M+H]1+" 456.1993 0 0 0 0 +"LPS_13:0_[M+H]1+" 456.2357 0 0 0 0 +"LPG_14:0_[M+H]1+" 457.2561 0 0 0 0 +"PG_12:0_[M+NH4]1+" 460.2306 0 0 0 0 +"LPG_13:0_[M+NH4]1+" 460.267 0 0 0 0 +"Cer_30:2_[M+H-H2O]1+" 462.4306 0 0 0 0 +"LPS_12:0_[M+Na]1+" 464.202 0 0 0 0 +"LPE_17:2_[M+H]1+" 464.2772 0 0 0 0 +"Cer_30:1_[M+H-H2O]1+" 464.4462 0 0 0 0 +"PG_12:0_[M+Na]1+" 465.186 0 0 0 0 +"LPG_13:0_[M+Na]1+" 465.2224 0 0 0 0 +"LPC_14:1_[M+H]1+ / LPE_17:1_[M+H]1+" 466.2928 0 0 0 0 +"LPC-P_15:0_[M+H]1+ / LPE-O_18:1_[M+H]1+" 466.3292 0 0 0 0 +"DG_26:0_[M+H-H2O]1+" 467.4095 0 0 0 0 +"LPS_14:1_[M+H]1+" 468.2357 0 0 0 0 +"PE_16:0_[M+H]1+" 468.2721 0 0 0 0 +"PC-O_14:0_[M+H]1+ / LPE_17:0_[M+H]1+" 468.3085 0 0 0 0 +"LPC-2O_15:0_[M+H]1+ / LPE-O_18:0_[M+H]1+" 468.3449 0 0 0 0 +"LPG_15:1_[M+H]1+" 469.2561 0 0 0 0 +"LPG-P_16:0_[M+H]1+" 469.2925 0 0 0 0 +"LPS_14:0_[M+H]1+" 470.2513 0 0 0 0 +"LPG_15:0_[M+H]1+" 471.2717 0 0 0 0 +"LPG-O_16:0_[M+H]1+" 471.3081 0 0 0 0 +"LPG_14:1_[M+NH4]1+" 472.267 0 0 0 0 +"LPE_18:4_[M+H]1+" 474.2615 0 0 0 0 +"LPG_14:0_[M+NH4]1+" 474.2826 0 0 0 0 +"DG_24:0_[M+NH4]1+" 474.4153 0 0 0 0 +"LPE_18:3_[M+H]1+" 476.2772 0 0 0 0 +"LPG_14:1_[M+Na]1+" 477.2224 0 0 0 0 +"PS_12:0_[M+Na]1+" 478.1813 0 0 0 0 +"LPS_13:0_[M+Na]1+" 478.2176 0 0 0 0 +"LPE_18:2_[M+H]1+" 478.2928 0 0 0 0 +"LPE-P_19:1_[M+H]1+" 478.3292 0 0 0 0 +"LPG_14:0_[M+Na]1+" 479.238 0 0 0 0 +"LPC_15:1_[M+H]1+ / LPE_18:1_[M+H]1+" 480.3085 0 0 0 0 +"LPC-O_16:1_[M+H]1+" 480.3449 0 0 0 0 +"Cer_30:2_[M+H]1+" 480.4411 0 0 0 0 +"LPS_15:1_[M+H]1+" 482.2513 0 0 0 0 +"PC_14:0_[M+H]1+ / LPS-P_16:0_[M+H]1+" 482.2877 0 0 0 0 +"LPC_15:0_[M+H]1+ / LPE_18:0_[M+H]1+" 482.3241 0 0 0 0 +"LPC-2O_16:0_[M+H]1+" 482.3605 0 0 0 0 +"Cer_30:1_[M+H]1+" 482.4568 0 0 0 0 +"LPG_16:1_[M+H]1+" 483.2717 0 0 0 0 +"LPS_15:0_[M+H]1+" 484.267 0 0 0 0 +"LPS-O_16:0_[M+H]1+" 484.3034 0 0 0 0 +"LPG_16:0_[M+H]1+" 485.2874 0 0 0 0 +"LPG_15:1_[M+NH4]1+" 486.2826 0 0 0 0 +"LPG-P_16:0_[M+NH4]1+" 486.319 0 0 0 0 +"LPG_15:0_[M+NH4]1+" 488.2983 0 0 0 0 +"LPG-O_16:0_[M+NH4]1+" 488.3347 0 0 0 0 +"Cer_32:3_[M+H-H2O]1+" 488.4462 0 0 0 0 +"LPS_14:1_[M+Na]1+" 490.2176 0 0 0 0 +"Cer_32:2_[M+H-H2O]1+" 490.4619 0 0 0 0 +"LPG_15:1_[M+Na]1+" 491.238 0 0 0 0 +"LPG-P_16:0_[M+Na]1+" 491.2744 0 0 0 0 +"DG_28:2_[M+H-H2O]1+" 491.4095 0 0 0 0 +"LPS_14:0_[M+Na]1+" 492.2333 0 0 0 0 +"Cer_32:1_[M+H-H2O]1+" 492.4775 0 0 0 0 +"LPG_15:0_[M+Na]1+" 493.2537 0 0 0 0 +"LPG-O_16:0_[M+Na]1+" 493.2901 0 0 0 0 +"DG_28:1_[M+H-H2O]1+" 493.4251 0 0 0 0 +"LPC_16:1_[M+H]1+ / LPE_19:1_[M+H]1+" 494.3241 0 0 0 0 +"LPC-P_17:0_[M+H]1+ / LPE-P_20:0_[M+H]1+" 494.3605 0 0 0 0 +"LPG_17:2_[M+H]1+" 495.2717 0 0 0 0 +"DG_28:0_[M+H-H2O]1+" 495.4408 0 0 0 0 +"LPS_16:1_[M+H]1+" 496.267 0 0 0 0 +"LPC_16:0_[M+H]1+ / LPE_19:0_[M+H]1+" 496.3398 0 0 0 0 +"LPC-2O_17:0_[M+H]1+ / LPE-O_20:0_[M+H]1+" 496.3762 0 0 0 0 +"LPG_17:1_[M+H]1+" 497.2874 0 0 0 0 +"LPG-P_18:0_[M+H]1+" 497.3238 0 0 0 0 +"LPS_16:0_[M+H]1+" 498.2826 0 0 0 0 +"PA_20:0_[M+NH4]1+" 498.319 0 0 0 0 +"PG_16:0_[M+H]1+" 499.2667 0 0 0 0 +"LPG_17:0_[M+H]1+" 499.303 0 0 0 0 +"LPG-O_18:0_[M+H]1+" 499.3394 0 0 0 0 +"LPE_20:5_[M+H]1+" 500.2772 0 0 0 0 +"LPG_16:1_[M+NH4]1+" 500.2983 0 0 0 0 +"PC_16:2_[M+H]1+" 502.2564 0 0 0 0 +"LPE_20:4_[M+H]1+" 502.2928 0 0 0 0 +"LPG_16:0_[M+NH4]1+" 502.3139 0 0 0 0 +"DG_26:0_[M+NH4]1+" 502.4466 0 0 0 0 +"PA_20:0_[M+Na]1+" 503.2744 0 0 0 0 +"LPS_15:1_[M+Na]1+" 504.2333 0 0 0 0 +"LPS-P_16:0_[M+Na]1+" 504.2697 0 0 0 0 +"LPE_20:3_[M+H]1+" 504.3085 0 0 0 0 +"Cer_33:2_[M+H-H2O]1+" 504.4775 0 0 0 0 +"LPG_16:1_[M+Na]1+" 505.2537 0 0 0 0 +"LPG_18:4_[M+H]1+" 505.2561 0 0 0 0 +"DG_29:2_[M+H-H2O]1+" 505.4251 0 0 0 0 +"LPS_15:0_[M+Na]1+" 506.2489 0 0 0 0 +"LPS-O_16:0_[M+Na]1+" 506.2853 0 0 0 0 +"LPC_17:2_[M+H]1+ / LPE_20:2_[M+H]1+" 506.3241 0 0 0 0 +"LPC-P_18:1_[M+H]1+" 506.3605 0 0 0 0 +"Cer_32:3_[M+H]1+" 506.4568 0 0 0 0 +"Cer_33:1_[M+H-H2O]1+" 506.4932 0 0 0 0 +"LPG_16:0_[M+Na]1+" 507.2693 0 0 0 0 +"LPG_18:3_[M+H]1+" 507.2717 0 0 0 0 +"DG_29:1_[M+H-H2O]1+" 507.4408 0 0 0 0 +"LPS_17:2_[M+H]1+" 508.267 0 0 0 0 +"LPC_17:1_[M+H]1+ / LPE_20:1_[M+H]1+" 508.3398 0 0 0 0 +"LPC-O_18:1_[M+H]1+" 508.3762 0 0 0 0 +"Cer_32:2_[M+H]1+" 508.4724 0 0 0 0 +"LPG_18:2_[M+H]1+" 509.2874 0 0 0 0 +"DG_29:0_[M+H-H2O]1+" 509.4564 0 0 0 0 +"LPS_17:1_[M+H]1+" 510.2826 0 0 0 0 +"PC_16:0_[M+H]1+ / LPS-P_18:0_[M+H]1+" 510.319 0 0 0 0 +"PC-O_17:0_[M+H]1+ / LPE_20:0_[M+H]1+" 510.3554 0 0 0 0 +"LPC-2O_18:0_[M+H]1+" 510.3918 0 0 0 0 +"Cer_32:1_[M+H]1+" 510.4881 0 0 0 0 +"LPG_18:1_[M+H]1+" 511.303 0 0 0 0 +"PS_16:0_[M+H]1+" 512.2619 0 0 0 0 +"LPS_17:0_[M+H]1+ / LPG_17:2_[M+NH4]1+" 512.2983 0 0 0 0 +"LPS-O_18:0_[M+H]1+" 512.3347 0 0 0 0 +"LPG_18:0_[M+H]1+" 513.3187 0 0 0 0 +"LPG_17:1_[M+NH4]1+" 514.3139 0 0 0 0 +"LPG-P_18:0_[M+NH4]1+" 514.3503 0 0 0 0 +"PG_16:0_[M+NH4]1+" 516.2932 0 0 0 0 +"LPC_18:4_[M+H]1+" 516.3085 0 0 0 0 +"LPG_17:0_[M+NH4]1+" 516.3296 0 0 0 0 +"LPG-O_18:0_[M+NH4]1+" 516.366 0 0 0 0 +"Cer_34:3_[M+H-H2O]1+" 516.4775 0 0 0 0 +"LPI_12:0_[M+H]1+" 517.2408 0 0 0 0 +"LPG_17:2_[M+Na]1+" 517.2537 0 0 0 0 +"DG_30:3_[M+H-H2O]1+" 517.4251 0 0 0 0 +"LPS_16:1_[M+Na]1+" 518.2489 0 0 0 0 +"LPS_18:4_[M+H]1+" 518.2513 0 0 0 0 +"LPC_18:3_[M+H]1+" 518.3241 0 0 0 0 +"Cer_34:2_[M+H-H2O]1+" 518.4932 0 0 0 0 +"LPG_17:1_[M+Na]1+" 519.2693 0 0 0 0 +"LPG-P_18:0_[M+Na]1+" 519.3057 0 0 0 0 +"DG_30:2_[M+H-H2O]1+" 519.4408 0 0 0 0 +"LPS_16:0_[M+Na]1+" 520.2646 0 0 0 0 +"LPS_18:3_[M+H]1+" 520.267 0 0 0 0 +"LPC_18:2_[M+H]1+" 520.3398 0 0 0 0 +"LPC-O_19:1_[M+H]1+" 520.3762 0 0 0 0 +"Cer_34:1_[M+H-H2O]1+" 520.5088 0 0 0 0 +"PG_16:0_[M+Na]1+" 521.2486 0 0 0 0 +"LPG_17:0_[M+Na]1+" 521.285 0 0 0 0 +"LPG-O_18:0_[M+Na]1+" 521.3214 0 0 0 0 +"DG_30:1_[M+H-H2O]1+" 521.4564 0 0 0 0 +"LPS_18:2_[M+H]1+ / LPG_18:4_[M+NH4]1+" 522.2826 0 0 0 0 +"LPC_18:1_[M+H]1+" 522.3554 0 0 0 0 +"LPC-2O_19:1_[M+H]1+" 522.3918 0 0 0 0 +"Cer_33:2_[M+H]1+" 522.4881 0 0 0 0 +"DG_30:0_[M+H-H2O]1+" 523.4721 0 0 0 0 +"LPS_18:1_[M+H]1+ / LPG_18:3_[M+NH4]1+" 524.2983 0 0 0 0 +"PE_20:0_[M+H]1+" 524.3347 0 0 0 0 +"LPC_18:0_[M+H]1+ / LPE_21:0_[M+H]1+" 524.3711 0 0 0 0 +"LPC-2O_19:0_[M+H]1+" 524.4075 0 0 0 0 +"Cer_33:1_[M+H]1+" 524.5037 0 0 0 0 +"LPG_19:1_[M+H]1+" 525.3187 0 0 0 0 +"LPG-P_20:0_[M+H]1+" 525.3551 0 0 0 0 +"LPE_22:6_[M+H]1+" 526.2928 0 0 0 0 +"LPS_18:0_[M+H]1+ / LPG_18:2_[M+NH4]1+" 526.3139 0 0 0 0 +"DG_28:2_[M+NH4]1+" 526.4466 0 0 0 0 +"LPG_18:4_[M+Na]1+" 527.238 0 0 0 0 +"LPG_19:0_[M+H]1+" 527.3343 0 0 0 0 +"LPG-O_20:0_[M+H]1+" 527.3707 0 0 0 0 +"LPG_18:1_[M+NH4]1+" 528.3296 0 0 0 0 +"DG_28:1_[M+NH4]1+" 528.4623 0 0 0 0 +"LPG_18:3_[M+Na]1+" 529.2537 0 0 0 0 +"LPS_17:2_[M+Na]1+" 530.2489 0 0 0 0 +"LPE_22:4_[M+H]1+" 530.3241 0 0 0 0 +"LPG_18:0_[M+NH4]1+" 530.3452 0 0 0 0 +"DG_28:0_[M+NH4]1+" 530.4779 0 0 0 0 +"CE_8:0_[M+NH4]1+" 530.4932 0 0 0 0 +"LPI_13:0_[M+H]1+" 531.2565 0 0 0 0 +"LPG_18:2_[M+Na]1+" 531.2693 0 0 0 0 +"LPG_20:5_[M+H]1+" 531.2717 0 0 0 0 +"DG_31:3_[M+H-H2O]1+" 531.4408 0 0 0 0 +"LPS_17:1_[M+Na]1+" 532.2646 0 0 0 0 +"LPS-P_18:0_[M+Na]1+" 532.301 0 0 0 0 +"LPC_19:3_[M+H]1+" 532.3398 0 0 0 0 +"Cer_35:2_[M+H-H2O]1+" 532.5088 0 0 0 0 +"LPG_18:1_[M+Na]1+" 533.285 0 0 0 0 +"LPG_20:4_[M+H]1+" 533.2874 0 0 0 0 +"DG_31:2_[M+H-H2O]1+" 533.4564 0 0 0 0 +"PS_16:0_[M+Na]1+" 534.2439 0 0 0 0 +"LPI_12:0_[M+NH4]1+" 534.2674 0 0 0 0 +"LPS_17:0_[M+Na]1+" 534.2802 0 0 0 0 +"LPS-O_18:0_[M+Na]1+" 534.3166 0 0 0 0 +"LPE_22:2_[M+H]1+" 534.3554 0 0 0 0 +"Cer_34:3_[M+H]1+" 534.4881 0 0 0 0 +"Cer_35:1_[M+H-H2O]1+" 534.5245 0 0 0 0 +"LPG_18:0_[M+Na]1+" 535.3006 0 0 0 0 +"LPG_20:3_[M+H]1+" 535.303 0 0 0 0 +"CE_8:0_[M+Na]1+" 535.4486 0 0 0 0 +"DG_31:1_[M+H-H2O]1+" 535.4721 0 0 0 0 +"PC_18:1_[M+H]1+" 536.3347 0 0 0 0 +"PC-O_19:1_[M+H]1+ / LPE_22:1_[M+H]1+" 536.3711 0 0 0 0 +"LPC-2O_20:1_[M+H]1+" 536.4075 0 0 0 0 +"Cer_34:2_[M+H]1+" 536.5037 0 0 0 0 +"LPG_20:2_[M+H]1+" 537.3187 0 0 0 0 +"DG_31:0_[M+H-H2O]1+" 537.4877 0 0 0 0 +"LPS_19:1_[M+H]1+" 538.3139 0 0 0 0 +"PC_18:0_[M+H]1+ / LPS-P_20:0_[M+H]1+" 538.3503 0 0 0 0 +"PC-O_19:0_[M+H]1+ / LPE_22:0_[M+H]1+" 538.3867 0 0 0 0 +"LPC-2O_20:0_[M+H]1+" 538.4231 0 0 0 0 +"Cer_34:1_[M+H]1+" 538.5194 0 0 0 0 +"LPI_12:0_[M+Na]1+" 539.2228 0 0 0 0 +"LPG_20:1_[M+H]1+" 539.3343 0 0 0 0 +"LPS_18:4_[M+Na]1+" 540.2333 0 0 0 0 +"LPS_19:0_[M+H]1+" 540.3296 0 0 0 0 +"LPS-O_20:0_[M+H]1+" 540.366 0 0 0 0 +"DG_29:2_[M+NH4]1+" 540.4623 0 0 0 0 +"LPG_20:0_[M+H]1+" 541.35 0 0 0 0 +"DG_32:5_[M+H-H2O]1+" 541.4251 0 0 0 0 +"LPS_18:3_[M+Na]1+" 542.2489 0 0 0 0 +"LPC_20:5_[M+H]1+" 542.3241 0 0 0 0 +"LPG_19:1_[M+NH4]1+" 542.3452 0 0 0 0 +"LPG-P_20:0_[M+NH4]1+" 542.3816 0 0 0 0 +"DG_29:1_[M+NH4]1+" 542.4779 0 0 0 0 +"LPI_14:1_[M+H]1+" 543.2565 0 0 0 0 +"DG_32:4_[M+H-H2O]1+" 543.4408 0 0 0 0 +"LPS_18:2_[M+Na]1+" 544.2646 0 0 0 0 +"LPS_20:5_[M+H]1+" 544.267 0 0 0 0 +"LPC_20:4_[M+H]1+" 544.3398 0 0 0 0 +"LPG_19:0_[M+NH4]1+" 544.3609 0 0 0 0 +"LPG-O_20:0_[M+NH4]1+" 544.3973 0 0 0 0 +"DG_29:0_[M+NH4]1+" 544.4936 0 0 0 0 +"Cer_36:3_[M+H-H2O]1+" 544.5088 0 0 0 0 +"LPI_14:0_[M+H]1+" 545.2721 0 0 0 0 +"DG_32:3_[M+H-H2O]1+" 545.4564 0 0 0 0 +"LPS_18:1_[M+Na]1+" 546.2802 0 0 0 0 +"LPS_20:4_[M+H]1+" 546.2826 0 0 0 0 +"LPC_20:3_[M+H]1+" 546.3554 0 0 0 0 +"Cer_36:2_[M+H-H2O]1+" 546.5245 0 0 0 0 +"LPG_19:1_[M+Na]1+" 547.3006 0 0 0 0 +"LPG-P_20:0_[M+Na]1+" 547.337 0 0 0 0 +"DG_32:2_[M+H-H2O]1+" 547.4721 0 0 0 0 +"LPI_13:0_[M+NH4]1+" 548.283 0 0 0 0 +"LPS_18:0_[M+Na]1+" 548.2959 0 0 0 0 +"LPS_20:3_[M+H]1+ / LPG_20:5_[M+NH4]1+" 548.2983 0 0 0 0 +"PC-O_20:2_[M+H]1+" 548.3711 0 0 0 0 +"Cer_36:1_[M+H-H2O]1+" 548.5401 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 548.684 0 0 0 0 +"LPG_19:0_[M+Na]1+" 549.3163 0 0 0 0 +"LPG-O_20:0_[M+Na]1+" 549.3527 0 0 0 0 +"DG_32:1_[M+H-H2O]1+" 549.4877 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 549.6898 0 0 0 0 +"LPS_20:2_[M+H]1+ / LPG_20:4_[M+NH4]1+" 550.3139 0 0 0 0 +"PC_19:1_[M+H]1+" 550.3503 0 0 0 0 +"PC-O_20:1_[M+H]1+" 550.3867 0 0 0 0 +"Cer_35:2_[M+H]1+" 550.5194 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 550.6952 0 0 0 0 +"DG_32:0_[M+H-H2O]1+" 551.5034 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 551.7009 0 0 0 0 +"LPS_20:1_[M+H]1+ / LPG_20:3_[M+NH4]1+" 552.3296 0 0 0 0 +"PC_19:0_[M+H]1+" 552.366 0 0 0 0 +"PC-O_20:0_[M+H]1+" 552.4024 0 0 0 0 +"LPC-2O_21:0_[M+H]1+" 552.4388 0 0 0 0 +"DG_30:3_[M+NH4]1+" 552.4623 0 0 0 0 +"Cer_35:1_[M+H]1+" 552.535 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 552.7059 0 0 0 0 +"LPI_13:0_[M+Na]1+" 553.2384 0 0 0 0 +"LPG_20:5_[M+Na]1+" 553.2537 0 0 0 0 +"LPS_20:0_[M+H]1+ / LPG_20:2_[M+NH4]1+" 554.3452 0 0 0 0 +"PA_24:0_[M+NH4]1+" 554.3816 0 0 0 0 +"DG_30:2_[M+NH4]1+" 554.4779 0 0 0 0 +"LPG_20:4_[M+Na]1+" 555.2693 0 0 0 0 +"PG_20:0_[M+H]1+" 555.3293 0 0 0 0 +"LPG_21:0_[M+H]1+" 555.3656 0 0 0 0 +"DG_33:5_[M+H-H2O]1+" 555.4408 0 0 0 0 +"LPG_20:1_[M+NH4]1+" 556.3609 0 0 0 0 +"DG_30:1_[M+NH4]1+" 556.4936 0 0 0 0 +"LPI_15:1_[M+H]1+" 557.2721 0 0 0 0 +"LPG_20:3_[M+Na]1+" 557.285 0 0 0 0 +"LPG_22:6_[M+H]1+" 557.2874 0 0 0 0 +"LPI-P_16:0_[M+H]1+" 557.3085 0 0 0 0 +"DG_33:4_[M+H-H2O]1+" 557.4564 0 0 0 0 +"PC_20:4_[M+H]1+" 558.319 0 0 0 0 +"LPC_21:4_[M+H]1+" 558.3554 0 0 0 0 +"LPG_20:0_[M+NH4]1+" 558.3765 0 0 0 0 +"DG_30:0_[M+NH4]1+" 558.5092 0 0 0 0 +"CE_10:0_[M+NH4]1+" 558.5245 0 0 0 0 +"LPI_15:0_[M+H]1+" 559.2878 0 0 0 0 +"LPG_20:2_[M+Na]1+" 559.3006 0 0 0 0 +"LPI-O_16:0_[M+H]1+" 559.3242 0 0 0 0 +"PA_24:0_[M+Na]1+" 559.337 0 0 0 0 +"DG_33:3_[M+H-H2O]1+" 559.4721 0 0 0 0 +"LPI_14:1_[M+NH4]1+" 560.283 0 0 0 0 +"LPS_19:1_[M+Na]1+" 560.2959 0 0 0 0 +"LPS-P_20:0_[M+Na]1+" 560.3323 0 0 0 0 +"Cer_37:2_[M+H-H2O]1+" 560.5401 0 0 0 0 +"LPG_20:1_[M+Na]1+" 561.3163 0 0 0 0 +"LPG_22:4_[M+H]1+" 561.3187 0 0 0 0 +"DG_33:2_[M+H-H2O]1+" 561.4877 0 0 0 0 +"LPI_14:0_[M+NH4]1+" 562.2987 0 0 0 0 +"LPS_19:0_[M+Na]1+" 562.3115 0 0 0 0 +"LPS-O_20:0_[M+Na]1+" 562.3479 0 0 0 0 +"Cer_36:3_[M+H]1+" 562.5194 0 0 0 0 +"Cer_37:1_[M+H-H2O]1+" 562.5558 0 0 0 0 +"LPG_20:0_[M+Na]1+" 563.3319 0 0 0 0 +"CE_10:0_[M+Na]1+" 563.4799 0 0 0 0 +"DG_33:1_[M+H-H2O]1+" 563.5034 0 0 0 0 +"PC_20:1_[M+H]1+" 564.366 0 0 0 0 +"PC-O_21:1_[M+H]1+" 564.4024 0 0 0 0 +"Cer_36:2_[M+H]1+" 564.535 0 0 0 0 +"LPI_14:1_[M+Na]1+" 565.2384 0 0 0 0 +"LPG_22:2_[M+H]1+" 565.35 0 0 0 0 +"DG_33:0_[M+H-H2O]1+" 565.519 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 565.6887 0 0 0 0 +"LPS_20:5_[M+Na]1+" 566.2489 0 0 0 0 +"PC_20:0_[M+H]1+ / PE_23:0_[M+H]1+" 566.3816 0 0 0 0 +"PC-O_21:0_[M+H]1+" 566.418 0 0 0 0 +"DG_31:3_[M+NH4]1+" 566.4779 0 0 0 0 +"Cer_36:1_[M+H]1+" 566.5507 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 566.6943 0 0 0 0 +"LPI_14:0_[M+Na]1+" 567.2541 0 0 0 0 +"LPG_22:1_[M+H]1+" 567.3656 0 0 0 0 +"DG_34:6_[M+H-H2O]1+" 567.4408 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 567.7001 0 0 0 0 +"LPS_20:4_[M+Na]1+" 568.2646 0 0 0 0 +"PS_20:0_[M+H]1+" 568.3245 0 0 0 0 +"LPC_22:6_[M+H]1+" 568.3398 0 0 0 0 +"LPS_21:0_[M+H]1+" 568.3609 0 0 0 0 +"PA_25:0_[M+NH4]1+" 568.3973 0 0 0 0 +"DG_31:2_[M+NH4]1+" 568.4936 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 568.7056 0 0 0 0 +"LPG_22:0_[M+H]1+" 569.3813 0 0 0 0 +"DG_34:5_[M+H-H2O]1+" 569.4564 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 569.7111 0 0 0 0 +"LPS_20:3_[M+Na]1+" 570.2802 0 0 0 0 +"LPS_22:6_[M+H]1+" 570.2826 0 0 0 0 +"DG_31:1_[M+NH4]1+" 570.5092 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 570.716 0 0 0 0 +"LPI_16:1_[M+H]1+" 571.2878 0 0 0 0 +"DG_34:4_[M+H-H2O]1+" 571.4721 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 571.7204 0 0 0 0 +"LPS_20:2_[M+Na]1+" 572.2959 0 0 0 0 +"PG_20:0_[M+NH4]1+" 572.3558 0 0 0 0 +"LPC_22:4_[M+H]1+" 572.3711 0 0 0 0 +"LPG_21:0_[M+NH4]1+" 572.3922 0 0 0 0 +"TG_30:0_[M+NH4]1+" 572.4885 0 0 0 0 +"DG_31:0_[M+NH4]1+" 572.5249 0 0 0 0 +"Cer_38:3_[M+H-H2O]1+" 572.5401 0 0 0 0 +"LPI_16:0_[M+H]1+" 573.3034 0 0 0 0 +"PA_25:0_[M+Na]1+" 573.3527 0 0 0 0 +"DG_34:3_[M+H-H2O]1+" 573.4877 0 0 0 0 +"LPI_15:1_[M+NH4]1+" 574.2987 0 0 0 0 +"LPS_20:1_[M+Na]1+" 574.3115 0 0 0 0 +"LPS_22:4_[M+H]1+ / LPG_22:6_[M+NH4]1+" 574.3139 0 0 0 0 +"LPI-P_16:0_[M+NH4]1+" 574.3351 0 0 0 0 +"Cer_38:2_[M+H-H2O]1+" 574.5558 0 0 0 0 +"DG_34:2_[M+H-H2O]1+" 575.5034 0 0 0 0 +"LPI_15:0_[M+NH4]1+" 576.3143 0 0 0 0 +"LPS_20:0_[M+Na]1+" 576.3272 0 0 0 0 +"LPI-O_16:0_[M+NH4]1+" 576.3507 0 0 0 0 +"LPC_22:2_[M+H]1+" 576.4024 0 0 0 0 +"DG_32:5_[M+NH4]1+" 576.4623 0 0 0 0 +"Cer_38:1_[M+H-H2O]1+" 576.5714 0 0 0 0 +"PG_20:0_[M+Na]1+" 577.3112 0 0 0 0 +"LPG_21:0_[M+Na]1+" 577.3476 0 0 0 0 +"TG_30:0_[M+Na]1+" 577.4439 0 0 0 0 +"DG_34:1_[M+H-H2O]1+" 577.519 0 0 0 0 +"LPS_22:2_[M+H]1+ / LPG_22:4_[M+NH4]1+" 578.3452 0 0 0 0 +"PC_21:1_[M+H]1+" 578.3816 0 0 0 0 +"LPC_22:1_[M+H]1+" 578.418 0 0 0 0 +"DG_32:4_[M+NH4]1+" 578.4779 0 0 0 0 +"Cer_37:2_[M+H]1+" 578.5507 0 0 0 0 +"LPI_15:1_[M+Na]1+" 579.2541 0 0 0 0 +"LPG_22:6_[M+Na]1+" 579.2693 0 0 0 0 +"LPI-P_16:0_[M+Na]1+" 579.2905 0 0 0 0 +"DG_34:0_[M+H-H2O]1+" 579.5347 0 0 0 0 +"LPS_22:1_[M+H]1+" 580.3609 0 0 0 0 +"PC_21:0_[M+H]1+ / PE_24:0_[M+H]1+ / PA_26:1_[M+NH4]1+" 580.3973 0 0 0 0 +"PC-O_22:0_[M+H]1+" 580.4337 0 0 0 0 +"DG_32:3_[M+NH4]1+" 580.4936 0 0 0 0 +"Cer_37:1_[M+H]1+" 580.5663 0 0 0 0 +"LPI_15:0_[M+Na]1+" 581.2697 0 0 0 0 +"LPI-O_16:0_[M+Na]1+" 581.3061 0 0 0 0 +"DG_35:6_[M+H-H2O]1+" 581.4564 0 0 0 0 +"LPS_22:0_[M+H]1+ / LPG_22:2_[M+NH4]1+" 582.3765 0 0 0 0 +"PA_26:0_[M+NH4]1+" 582.4129 0 0 0 0 +"DG_32:2_[M+NH4]1+" 582.5092 0 0 0 0 +"LPI_17:2_[M+H]1+" 583.2878 0 0 0 0 +"LPG_22:4_[M+Na]1+" 583.3006 0 0 0 0 +"DG_35:5_[M+H-H2O]1+" 583.4721 0 0 0 0 +"LPG_22:1_[M+NH4]1+" 584.3922 0 0 0 0 +"DG_32:1_[M+NH4]1+" 584.5249 0 0 0 0 +"LPI_17:1_[M+H]1+" 585.3034 0 0 0 0 +"LPI-P_18:0_[M+H]1+" 585.3398 0 0 0 0 +"PA_26:1_[M+Na]1+" 585.3527 0 0 0 0 +"DG_35:4_[M+H-H2O]1+" 585.4877 0 0 0 0 +"LPG_22:0_[M+NH4]1+" 586.4078 0 0 0 0 +"DG_32:0_[M+NH4]1+" 586.5405 0 0 0 0 +"CE_12:0_[M+NH4]1+" 586.5558 0 0 0 0 +"LPI_17:0_[M+H]1+" 587.3191 0 0 0 0 +"LPG_22:2_[M+Na]1+" 587.3319 0 0 0 0 +"LPI-O_18:0_[M+H]1+" 587.3555 0 0 0 0 +"PA_26:0_[M+Na]1+" 587.3683 0 0 0 0 +"DG_35:3_[M+H-H2O]1+" 587.5034 0 0 0 0 +"LPI_16:1_[M+NH4]1+" 588.3143 0 0 0 0 +"Cer_39:2_[M+H-H2O]1+" 588.5714 0 0 0 0 +"LPG_22:1_[M+Na]1+" 589.3476 0 0 0 0 +"DG_35:2_[M+H-H2O]1+" 589.519 0 0 0 0 +"PS_20:0_[M+Na]1+" 590.3065 0 0 0 0 +"LPI_16:0_[M+NH4]1+" 590.33 0 0 0 0 +"LPS_21:0_[M+Na]1+" 590.3428 0 0 0 0 +"DG_33:5_[M+NH4]1+" 590.4779 0 0 0 0 +"Cer_38:3_[M+H]1+" 590.5507 0 0 0 0 +"Cer_39:1_[M+H-H2O]1+" 590.5871 0 0 0 0 +"LPG_22:0_[M+Na]1+" 591.3632 0 0 0 0 +"DG_36:8_[M+H-H2O]1+" 591.4408 0 0 0 0 +"CE_12:0_[M+Na]1+" 591.5112 0 0 0 0 +"DG_35:1_[M+H-H2O]1+" 591.5347 0 0 0 0 +"LPS_22:6_[M+Na]1+" 592.2646 0 0 0 0 +"PC_22:1_[M+H]1+" 592.3973 0 0 0 0 +"DG_33:4_[M+NH4]1+" 592.4936 0 0 0 0 +"Cer_38:2_[M+H]1+" 592.5663 0 0 0 0 +"LPI_16:1_[M+Na]1+" 593.2697 0 0 0 0 +"LPI_18:4_[M+H]1+" 593.2721 0 0 0 0 +"DG_36:7_[M+H-H2O]1+" 593.4564 0 0 0 0 +"DG_35:0_[M+H-H2O]1+" 593.5503 0 0 0 0 +"PC_22:0_[M+H]1+ / PE_25:0_[M+H]1+ / PA_27:1_[M+NH4]1+" 594.4129 0 0 0 0 +"LPC-2O_24:0_[M+H]1+" 594.4857 0 0 0 0 +"DG_33:3_[M+NH4]1+" 594.5092 0 0 0 0 +"Cer_38:1_[M+H]1+" 594.582 0 0 0 0 +"LPI_16:0_[M+Na]1+" 595.2854 0 0 0 0 +"LPI_18:3_[M+H]1+" 595.2878 0 0 0 0 +"DG_36:6_[M+H-H2O]1+" 595.4721 0 0 0 0 +"LPS_22:4_[M+Na]1+" 596.2959 0 0 0 0 +"PA_27:0_[M+NH4]1+" 596.4286 0 0 0 0 +"DG_33:2_[M+NH4]1+" 596.5249 0 0 0 0 +"LPI_18:2_[M+H]1+" 597.3034 0 0 0 0 +"DG_36:5_[M+H-H2O]1+" 597.4877 0 0 0 0 +"DG_33:1_[M+NH4]1+" 598.5405 0 0 0 0 +"LPI_18:1_[M+H]1+" 599.3191 0 0 0 0 +"PA_27:1_[M+Na]1+" 599.3683 0 0 0 0 +"DG_36:4_[M+H-H2O]1+" 599.5034 0 0 0 0 +"LPI_17:2_[M+NH4]1+" 600.3143 0 0 0 0 +"LPS_22:2_[M+Na]1+" 600.3272 0 0 0 0 +"DG_33:0_[M+NH4]1+" 600.5562 0 0 0 0 +"LPI_18:0_[M+H]1+" 601.3347 0 0 0 0 +"PA_27:0_[M+Na]1+" 601.384 0 0 0 0 +"DG_36:3_[M+H-H2O]1+" 601.519 0 0 0 0 +"LPI_17:1_[M+NH4]1+" 602.33 0 0 0 0 +"LPS_22:1_[M+Na]1+" 602.3428 0 0 0 0 +"LPI-P_18:0_[M+NH4]1+" 602.3664 0 0 0 0 +"DG_34:6_[M+NH4]1+" 602.4779 0 0 0 0 +"Cer_40:2_[M+H-H2O]1+" 602.5871 0 0 0 0 +"DG_36:2_[M+H-H2O]1+" 603.5347 0 0 0 0 +"LPI_17:0_[M+NH4]1+" 604.3456 0 0 0 0 +"LPS_22:0_[M+Na]1+" 604.3585 0 0 0 0 +"LPI-O_18:0_[M+NH4]1+" 604.382 0 0 0 0 +"DG_34:5_[M+NH4]1+" 604.4936 0 0 0 0 +"Cer_40:1_[M+H-H2O]1+" 604.6027 0 0 0 0 +"2H-IS_PG_U" 604.688 0 0 0 0 +"LPI_17:2_[M+Na]1+" 605.2697 0 0 0 0 +"DG_36:1_[M+H-H2O]1+" 605.5503 0 0 0 0 +"2H-IS_PG_U" 605.6941 0 0 0 0 +"2H-IS_PA_U" 605.6949 0 0 0 0 +"2H-IS_PI_U" 605.6951 0 0 0 0 +"PE_26:1_[M+H]1+ / PA_28:2_[M+NH4]1+" 606.4129 0 0 0 0 +"DG_34:4_[M+NH4]1+" 606.5092 0 0 0 0 +"Cer_39:2_[M+H]1+" 606.582 0 0 0 0 +"2H-IS_PG_U" 606.7002 0 0 0 0 +"2H-IS_PA_U" 606.701 0 0 0 0 +"2H-IS_PI_U" 606.7012 0 0 0 0 +"LPI_17:1_[M+Na]1+" 607.2854 0 0 0 0 +"LPI-P_18:0_[M+Na]1+" 607.3218 0 0 0 0 +"DG_37:7_[M+H-H2O]1+" 607.4721 0 0 0 0 +"DG_36:0_[M+H-H2O]1+" 607.566 0 0 0 0 +"2H-IS_PG_U" 607.7059 0 0 0 0 +"2H-IS_PA_U" 607.7067 0 0 0 0 +"2H-IS_PI_U" 607.707 0 0 0 0 +"PE_26:0_[M+H]1+ / PA_28:1_[M+NH4]1+" 608.4286 0 0 0 0 +"LPC_24:0_[M+H]1+" 608.465 0 0 0 0 +"DG_34:3_[M+NH4]1+" 608.5249 0 0 0 0 +"Cer_39:1_[M+H]1+" 608.5976 0 0 0 0 +"2H-IS_PG_U" 608.7117 0 0 0 0 +"2H-IS_PA_U" 608.7125 0 0 0 0 +"2H-IS_PI_U" 608.7127 0 0 0 0 +"LPI_17:0_[M+Na]1+" 609.301 0 0 0 0 +"LPI-O_18:0_[M+Na]1+" 609.3374 0 0 0 0 +"DG_37:6_[M+H-H2O]1+" 609.4877 0 0 0 0 +"2H-IS_PG_U" 609.716 0 0 0 0 +"2H-IS_PA_U" 609.7169 0 0 0 0 +"2H-IS_PI_U" 609.7171 0 0 0 0 +"LPI_18:4_[M+NH4]1+" 610.2987 0 0 0 0 +"PA_28:0_[M+NH4]1+" 610.4442 0 0 0 0 +"DG_34:2_[M+NH4]1+" 610.5405 0 0 0 0 +"2H-IS_PG_U" 610.7196 0 0 0 0 +"2H-IS_PI_U" 610.7206 0 0 0 0 +"PA_28:2_[M+Na]1+" 611.3683 0 0 0 0 +"PG_24:0_[M+H]1+" 611.3919 0 0 0 0 +"DG_37:5_[M+H-H2O]1+" 611.5034 0 0 0 0 +"LPI_18:3_[M+NH4]1+" 612.3143 0 0 0 0 +"DG_34:1_[M+NH4]1+" 612.5562 0 0 0 0 +"CE_14:1_[M+NH4]1+" 612.5714 0 0 0 0 +"LPI_19:1_[M+H]1+" 613.3347 0 0 0 0 +"LPI-P_20:0_[M+H]1+" 613.3711 0 0 0 0 +"PA_28:1_[M+Na]1+" 613.384 0 0 0 0 +"DG_37:4_[M+H-H2O]1+" 613.519 0 0 0 0 +"LPI_18:2_[M+NH4]1+" 614.33 0 0 0 0 +"DG_34:0_[M+NH4]1+" 614.5718 0 0 0 0 +"CE_14:0_[M+NH4]1+" 614.5871 0 0 0 0 +"LPI_18:4_[M+Na]1+" 615.2541 0 0 0 0 +"LPI_19:0_[M+H]1+" 615.3504 0 0 0 0 +"LPI-O_20:0_[M+H]1+" 615.3868 0 0 0 0 +"PA_28:0_[M+Na]1+" 615.3996 0 0 0 0 +"DG_37:3_[M+H-H2O]1+" 615.5347 0 0 0 0 +"LPI_18:1_[M+NH4]1+" 616.3456 0 0 0 0 +"DG_35:6_[M+NH4]1+" 616.4936 0 0 0 0 +"Cer_41:2_[M+H-H2O]1+" 616.6027 0 0 0 0 +"LPI_18:3_[M+Na]1+" 617.2697 0 0 0 0 +"DG_38:9_[M+H-H2O]1+" 617.4564 0 0 0 0 +"CE_14:1_[M+Na]1+" 617.5268 0 0 0 0 +"DG_37:2_[M+H-H2O]1+" 617.5503 0 0 0 0 +"LPI_18:0_[M+NH4]1+" 618.3613 0 0 0 0 +"DG_35:5_[M+NH4]1+" 618.5092 0 0 0 0 +"Cer_41:1_[M+H-H2O]1+" 618.6184 0 0 0 0 +"LPI_18:2_[M+Na]1+" 619.2854 0 0 0 0 +"LPI_20:5_[M+H]1+" 619.2878 0 0 0 0 +"DG_38:8_[M+H-H2O]1+" 619.4721 0 0 0 0 +"CE_14:0_[M+Na]1+" 619.5425 0 0 0 0 +"DG_37:1_[M+H-H2O]1+" 619.566 0 0 0 0 +"PE_27:1_[M+H]1+ / PA_29:2_[M+NH4]1+" 620.4286 0 0 0 0 +"PE-P_28:0_[M+H]1+" 620.465 0 0 0 0 +"DG_35:4_[M+NH4]1+" 620.5249 0 0 0 0 +"Cer_40:2_[M+H]1+" 620.5976 0 0 0 0 +"LPI_18:1_[M+Na]1+" 621.301 0 0 0 0 +"LPI_20:4_[M+H]1+" 621.3034 0 0 0 0 +"DG_38:7_[M+H-H2O]1+" 621.4877 0 0 0 0 +"DG_37:0_[M+H-H2O]1+" 621.5816 0 0 0 0 +"PC_24:0_[M+H]1+ / PE_27:0_[M+H]1+ / PA_29:1_[M+NH4]1+" 622.4442 0 0 0 0 +"PE-O_28:0_[M+H]1+" 622.4806 0 0 0 0 +"DG_35:3_[M+NH4]1+" 622.5405 0 0 0 0 +"Cer_40:1_[M+H]1+" 622.6133 0 0 0 0 +"LPI_18:0_[M+Na]1+" 623.3167 0 0 0 0 +"LPI_20:3_[M+H]1+" 623.3191 0 0 0 0 +"DG_38:6_[M+H-H2O]1+" 623.5034 0 0 0 0 +"PS_24:0_[M+H]1+" 624.3871 0 0 0 0 +"PA_29:0_[M+NH4]1+" 624.4599 0 0 0 0 +"DG_35:2_[M+NH4]1+" 624.5562 0 0 0 0 +"LPI_20:2_[M+H]1+" 625.3347 0 0 0 0 +"PA_29:2_[M+Na]1+" 625.384 0 0 0 0 +"PG_25:0_[M+H]1+" 625.4075 0 0 0 0 +"DG_38:5_[M+H-H2O]1+" 625.519 0 0 0 0 +"DG_36:8_[M+NH4]1+" 626.4779 0 0 0 0 +"DG_35:1_[M+NH4]1+" 626.5718 0 0 0 0 +"CE_15:1_[M+NH4]1+" 626.5871 0 0 0 0 +"LPI_20:1_[M+H]1+" 627.3504 0 0 0 0 +"PA_29:1_[M+Na]1+" 627.3996 0 0 0 0 +"DG_38:4_[M+H-H2O]1+" 627.5347 0 0 0 0 +"PG_24:0_[M+NH4]1+" 628.4184 0 0 0 0 +"DG_36:7_[M+NH4]1+" 628.4936 0 0 0 0 +"DG_35:0_[M+NH4]1+" 628.5875 0 0 0 0 +"CE_15:0_[M+NH4]1+" 628.6027 0 0 0 0 +"LPI_20:0_[M+H]1+" 629.366 0 0 0 0 +"PA_29:0_[M+Na]1+" 629.4153 0 0 0 0 +"DG_38:3_[M+H-H2O]1+" 629.5503 0 0 0 0 +"LPI_19:1_[M+NH4]1+" 630.3613 0 0 0 0 +"LPI-P_20:0_[M+NH4]1+" 630.3977 0 0 0 0 +"PA_30:4_[M+NH4]1+" 630.4129 0 0 0 0 +"DG_36:6_[M+NH4]1+" 630.5092 0 0 0 0 +"Cer_42:2_[M+H-H2O]1+" 630.6184 0 0 0 0 +"CE_15:1_[M+Na]1+" 631.5425 0 0 0 0 +"DG_38:2_[M+H-H2O]1+" 631.566 0 0 0 0 +"LPI_19:0_[M+NH4]1+" 632.3769 0 0 0 0 +"LPI-O_20:0_[M+NH4]1+" 632.4133 0 0 0 0 +"PE_28:2_[M+H]1+ / PA_30:3_[M+NH4]1+" 632.4286 0 0 0 0 +"DG_36:5_[M+NH4]1+" 632.5249 0 0 0 0 +"Cer_42:1_[M+H-H2O]1+" 632.634 0 0 0 0 +"PG_24:0_[M+Na]1+" 633.3738 0 0 0 0 +"DG_39:8_[M+H-H2O]1+" 633.4877 0 0 0 0 +"CE_15:0_[M+Na]1+" 633.5581 0 0 0 0 +"DG_38:1_[M+H-H2O]1+" 633.5816 0 0 0 0 +"PE_28:1_[M+H]1+ / PA_30:2_[M+NH4]1+" 634.4442 0 0 0 0 +"PE-P_29:0_[M+H]1+" 634.4806 0 0 0 0 +"DG_36:4_[M+NH4]1+" 634.5405 0 0 0 0 +"Cer_41:2_[M+H]1+" 634.6133 0 0 0 0 +"LPI_19:1_[M+Na]1+" 635.3167 0 0 0 0 +"LPI-P_20:0_[M+Na]1+" 635.3531 0 0 0 0 +"PA_30:4_[M+Na]1+" 635.3683 0 0 0 0 +"DG_39:7_[M+H-H2O]1+" 635.5034 0 0 0 0 +"DG_38:0_[M+H-H2O]1+" 635.5973 0 0 0 0 +"LPI_20:5_[M+NH4]1+" 636.3143 0 0 0 0 +"PC_25:0_[M+H]1+ / PE_28:0_[M+H]1+ / PA_30:1_[M+NH4]1+" 636.4599 0 0 0 0 +"PE-O_29:0_[M+H]1+" 636.4963 0 0 0 0 +"DG_36:3_[M+NH4]1+" 636.5562 0 0 0 0 +"CE_16:3_[M+NH4]1+" 636.5714 0 0 0 0 +"Cer_41:1_[M+H]1+" 636.6289 0 0 0 0 +"LPI_19:0_[M+Na]1+" 637.3323 0 0 0 0 +"LPI-O_20:0_[M+Na]1+" 637.3687 0 0 0 0 +"PA_30:3_[M+Na]1+" 637.384 0 0 0 0 +"PG_26:1_[M+H]1+" 637.4075 0 0 0 0 +"DG_39:6_[M+H-H2O]1+" 637.519 0 0 0 0 +"LPI_20:4_[M+NH4]1+" 638.33 0 0 0 0 +"PS_25:0_[M+H]1+" 638.4028 0 0 0 0 +"PA_30:0_[M+NH4]1+" 638.4755 0 0 0 0 +"DG_36:2_[M+NH4]1+" 638.5718 0 0 0 0 +"CE_16:2_[M+NH4]1+" 638.5871 0 0 0 0 +"PA_30:2_[M+Na]1+" 639.3996 0 0 0 0 +"PG_26:0_[M+H]1+" 639.4232 0 0 0 0 +"DG_39:5_[M+H-H2O]1+" 639.5347 0 0 0 0 +"LPI_20:3_[M+NH4]1+" 640.3456 0 0 0 0 +"DG_36:1_[M+NH4]1+" 640.5875 0 0 0 0 +"CE_16:1_[M+NH4]1+" 640.6027 0 0 0 0 +"LPI_20:5_[M+Na]1+" 641.2697 0 0 0 0 +"PA_30:1_[M+Na]1+" 641.4153 0 0 0 0 +"CE_16:3_[M+Na]1+" 641.5268 0 0 0 0 +"DG_39:4_[M+H-H2O]1+" 641.5503 0 0 0 0 +"LPI_20:2_[M+NH4]1+" 642.3613 0 0 0 0 +"PG_25:0_[M+NH4]1+" 642.4341 0 0 0 0 +"DG_37:7_[M+NH4]1+" 642.5092 0 0 0 0 +"DG_36:0_[M+NH4]1+" 642.6031 0 0 0 0 +"CE_16:0_[M+NH4]1+" 642.6184 0 0 0 0 +"LPI_20:4_[M+Na]1+" 643.2854 0 0 0 0 +"LPI_21:0_[M+H]1+" 643.3817 0 0 0 0 +"PA_30:0_[M+Na]1+" 643.4309 0 0 0 0 +"DG_40:10_[M+H-H2O]1+" 643.4721 0 0 0 0 +"CE_16:2_[M+Na]1+" 643.5425 0 0 0 0 +"DG_39:3_[M+H-H2O]1+" 643.566 0 0 0 0 +"LPI_20:1_[M+NH4]1+" 644.3769 0 0 0 0 +"PA_31:4_[M+NH4]1+" 644.4286 0 0 0 0 +"DG_37:6_[M+NH4]1+" 644.5249 0 0 0 0 +"LPI_20:3_[M+Na]1+" 645.301 0 0 0 0 +"LPI_22:6_[M+H]1+" 645.3034 0 0 0 0 +"DG_40:9_[M+H-H2O]1+" 645.4877 0 0 0 0 +"CE_16:1_[M+Na]1+" 645.5581 0 0 0 0 +"DG_39:2_[M+H-H2O]1+" 645.5816 0 0 0 0 +"PS_24:0_[M+Na]1+" 646.3691 0 0 0 0 +"LPI_20:0_[M+NH4]1+" 646.3926 0 0 0 0 +"PE_29:2_[M+H]1+ / PA_31:3_[M+NH4]1+" 646.4442 0 0 0 0 +"PE-P_30:1_[M+H]1+" 646.4806 0 0 0 0 +"DG_37:5_[M+NH4]1+" 646.5405 0 0 0 0 +"Cer_43:1_[M+H-H2O]1+" 646.6497 0 0 0 0 +"LPI_20:2_[M+Na]1+" 647.3167 0 0 0 0 +"PG_25:0_[M+Na]1+" 647.3895 0 0 0 0 +"DG_40:8_[M+H-H2O]1+" 647.5034 0 0 0 0 +"SM_30:1_[M+H]1+" 647.5123 0 0 0 0 +"CE_16:0_[M+Na]1+" 647.5738 0 0 0 0 +"DG_39:1_[M+H-H2O]1+" 647.5973 0 0 0 0 +"PC_26:1_[M+H]1+ / PE_29:1_[M+H]1+ / PA_31:2_[M+NH4]1+" 648.4599 0 0 0 0 +"PE-O_30:1_[M+H]1+" 648.4963 0 0 0 0 +"DG_37:4_[M+NH4]1+" 648.5562 0 0 0 0 +"Cer_42:2_[M+H]1+" 648.6289 0 0 0 0 +"LPI_20:1_[M+Na]1+" 649.3323 0 0 0 0 +"LPI_22:4_[M+H]1+" 649.3347 0 0 0 0 +"PA_31:4_[M+Na]1+" 649.384 0 0 0 0 +"DG_40:7_[M+H-H2O]1+" 649.519 0 0 0 0 +"SM_30:0_[M+H]1+" 649.5279 0 0 0 0 +"DG_39:0_[M+H-H2O]1+" 649.6129 0 0 0 0 +"PS_26:1_[M+H]1+" 650.4028 0 0 0 0 +"PC_26:0_[M+H]1+ / PE_29:0_[M+H]1+ / PA_31:1_[M+NH4]1+" 650.4755 0 0 0 0 +"PE-O_30:0_[M+H]1+" 650.5119 0 0 0 0 +"PC-2O_28:0_[M+H]1+" 650.5483 0 0 0 0 +"DG_37:3_[M+NH4]1+" 650.5718 0 0 0 0 +"Cer_42:1_[M+H]1+" 650.6446 0 0 0 0 +"LPI_20:0_[M+Na]1+" 651.348 0 0 0 0 +"PA_31:3_[M+Na]1+" 651.3996 0 0 0 0 +"PG_27:1_[M+H]1+" 651.4232 0 0 0 0 +"PG-P_28:0_[M+H]1+" 651.4595 0 0 0 0 +"DG_40:6_[M+H-H2O]1+" 651.5347 0 0 0 0 +"PS_26:0_[M+H]1+" 652.4184 0 0 0 0 +"PA_31:0_[M+NH4]1+" 652.4912 0 0 0 0 +"DG_38:9_[M+NH4]1+" 652.4936 0 0 0 0 +"DG_37:2_[M+NH4]1+" 652.5875 0 0 0 0 +"CE_17:2_[M+NH4]1+" 652.6027 0 0 0 0 +"LPI_22:2_[M+H]1+" 653.366 0 0 0 0 +"PA_31:2_[M+Na]1+" 653.4153 0 0 0 0 +"PG_27:0_[M+H]1+" 653.4388 0 0 0 0 +"PG-O_28:0_[M+H]1+" 653.4752 0 0 0 0 +"DG_40:5_[M+H-H2O]1+" 653.5503 0 0 0 0 +"PG_26:1_[M+NH4]1+" 654.4341 0 0 0 0 +"DG_38:8_[M+NH4]1+" 654.5092 0 0 0 0 +"DG_37:1_[M+NH4]1+" 654.6031 0 0 0 0 +"CE_17:1_[M+NH4]1+" 654.6184 0 0 0 0 +"LPI_22:1_[M+H]1+" 655.3817 0 0 0 0 +"PA_31:1_[M+Na]1+" 655.4309 0 0 0 0 +"DG_40:4_[M+H-H2O]1+" 655.566 0 0 0 0 +"PE_30:4_[M+H]1+ / PA_32:5_[M+NH4]1+" 656.4286 0 0 0 0 +"PG_26:0_[M+NH4]1+" 656.4497 0 0 0 0 +"DG_38:7_[M+NH4]1+" 656.5249 0 0 0 0 +"TG_36:0_[M+NH4]1+" 656.5824 0 0 0 0 +"DG_37:0_[M+NH4]1+" 656.6188 0 0 0 0 +"CE_17:0_[M+NH4]1+" 656.634 0 0 0 0 +"LPI_22:0_[M+H]1+" 657.3973 0 0 0 0 +"PA_31:0_[M+Na]1+" 657.4466 0 0 0 0 +"CE_17:2_[M+Na]1+" 657.5581 0 0 0 0 +"DG_40:3_[M+H-H2O]1+" 657.5816 0 0 0 0 +"PE_30:3_[M+H]1+ / PA_32:4_[M+NH4]1+" 658.4442 0 0 0 0 +"DG_38:6_[M+NH4]1+" 658.5405 0 0 0 0 +"Cer_44:2_[M+H-H2O]1+" 658.6497 0 0 0 0 +"PG_26:1_[M+Na]1+" 659.3895 0 0 0 0 +"CE_17:1_[M+Na]1+" 659.5738 0 0 0 0 +"DG_40:2_[M+H-H2O]1+" 659.5973 0 0 0 0 +"PS_25:0_[M+Na]1+" 660.3847 0 0 0 0 +"LPI_21:0_[M+NH4]1+" 660.4082 0 0 0 0 +"PE_30:2_[M+H]1+ / PA_32:3_[M+NH4]1+" 660.4599 0 0 0 0 +"PE-P_31:1_[M+H]1+" 660.4963 0 0 0 0 +"DG_38:5_[M+NH4]1+" 660.5562 0 0 0 0 +"Cer_44:1_[M+H-H2O]1+" 660.6653 0 0 0 0 +"PA_32:5_[M+Na]1+" 661.384 0 0 0 0 +"PG_26:0_[M+Na]1+" 661.4051 0 0 0 0 +"TG_36:0_[M+Na]1+" 661.5378 0 0 0 0 +"CE_17:0_[M+Na]1+" 661.5894 0 0 0 0 +"DG_40:1_[M+H-H2O]1+" 661.6129 0 0 0 0 +"LPI_22:6_[M+NH4]1+" 662.33 0 0 0 0 +"PC_27:1_[M+H]1+ / PE_30:1_[M+H]1+ / PA_32:2_[M+NH4]1+" 662.4755 0 0 0 0 +"PC-P_28:0_[M+H]1+ / PE-O_31:1_[M+H]1+" 662.5119 0 0 0 0 +"DG_38:4_[M+NH4]1+" 662.5718 0 0 0 0 +"CE_18:4_[M+NH4]1+" 662.5871 0 0 0 0 +"PA_32:4_[M+Na]1+" 663.3996 0 0 0 0 +"PG_28:2_[M+H]1+" 663.4232 0 0 0 0 +"DG_41:7_[M+H-H2O]1+" 663.5347 0 0 0 0 +"SM_31:1_[M+H]1+" 663.5436 0 0 0 0 +"DG_40:0_[M+H-H2O]1+" 663.6286 0 0 0 0 +"PS_27:1_[M+H]1+" 664.4184 0 0 0 0 +"PS-P_28:0_[M+H]1+" 664.4548 0 0 0 0 +"PC_27:0_[M+H]1+ / PE_30:0_[M+H]1+ / PA_32:1_[M+NH4]1+" 664.4912 0 0 0 0 +"PC-O_28:0_[M+H]1+ / PE-O_31:0_[M+H]1+" 664.5276 0 0 0 0 +"PE-2O_32:0_[M+H]1+" 664.564 0 0 0 0 +"DG_38:3_[M+NH4]1+" 664.5875 0 0 0 0 +"CE_18:3_[M+NH4]1+" 664.6027 0 0 0 0 +"Cer_43:1_[M+H]1+" 664.6602 0 0 0 0 +"LPI_21:0_[M+Na]1+" 665.3636 0 0 0 0 +"PA_32:3_[M+Na]1+" 665.4153 0 0 0 0 +"PG_28:1_[M+H]1+" 665.4388 0 0 0 0 +"PG-P_29:0_[M+H]1+" 665.4752 0 0 0 0 +"DG_41:6_[M+H-H2O]1+" 665.5503 0 0 0 0 +"LPI_22:4_[M+NH4]1+" 666.3613 0 0 0 0 +"PS_27:0_[M+H]1+" 666.4341 0 0 0 0 +"PS-O_29:1_[M+H]1+" 666.4704 0 0 0 0 +"PA_32:0_[M+NH4]1+" 666.5068 0 0 0 0 +"DG_38:2_[M+NH4]1+" 666.6031 0 0 0 0 +"CE_18:2_[M+NH4]1+" 666.6184 0 0 0 0 +"LPI_22:6_[M+Na]1+" 667.2854 0 0 0 0 +"PA_32:2_[M+Na]1+" 667.4309 0 0 0 0 +"PG_28:0_[M+H]1+" 667.4545 0 0 0 0 +"PG-O_29:0_[M+H]1+" 667.4908 0 0 0 0 +"CE_18:4_[M+Na]1+" 667.5425 0 0 0 0 +"DG_41:5_[M+H-H2O]1+" 667.566 0 0 0 0 +"PG_27:1_[M+NH4]1+" 668.4497 0 0 0 0 +"PG-P_28:0_[M+NH4]1+" 668.4861 0 0 0 0 +"DG_39:8_[M+NH4]1+" 668.5249 0 0 0 0 +"DG_38:1_[M+NH4]1+" 668.6188 0 0 0 0 +"CE_18:1_[M+NH4]1+" 668.634 0 0 0 0 +"PA_32:1_[M+Na]1+" 669.4466 0 0 0 0 +"DG_42:11_[M+H-H2O]1+" 669.4877 0 0 0 0 +"CE_18:3_[M+Na]1+" 669.5581 0 0 0 0 +"DG_41:4_[M+H-H2O]1+" 669.5816 0 0 0 0 +"LPI_22:2_[M+NH4]1+" 670.3926 0 0 0 0 +"PE_31:4_[M+H]1+ / PA_33:5_[M+NH4]1+" 670.4442 0 0 0 0 +"PG_27:0_[M+NH4]1+" 670.4654 0 0 0 0 +"PG-O_28:0_[M+NH4]1+" 670.5017 0 0 0 0 +"DG_39:7_[M+NH4]1+" 670.5405 0 0 0 0 +"TG_37:0_[M+NH4]1+" 670.598 0 0 0 0 +"DG_38:0_[M+NH4]1+" 670.6344 0 0 0 0 +"CE_18:0_[M+NH4]1+" 670.6497 0 0 0 0 +"LPI_22:4_[M+Na]1+" 671.3167 0 0 0 0 +"PA_32:0_[M+Na]1+" 671.4622 0 0 0 0 +"DG_42:10_[M+H-H2O]1+" 671.5034 0 0 0 0 +"CE_18:2_[M+Na]1+" 671.5738 0 0 0 0 +"DG_41:3_[M+H-H2O]1+" 671.5973 0 0 0 0 +"PS_26:1_[M+Na]1+" 672.3847 0 0 0 0 +"LPI_22:1_[M+NH4]1+" 672.4082 0 0 0 0 +"PE_31:3_[M+H]1+ / PA_33:4_[M+NH4]1+" 672.4599 0 0 0 0 +"DG_39:6_[M+NH4]1+" 672.5562 0 0 0 0 +"PG_27:1_[M+Na]1+" 673.4051 0 0 0 0 +"PG-P_28:0_[M+Na]1+" 673.4415 0 0 0 0 +"DG_42:9_[M+H-H2O]1+" 673.519 0 0 0 0 +"SM_32:2_[M+H]1+" 673.5279 0 0 0 0 +"CE_18:1_[M+Na]1+" 673.5894 0 0 0 0 +"DG_41:2_[M+H-H2O]1+" 673.6129 0 0 0 0 +"PS_26:0_[M+Na]1+" 674.4004 0 0 0 0 +"LPI_22:0_[M+NH4]1+" 674.4239 0 0 0 0 +"PC_28:2_[M+H]1+ / PE_31:2_[M+H]1+ / PA_33:3_[M+NH4]1+" 674.4755 0 0 0 0 +"PE-P_32:1_[M+H]1+" 674.5119 0 0 0 0 +"DG_39:5_[M+NH4]1+" 674.5718 0 0 0 0 +"LPI_22:2_[M+Na]1+" 675.348 0 0 0 0 +"PA_33:5_[M+Na]1+" 675.3996 0 0 0 0 +"PG_27:0_[M+Na]1+" 675.4208 0 0 0 0 +"PG-O_28:0_[M+Na]1+" 675.4571 0 0 0 0 +"DG_42:8_[M+H-H2O]1+" 675.5347 0 0 0 0 +"SM_32:1_[M+H]1+" 675.5436 0 0 0 0 +"TG_37:0_[M+Na]1+" 675.5534 0 0 0 0 +"CE_18:0_[M+Na]1+" 675.6051 0 0 0 0 +"DG_41:1_[M+H-H2O]1+" 675.6286 0 0 0 0 +"2H-IS_CE_[M+NH4]1+" 675.681 0 0 0 0 +"PS_28:2_[M+H]1+" 676.4184 0 0 0 0 +"PC_28:1_[M+H]1+ / PE_31:1_[M+H]1+ / PA_33:2_[M+NH4]1+" 676.4912 0 0 0 0 +"PC-P_29:0_[M+H]1+ / PE-O_32:1_[M+H]1+" 676.5276 0 0 0 0 +"DG_39:4_[M+NH4]1+" 676.5875 0 0 0 0 +"Cer_44:2_[M+H]1+" 676.6602 0 0 0 0 +"2H-IS_CE_[M+NH4]1+" 676.6961 0 0 0 0 +"LPI_22:1_[M+Na]1+" 677.3636 0 0 0 0 +"PA_33:4_[M+Na]1+" 677.4153 0 0 0 0 +"PG_29:2_[M+H]1+" 677.4388 0 0 0 0 +"PG-P_30:1_[M+H]1+" 677.4752 0 0 0 0 +"DG_42:7_[M+H-H2O]1+" 677.5503 0 0 0 0 +"SM_32:0_[M+H]1+" 677.5592 0 0 0 0 +"DG_41:0_[M+H-H2O]1+" 677.6442 0 0 0 0 +"2H-IS_CE_[M+NH4]1+" 677.6896 0 0 0 0 +"PS_28:1_[M+H]1+" 678.4341 0 0 0 0 +"PS-P_29:0_[M+H]1+" 678.4704 0 0 0 0 +"PC_28:0_[M+H]1+ / PE_31:0_[M+H]1+ / PA_33:1_[M+NH4]1+" 678.5068 0 0 0 0 +"DG_40:10_[M+NH4]1+" 678.5092 0 0 0 0 +"PC-O_29:0_[M+H]1+ / PE-O_32:0_[M+H]1+" 678.5432 0 0 0 0 +"PE-2O_33:0_[M+H]1+" 678.5796 0 0 0 0 +"DG_39:3_[M+NH4]1+" 678.6031 0 0 0 0 +"Cer_44:1_[M+H]1+" 678.6759 0 0 0 0 +"2H-IS_CE_[M+NH4]1+" 678.6934 0 0 0 0 +"LPI_22:0_[M+Na]1+" 679.3793 0 0 0 0 +"PA_33:3_[M+Na]1+" 679.4309 0 0 0 0 +"PG_29:1_[M+H]1+" 679.4545 0 0 0 0 +"PG-O_30:1_[M+H]1+" 679.4908 0 0 0 0 +"DG_42:6_[M+H-H2O]1+" 679.566 0 0 0 0 +"PS_28:0_[M+H]1+ / PG_28:2_[M+NH4]1+" 680.4497 0 0 0 0 +"PS-O_29:0_[M+H]1+" 680.4861 0 0 0 0 +"PA_33:0_[M+NH4]1+" 680.5225 0 0 0 0 +"DG_40:9_[M+NH4]1+" 680.5249 0 0 0 0 +"DG_39:2_[M+NH4]1+" 680.6188 0 0 0 0 +"PA_33:2_[M+Na]1+" 681.4466 0 0 0 0 +"PG_29:0_[M+H]1+" 681.4701 0 0 0 0 +"PG-O_30:0_[M+H]1+" 681.5065 0 0 0 0 +"DG_42:5_[M+H-H2O]1+" 681.5816 0 0 0 0 +"PE_32:5_[M+H]1+ / PA_34:6_[M+NH4]1+" 682.4442 0 0 0 0 +"PG_28:1_[M+NH4]1+" 682.4654 0 0 0 0 +"PG-P_29:0_[M+NH4]1+" 682.5017 0 0 0 0 +"DG_40:8_[M+NH4]1+" 682.5405 0 0 0 0 +"TG_38:1_[M+NH4]1+" 682.598 0 0 0 0 +"DG_39:1_[M+NH4]1+" 682.6344 0 0 0 0 +"PA_33:1_[M+Na]1+" 683.4622 0 0 0 0 +"DG_42:4_[M+H-H2O]1+" 683.5973 0 0 0 0 +"PE_32:4_[M+H]1+ / PA_34:5_[M+NH4]1+" 684.4599 0 0 0 0 +"PG_28:0_[M+NH4]1+" 684.481 0 0 0 0 +"PG-O_29:0_[M+NH4]1+" 684.5174 0 0 0 0 +"DG_40:7_[M+NH4]1+" 684.5562 0 0 0 0 +"TG_38:0_[M+NH4]1+" 684.6137 0 0 0 0 +"DG_39:0_[M+NH4]1+" 684.6501 0 0 0 0 +"CE_19:0_[M+NH4]1+" 684.6653 0 0 0 0 +"PG_28:2_[M+Na]1+" 685.4051 0 0 0 0 +"PA_33:0_[M+Na]1+" 685.4779 0 0 0 0 +"DG_42:3_[M+H-H2O]1+" 685.6129 0 0 0 0 +"PS_27:1_[M+Na]1+" 686.4004 0 0 0 0 +"PS-P_28:0_[M+Na]1+" 686.4367 0 0 0 0 +"PE_32:3_[M+H]1+ / PA_34:4_[M+NH4]1+" 686.4755 0 0 0 0 +"PE-P_33:2_[M+H]1+" 686.5119 0 0 0 0 +"DG_40:6_[M+NH4]1+" 686.5718 0 0 0 0 +"PA_34:6_[M+Na]1+" 687.3996 0 0 0 0 +"PG_28:1_[M+Na]1+" 687.4208 0 0 0 0 +"PG_30:4_[M+H]1+" 687.4232 0 0 0 0 +"PG-P_29:0_[M+Na]1+" 687.4571 0 0 0 0 +"SM_33:2_[M+H]1+" 687.5436 0 0 0 0 +"TG_38:1_[M+Na]1+" 687.5534 0 0 0 0 +"DG_42:2_[M+H-H2O]1+" 687.6286 0 0 0 0 +"PS_27:0_[M+Na]1+" 688.416 0 0 0 0 +"PS-O_29:1_[M+Na]1+" 688.4524 0 0 0 0 +"PC_29:2_[M+H]1+ / PE_32:2_[M+H]1+ / PA_34:3_[M+NH4]1+" 688.4912 0 0 0 0 +"PC-P_30:1_[M+H]1+ / PE-O_33:2_[M+H]1+" 688.5276 0 0 0 0 +"DG_40:5_[M+NH4]1+" 688.5875 0 0 0 0 +"CE_20:5_[M+NH4]1+" 688.6027 0 0 0 0 +"PA_34:5_[M+Na]1+" 689.4153 0 0 0 0 +"PG_28:0_[M+Na]1+" 689.4364 0 0 0 0 +"PG_30:3_[M+H]1+" 689.4388 0 0 0 0 +"PG-O_29:0_[M+Na]1+" 689.4728 0 0 0 0 +"SM_33:1_[M+H]1+" 689.5592 0 0 0 0 +"TG_38:0_[M+Na]1+" 689.5691 0 0 0 0 +"CE_19:0_[M+Na]1+" 689.6207 0 0 0 0 +"DG_42:1_[M+H-H2O]1+" 689.6442 0 0 0 0 +"PS_29:2_[M+H]1+" 690.4341 0 0 0 0 +"PS-P_30:1_[M+H]1+" 690.4704 0 0 0 0 +"PC_29:1_[M+H]1+ / PE_32:1_[M+H]1+ / PA_34:2_[M+NH4]1+" 690.5068 0 0 0 0 +"PC-O-30:1_[M+H]1+ / PE-O_33:1_[M+H]1+" 690.5432 0 0 0 0 +"DG_40:4_[M+NH4]1+" 690.6031 0 0 0 0 +"CE_20:4_[M+NH4]1+" 690.6184 0 0 0 0 +"PA_34:4_[M+Na]1+" 691.4309 0 0 0 0 +"PG_30:2_[M+H]1+" 691.4545 0 0 0 0 +"PG-P_31:1_[M+H]1+" 691.4908 0 0 0 0 +"SM_33:0_[M+H]1+" 691.5749 0 0 0 0 +"DG_42:0_[M+H-H2O]1+" 691.6599 0 0 0 0 +"PS_29:1_[M+H]1+" 692.4497 0 0 0 0 +"PS-O_30:1_[M+H]1+" 692.4861 0 0 0 0 +"PC_29:0_[M+H]1+ / PE_32:0_[M+H]1+ / PA_34:1_[M+NH4]1+" 692.5225 0 0 0 0 +"PC-O-30:0_[M+H]1+ / PE-O_33:0_[M+H]1+" 692.5589 0 0 0 0 +"DG_40:3_[M+NH4]1+" 692.6188 0 0 0 0 +"CE_20:3_[M+NH4]1+" 692.634 0 0 0 0 +"PA_34:3_[M+Na]1+" 693.4466 0 0 0 0 +"PG_30:1_[M+H]1+" 693.4701 0 0 0 0 +"PG-O_31:1_[M+H]1+" 693.5065 0 0 0 0 +"CE_20:5_[M+Na]1+" 693.5581 0 0 0 0 +"DG_43:6_[M+H-H2O]1+" 693.5816 0 0 0 0 +"PS_29:0_[M+H]1+ / PG_29:2_[M+NH4]1+" 694.4654 0 0 0 0 +"PS-O_30:0_[M+H]1+ / PG-P_30:1_[M+NH4]1+" 694.5017 0 0 0 0 +"PA_34:0_[M+NH4]1+" 694.5381 0 0 0 0 +"DG_40:2_[M+NH4]1+" 694.6344 0 0 0 0 +"CE_20:2_[M+NH4]1+" 694.6497 0 0 0 0 +"PA_34:2_[M+Na]1+" 695.4622 0 0 0 0 +"PG_30:0_[M+H]1+" 695.4858 0 0 0 0 +"DG_44:12_[M+H-H2O]1+" 695.5034 0 0 0 0 +"PG-O_31:0_[M+H]1+" 695.5221 0 0 0 0 +"CE_20:4_[M+Na]1+" 695.5738 0 0 0 0 +"DG_43:5_[M+H-H2O]1+" 695.5973 0 0 0 0 +"PE_33:5_[M+H]1+ / PA_35:6_[M+NH4]1+" 696.4599 0 0 0 0 +"PG_29:1_[M+NH4]1+" 696.481 0 0 0 0 +"PE-P_34:4_[M+H]1+" 696.4963 0 0 0 0 +"PG-O_30:1_[M+NH4]1+" 696.5174 0 0 0 0 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+"PS-P_29:0_[M+Na]1+" 700.4524 0 0 0 0 +"PC_30:3_[M+H]1+ / PE_33:3_[M+H]1+ / PA_35:4_[M+NH4]1+" 700.4912 0 0 0 0 +"PE-O_34:3_[M+H]1+" 700.5276 0 0 0 0 +"DG_41:6_[M+NH4]1+" 700.5875 0 0 0 0 +"PA_35:6_[M+Na]1+" 701.4153 0 0 0 0 +"PG_29:1_[M+Na]1+" 701.4364 0 0 0 0 +"PG_31:4_[M+H]1+" 701.4388 0 0 0 0 +"PG-O_30:1_[M+Na]1+" 701.4728 0 0 0 0 +"DG_44:9_[M+H-H2O]1+" 701.5503 0 0 0 0 +"SM_34:2_[M+H]1+" 701.5592 0 0 0 0 +"TG_39:1_[M+Na]1+" 701.5691 0 0 0 0 +"CE_20:1_[M+Na]1+" 701.6207 0 0 0 0 +"DG_43:2_[M+H-H2O]1+" 701.6442 0 0 0 0 +"PS_28:0_[M+Na]1+" 702.4317 0 0 0 0 +"PS_30:3_[M+H]1+" 702.4341 0 0 0 0 +"PS-O_29:0_[M+Na]1+" 702.468 0 0 0 0 +"PC_30:2_[M+H]1+ / PE_33:2_[M+H]1+ / PA_35:3_[M+NH4]1+" 702.5068 0 0 0 0 +"PC-P_31:1_[M+H]1+ / PE-O_34:2_[M+H]1+" 702.5432 0 0 0 0 +"DG_41:5_[M+NH4]1+" 702.6031 0 0 0 0 +"PA_35:5_[M+Na]1+" 703.4309 0 0 0 0 +"PG_29:0_[M+Na]1+" 703.4521 0 0 0 0 +"PG_31:3_[M+H]1+" 703.4545 0 0 0 0 +"PG-O_30:0_[M+Na]1+" 703.4884 0 0 0 0 +"DG_44:8_[M+H-H2O]1+" 703.566 0 0 0 0 +"SM_34:1_[M+H]1+" 703.5749 0 0 0 0 +"TG_39:0_[M+Na]1+" 703.5847 0 0 0 0 +"CE_20:0_[M+Na]1+" 703.6364 0 0 0 0 +"DG_43:1_[M+H-H2O]1+" 703.6599 0 0 0 0 +"PS_30:2_[M+H]1+ / PG_30:4_[M+NH4]1+" 704.4497 0 0 0 0 +"PS-P_31:1_[M+H]1+" 704.4861 0 0 0 0 +"PC_30:1_[M+H]1+ / PE_33:1_[M+H]1+ / PA_35:2_[M+NH4]1+" 704.5225 0 0 0 0 +"DG_42:11_[M+NH4]1+" 704.5249 0 0 0 0 +"PC-O-31:1_[M+H]1+ / PE-O_34:1_[M+H]1+" 704.5589 0 0 0 0 +"DG_41:4_[M+NH4]1+" 704.6188 0 0 0 0 +"PA_35:4_[M+Na]1+" 705.4466 0 0 0 0 +"PG_31:2_[M+H]1+" 705.4701 0 0 0 0 +"PG-P_32:1_[M+H]1+" 705.5065 0 0 0 0 +"DG_44:7_[M+H-H2O]1+" 705.5816 0 0 0 0 +"SM_34:0_[M+H]1+" 705.5905 0 0 0 0 +"DG_43:0_[M+H-H2O]1+" 705.6755 0 0 0 0 +"PA_36:8_[M+NH4]1+" 706.4442 0 0 0 0 +"PS_30:1_[M+H]1+ / PG_30:3_[M+NH4]1+" 706.4654 0 0 0 0 +"PS-O_31:1_[M+H]1+" 706.5017 0 0 0 0 +"PC_30:0_[M+H]1+ / PE_33:0_[M+H]1+ / PA_35:1_[M+NH4]1+" 706.5381 0 0 0 0 +"DG_42:10_[M+NH4]1+" 706.5405 0 0 0 0 +"PC-O-31:0_[M+H]1+ / PE-O_34:0_[M+H]1+" 706.5745 0 0 0 0 +"PC-2O_32:0_[M+H]1+" 706.6109 0 0 0 0 +"DG_41:3_[M+NH4]1+" 706.6344 0 0 0 0 +"PA_35:3_[M+Na]1+" 707.4622 0 0 0 0 +"PG_31:1_[M+H]1+" 707.4858 0 0 0 0 +"PG-O_32:1_[M+H]1+" 707.5221 0 0 0 0 +"DG_44:6_[M+H-H2O]1+" 707.5973 0 0 0 0 +"PE_34:6_[M+H]1+ / PA_36:7_[M+NH4]1+" 708.4599 0 0 0 0 +"PS_30:0_[M+H]1+ / PG_30:2_[M+NH4]1+" 708.481 0 0 0 0 +"PS-O_31:0_[M+H]1+ / PG-P_31:1_[M+NH4]1+" 708.5174 0 0 0 0 +"PA_35:0_[M+NH4]1+" 708.5538 0 0 0 0 +"DG_42:9_[M+NH4]1+" 708.5562 0 0 0 0 +"TG_40:2_[M+NH4]1+" 708.6137 0 0 0 0 +"DG_41:2_[M+NH4]1+" 708.6501 0 0 0 0 +"PG_30:4_[M+Na]1+" 709.4051 0 0 0 0 +"PA_35:2_[M+Na]1+" 709.4779 0 0 0 0 +"PG_31:0_[M+H]1+" 709.5014 0 0 0 0 +"PG-O_32:0_[M+H]1+" 709.5378 0 0 0 0 +"DG_44:5_[M+H-H2O]1+" 709.6129 0 0 0 0 +"PE_34:5_[M+H]1+ / PA_36:6_[M+NH4]1+" 710.4755 0 0 0 0 +"PG_30:1_[M+NH4]1+" 710.4967 0 0 0 0 +"PG-O_31:1_[M+NH4]1+" 710.533 0 0 0 0 +"DG_42:8_[M+NH4]1+" 710.5718 0 0 0 0 +"TG_40:1_[M+NH4]1+" 710.6293 0 0 0 0 +"DG_41:1_[M+NH4]1+" 710.6657 0 0 0 0 +"PA_36:8_[M+Na]1+" 711.3996 0 0 0 0 +"PG_30:3_[M+Na]1+" 711.4208 0 0 0 0 +"PA_35:1_[M+Na]1+" 711.4935 0 0 0 0 +"DG_44:4_[M+H-H2O]1+" 711.6286 0 0 0 0 +"PS_29:2_[M+Na]1+" 712.416 0 0 0 0 +"PS-P_30:1_[M+Na]1+" 712.4524 0 0 0 0 +"PC_31:4_[M+H]1+ / PE_34:4_[M+H]1+ / PA_36:5_[M+NH4]1+" 712.4912 0 0 0 0 +"PG_30:0_[M+NH4]1+" 712.5123 0 0 0 0 +"PG-O_31:0_[M+NH4]1+" 712.5487 0 0 0 0 +"DG_42:7_[M+NH4]1+" 712.5875 0 0 0 0 +"TG_40:0_[M+NH4]1+" 712.645 0 0 0 0 +"DG_41:0_[M+NH4]1+" 712.6814 0 0 0 0 +"PA_36:7_[M+Na]1+" 713.4153 0 0 0 0 +"PI_25:0_[M+H]1+" 713.4236 0 0 0 0 +"PG_30:2_[M+Na]1+" 713.4364 0 0 0 0 +"PG_32:5_[M+H]1+" 713.4388 0 0 0 0 +"PG-P_31:1_[M+Na]1+" 713.4728 0 0 0 0 +"PA_35:0_[M+Na]1+" 713.5092 0 0 0 0 +"TG_40:2_[M+Na]1+" 713.5691 0 0 0 0 +"DG_44:3_[M+H-H2O]1+" 713.6442 0 0 0 0 +"PS_29:1_[M+Na]1+" 714.4317 0 0 0 0 +"PS_31:4_[M+H]1+" 714.4341 0 0 0 0 +"PS-O_30:1_[M+Na]1+" 714.468 0 0 0 0 +"PC_31:3_[M+H]1+ / PE_34:3_[M+H]1+ / PA_36:4_[M+NH4]1+" 714.5068 0 0 0 0 +"PC-O_32:3_[M+H]1+ / PE-P_35:2_[M+H]1+" 714.5432 0 0 0 0 +"DG_42:6_[M+NH4]1+" 714.6031 0 0 0 0 +"CE_22:6_[M+NH4]1+" 714.6184 0 0 0 0 +"PA_36:6_[M+Na]1+" 715.4309 0 0 0 0 +"PG_30:1_[M+Na]1+" 715.4521 0 0 0 0 +"PG_32:4_[M+H]1+" 715.4545 0 0 0 0 +"PG-O_31:1_[M+Na]1+" 715.4884 0 0 0 0 +"TG_40:1_[M+Na]1+" 715.5847 0 0 0 0 +"DG_44:2_[M+H-H2O]1+" 715.6599 0 0 0 0 +"PI_24:0_[M+NH4]1+" 716.4345 0 0 0 0 +"PS_29:0_[M+Na]1+" 716.4473 0 0 0 0 +"PS_31:3_[M+H]1+" 716.4497 0 0 0 0 +"PS-O_30:0_[M+Na]1+" 716.4837 0 0 0 0 +"PC_31:2_[M+H]1+ / PE_34:2_[M+H]1+ / PA_36:3_[M+NH4]1+" 716.5225 0 0 0 0 +"PC-O_32:2_[M+H]1+ / PE-O_35:2_[M+H]1+" 716.5589 0 0 0 0 +"DG_42:5_[M+NH4]1+" 716.6188 0 0 0 0 +"CE_22:5_[M+NH4]1+" 716.634 0 0 0 0 +"PA_36:5_[M+Na]1+" 717.4466 0 0 0 0 +"PG_30:0_[M+Na]1+" 717.4677 0 0 0 0 +"PG_32:3_[M+H]1+" 717.4701 0 0 0 0 +"PG-O_31:0_[M+Na]1+" 717.5041 0 0 0 0 +"PG-P_33:2_[M+H]1+" 717.5065 0 0 0 0 +"SM_35:1_[M+H]1+" 717.5905 0 0 0 0 +"TG_40:0_[M+Na]1+" 717.6004 0 0 0 0 +"DG_44:1_[M+H-H2O]1+" 717.6755 0 0 0 0 +"PS_31:2_[M+H]1+ / PG_31:4_[M+NH4]1+" 718.4654 0 0 0 0 +"PS-P_32:1_[M+H]1+" 718.5017 0 0 0 0 +"PC_31:1_[M+H]1+ / PE_34:1_[M+H]1+ / PA_36:2_[M+NH4]1+" 718.5381 0 0 0 0 +"PC-O_32:1_[M+H]1+ / PE-O_35:1_[M+H]1+" 718.5745 0 0 0 0 +"DG_42:4_[M+NH4]1+" 718.6344 0 0 0 0 +"CE_22:4_[M+NH4]1+" 718.6497 0 0 0 0 +"PA_36:4_[M+Na]1+" 719.4622 0 0 0 0 +"PG_32:2_[M+H]1+" 719.4858 0 0 0 0 +"PG-O_33:2_[M+H]1+" 719.5221 0 0 0 0 +"CE_22:6_[M+Na]1+" 719.5738 0 0 0 0 +"SM_35:0_[M+H]1+" 719.6062 0 0 0 0 +"DG_44:0_[M+H-H2O]1+" 719.6912 0 0 0 0 +"PS_31:1_[M+H]1+ / PG_31:3_[M+NH4]1+" 720.481 0 0 0 0 +"PS-O_32:1_[M+H]1+" 720.5174 0 0 0 0 +"PC_31:0_[M+H]1+ / PE_34:0_[M+H]1+ / PA_36:1_[M+NH4]1+" 720.5538 0 0 0 0 +"PC-O_32:0_[M+H]1+ / PE-O_35:0_[M+H]1+" 720.5902 0 0 0 0 +"PE-2O_36:0_[M+H]1+" 720.6266 0 0 0 0 +"DG_42:3_[M+NH4]1+" 720.6501 0 0 0 0 +"CE_22:3_[M+NH4]1+" 720.6653 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 720.6982 0 0 0 0 +"PI_24:0_[M+Na]1+" 721.3899 0 0 0 0 +"PA_36:3_[M+Na]1+" 721.4779 0 0 0 0 +"PG_32:1_[M+H]1+" 721.5014 0 0 0 0 +"PG-O_33:1_[M+H]1+" 721.5378 0 0 0 0 +"CE_22:5_[M+Na]1+" 721.5894 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 721.7042 0 0 0 0 +"PS_30:4_[M+Na]1+" 722.4004 0 0 0 0 +"PE_35:6_[M+H]1+ / PA_37:7_[M+NH4]1+" 722.4755 0 0 0 0 +"PS_31:0_[M+H]1+ / PG_31:2_[M+NH4]1+" 722.4967 0 0 0 0 +"PE-P_36:5_[M+H]1+" 722.5119 0 0 0 0 +"PS-O_32:0_[M+H]1+ / PG-P_32:1_[M+NH4]1+" 722.533 0 0 0 0 +"PA_36:0_[M+NH4]1+" 722.5694 0 0 0 0 +"TG_41:2_[M+NH4]1+" 722.6293 0 0 0 0 +"DG_42:2_[M+NH4]1+" 722.6657 0 0 0 0 +"CE_22:2_[M+NH4]1+" 722.681 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 722.7096 0 0 0 0 +"PG_31:4_[M+Na]1+" 723.4208 0 0 0 0 +"PA_36:2_[M+Na]1+" 723.4935 0 0 0 0 +"PG_32:0_[M+H]1+" 723.5171 0 0 0 0 +"PG-O_33:0_[M+H]1+" 723.5534 0 0 0 0 +"CE_22:4_[M+Na]1+" 723.6051 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 723.715 0 0 0 0 +"PS_30:3_[M+Na]1+" 724.416 0 0 0 0 +"PC_32:5_[M+H]1+ / PE_35:5_[M+H]1+ / PA_37:6_[M+NH4]1+" 724.4912 0 0 0 0 +"PG_31:1_[M+NH4]1+" 724.5123 0 0 0 0 +"PE-O_36:5_[M+H]1+" 724.5276 0 0 0 0 +"PG-O_32:1_[M+NH4]1+" 724.5487 0 0 0 0 +"TG_41:1_[M+NH4]1+" 724.645 0 0 0 0 +"DG_42:1_[M+NH4]1+" 724.6814 0 0 0 0 +"CE_22:1_[M+NH4]1+" 724.6966 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 724.7197 0 0 0 0 +"PI_26:1_[M+H]1+" 725.4236 0 0 0 0 +"PG_31:3_[M+Na]1+" 725.4364 0 0 0 0 +"PA_36:1_[M+Na]1+" 725.5092 0 0 0 0 +"CE_22:3_[M+Na]1+" 725.6207 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 725.6534 0 0 0 0 +"PS_30:2_[M+Na]1+" 726.4317 0 0 0 0 +"PS_32:5_[M+H]1+" 726.4341 0 0 0 0 +"PS-P_31:1_[M+Na]1+" 726.468 0 0 0 0 +"PC_32:4_[M+H]1+ / PE_35:4_[M+H]1+ / PA_37:5_[M+NH4]1+" 726.5068 0 0 0 0 +"PG_31:0_[M+NH4]1+" 726.528 0 0 0 0 +"PE-O_36:4_[M+H]1+" 726.5432 0 0 0 0 +"PG-O_32:0_[M+NH4]1+" 726.5643 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 726.6596 0 0 0 0 +"TG_41:0_[M+NH4]1+" 726.6606 0 0 0 0 +"DG_42:0_[M+NH4]1+" 726.697 0 0 0 0 +"CE_22:0_[M+NH4]1+" 726.7123 0 0 0 0 +"PA_37:7_[M+Na]1+" 727.4309 0 0 0 0 +"PI_26:0_[M+H]1+" 727.4392 0 0 0 0 +"PG_31:2_[M+Na]1+" 727.4521 0 0 0 0 +"PG_33:5_[M+H]1+" 727.4545 0 0 0 0 +"PG-P_32:1_[M+Na]1+" 727.4884 0 0 0 0 +"PG-P_34:4_[M+H]1+" 727.4908 0 0 0 0 +"PA_36:0_[M+Na]1+" 727.5248 0 0 0 0 +"SM_36:3_[M+H]1+" 727.5749 0 0 0 0 +"TG_41:2_[M+Na]1+" 727.5847 0 0 0 0 +"CE_22:2_[M+Na]1+" 727.6364 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 727.6654 0 0 0 0 +"PS_30:1_[M+Na]1+" 728.4473 0 0 0 0 +"PS_32:4_[M+H]1+" 728.4497 0 0 0 0 +"PS-O_31:1_[M+Na]1+" 728.4837 0 0 0 0 +"PC_32:3_[M+H]1+ / PE_35:3_[M+H]1+ / PA_37:4_[M+NH4]1+" 728.5225 0 0 0 0 +"PC-P_33:2_[M+H]1+ / PE-O_36:3_[M+H]1+" 728.5589 0 0 0 0 +"DG_43:6_[M+NH4]1+" 728.6188 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 728.6711 0 0 0 0 +"2H-IS_PS_[M+H]1+" 728.7509 0 0 0 0 +"PA_37:6_[M+Na]1+" 729.4466 0 0 0 0 +"PG_31:1_[M+Na]1+" 729.4677 0 0 0 0 +"PG_33:4_[M+H]1+" 729.4701 0 0 0 0 +"PG-O_32:1_[M+Na]1+" 729.5041 0 0 0 0 +"PG-O_34:4_[M+H]1+" 729.5065 0 0 0 0 +"SM_36:2_[M+H]1+" 729.5905 0 0 0 0 +"TG_41:1_[M+Na]1+" 729.6004 0 0 0 0 +"CE_22:1_[M+Na]1+" 729.652 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 729.6752 0 0 0 0 +"2H-IS_PS_[M+H]1+" 729.7572 0 0 0 0 +"PI_25:0_[M+NH4]1+" 730.4501 0 0 0 0 +"PS_30:0_[M+Na]1+" 730.463 0 0 0 0 +"PS_32:3_[M+H]1+ / PG_32:5_[M+NH4]1+" 730.4654 0 0 0 0 +"PS-O_31:0_[M+Na]1+" 730.4993 0 0 0 0 +"PS-P_33:2_[M+H]1+" 730.5017 0 0 0 0 +"PC_32:2_[M+H]1+ / PE_35:2_[M+H]1+ / PA_37:3_[M+NH4]1+" 730.5381 0 0 0 0 +"DG_44:12_[M+NH4]1+" 730.5405 0 0 0 0 +"PC-O_33:2_[M+H]1+ / PE-O_36:2_[M+H]1+" 730.5745 0 0 0 0 +"DG_43:5_[M+NH4]1+" 730.6344 0 0 0 0 +"2H-IS_PS_[M+H]1+" 730.7633 0 0 0 0 +"PA_37:5_[M+Na]1+" 731.4622 0 0 0 0 +"PG_31:0_[M+Na]1+" 731.4834 0 0 0 0 +"PG_33:3_[M+H]1+" 731.4858 0 0 0 0 +"PG-O_32:0_[M+Na]1+" 731.5197 0 0 0 0 +"PG-O_34:3_[M+H]1+" 731.5221 0 0 0 0 +"SM_36:1_[M+H]1+" 731.6062 0 0 0 0 +"TG_41:0_[M+Na]1+" 731.616 0 0 0 0 +"CE_22:0_[M+Na]1+" 731.6677 0 0 0 0 +"2H-IS_PS_[M+H]1+" 731.769 0 0 0 0 +"PE_36:8_[M+H]1+ / PA_38:9_[M+NH4]1+" 732.4599 0 0 0 0 +"PS_32:2_[M+H]1+ / PG_32:4_[M+NH4]1+" 732.481 0 0 0 0 +"PS-O_33:2_[M+H]1+" 732.5174 0 0 0 0 +"PC_32:1_[M+H]1+ / PE_35:1_[M+H]1+ / PA_37:2_[M+NH4]1+" 732.5538 0 0 0 0 +"DG_44:11_[M+NH4]1+" 732.5562 0 0 0 0 +"PC-O_33:1_[M+H]1+ / PE-O_36:1_[M+H]1+" 732.5902 0 0 0 0 +"TG_42:4_[M+NH4]1+" 732.6137 0 0 0 0 +"PC-2O_34:1_[M+H]1+" 732.6266 0 0 0 0 +"DG_43:4_[M+NH4]1+" 732.6501 0 0 0 0 +"2H-IS_SM_[M+H]1+" 732.7559 0 0 0 0 +"2H-IS_PS_[M+H]1+" 732.7748 0 0 0 0 +"PA_37:4_[M+Na]1+" 733.4779 0 0 0 0 +"PG_33:2_[M+H]1+" 733.5014 0 0 0 0 +"PG-O_34:2_[M+H]1+" 733.5378 0 0 0 0 +"SM_36:0_[M+H]1+" 733.6218 0 0 0 0 +"2H-IS_SM_[M+H]1+" 733.7618 0 0 0 0 +"2H-IS_PS_[M+H]1+" 733.7808 0 0 0 0 +"PE_36:7_[M+H]1+ / PA_38:8_[M+NH4]1+" 734.4755 0 0 0 0 +"PS_32:1_[M+H]1+ / PG_32:3_[M+NH4]1+" 734.4967 0 0 0 0 +"PS-O_33:1_[M+H]1+ / PG-P_33:2_[M+NH4]1+" 734.533 0 0 0 0 +"PC_32:0_[M+H]1+ / PE_35:0_[M+H]1+ / PA_37:1_[M+NH4]1+" 734.5694 0 0 0 0 +"DG_44:10_[M+NH4]1+" 734.5718 0 0 0 0 +"PC-O_33:0_[M+H]1+ / PE-O_36:0_[M+H]1+" 734.6058 0 0 0 0 +"TG_42:3_[M+NH4]1+" 734.6293 0 0 0 0 +"PC-2O_34:0_[M+H]1+" 734.6422 0 0 0 0 +"DG_43:3_[M+NH4]1+" 734.6657 0 0 0 0 +"2H-IS_SM_[M+H]1+" 734.7676 0 0 0 0 +"2H-IS_PS_[M+H]1+" 734.7867 0 0 0 0 +"PI_25:0_[M+Na]1+" 735.4055 0 0 0 0 +"PG_32:5_[M+Na]1+" 735.4208 0 0 0 0 +"PA_37:3_[M+Na]1+" 735.4935 0 0 0 0 +"PG_33:1_[M+H]1+" 735.5171 0 0 0 0 +"PG-O_34:1_[M+H]1+" 735.5534 0 0 0 0 +"2H-IS_SM_[M+H]1+" 735.771 0 0 0 0 +"2H-IS_PS_[M+H]1+" 735.7914 0 0 0 0 +"PS_31:4_[M+Na]1+" 736.416 0 0 0 0 +"PE_36:6_[M+H]1+ / PA_38:7_[M+NH4]1+" 736.4912 0 0 0 0 +"PS_32:0_[M+H]1+ / PG_32:2_[M+NH4]1+" 736.5123 0 0 0 0 +"PS-O_33:0_[M+H]1+ / PG-O_33:2_[M+NH4]1+" 736.5487 0 0 0 0 +"PA_37:0_[M+NH4]1+" 736.5851 0 0 0 0 +"DG_44:9_[M+NH4]1+" 736.5875 0 0 0 0 +"TG_42:2_[M+NH4]1+" 736.645 0 0 0 0 +"DG_43:2_[M+NH4]1+" 736.6814 0 0 0 0 +"2H-IS_SM_[M+H]1+" 736.7744 0 0 0 0 +"2H-IS_PS_[M+H]1+" 736.7947 0 0 0 0 +"PA_38:9_[M+Na]1+" 737.4153 0 0 0 0 +"PG_32:4_[M+Na]1+" 737.4364 0 0 0 0 +"PA_37:2_[M+Na]1+" 737.5092 0 0 0 0 +"PG_33:0_[M+H]1+" 737.5327 0 0 0 0 +"PG-O_34:0_[M+H]1+ / TG_42:4_[M+Na]1+" 737.5691 0 0 0 0 +"PS_31:3_[M+Na]1+" 738.4317 0 0 0 0 +"PC_33:5_[M+H]1+ / PE_36:5_[M+H]1+ / PA_38:6_[M+NH4]1+" 738.5068 0 0 0 0 +"PG_32:1_[M+NH4]1+" 738.528 0 0 0 0 +"PC-P_34:4_[M+H]1+" 738.5432 0 0 0 0 +"PG-O_33:1_[M+NH4]1+" 738.5643 0 0 0 0 +"DG_44:8_[M+NH4]1+" 738.6031 0 0 0 0 +"TG_42:1_[M+NH4]1+" 738.6606 0 0 0 0 +"DG_43:1_[M+NH4]1+" 738.697 0 0 0 0 +"PA_38:8_[M+Na]1+" 739.4309 0 0 0 0 +"PI_27:1_[M+H]1+" 739.4392 0 0 0 0 +"PG_32:3_[M+Na]1+" 739.4521 0 0 0 0 +"PG_34:6_[M+H]1+" 739.4545 0 0 0 0 +"PI-P_28:0_[M+H]1+" 739.4756 0 0 0 0 +"PG-P_33:2_[M+Na]1+" 739.4884 0 0 0 0 +"PA_37:1_[M+Na]1+" 739.5248 0 0 0 0 +"TG_42:3_[M+Na]1+" 739.5847 0 0 0 0 +"PS_31:2_[M+Na]1+" 740.4473 0 0 0 0 +"PS_33:5_[M+H]1+" 740.4497 0 0 0 0 +"PS-P_32:1_[M+Na]1+" 740.4837 0 0 0 0 +"PS-P_34:4_[M+H]1+" 740.4861 0 0 0 0 +"PC_33:4_[M+H]1+ / PE_36:4_[M+H]1+ / PA_38:5_[M+NH4]1+" 740.5225 0 0 0 0 +"PG_32:0_[M+NH4]1+" 740.5436 0 0 0 0 +"PC-O_34:4_[M+H]1+" 740.5589 0 0 0 0 +"PG-O_33:0_[M+NH4]1+" 740.58 0 0 0 0 +"DG_44:7_[M+NH4]1+" 740.6188 0 0 0 0 +"TG_42:0_[M+NH4]1+" 740.6763 0 0 0 0 +"DG_43:0_[M+NH4]1+" 740.7127 0 0 0 0 +"PA_38:7_[M+Na]1+" 741.4466 0 0 0 0 +"PI_27:0_[M+H]1+" 741.4549 0 0 0 0 +"PG_32:2_[M+Na]1+" 741.4677 0 0 0 0 +"PG_34:5_[M+H]1+" 741.4701 0 0 0 0 +"PI-O_28:0_[M+H]1+" 741.4912 0 0 0 0 +"PG-O_33:2_[M+Na]1+" 741.5041 0 0 0 0 +"PA_37:0_[M+Na]1+" 741.5405 0 0 0 0 +"TG_42:2_[M+Na]1+" 741.6004 0 0 0 0 +"PI_26:1_[M+NH4]1+" 742.4501 0 0 0 0 +"PS_31:1_[M+Na]1+" 742.463 0 0 0 0 +"PS_33:4_[M+H]1+" 742.4654 0 0 0 0 +"PS-O_32:1_[M+Na]1+" 742.4993 0 0 0 0 +"PS-O_34:4_[M+H]1+" 742.5017 0 0 0 0 +"PC_33:3_[M+H]1+ / PE_36:3_[M+H]1+ / PA_38:4_[M+NH4]1+" 742.5381 0 0 0 0 +"PC-O_34:3_[M+H]1+ / PE-P_37:2_[M+H]1+" 742.5745 0 0 0 0 +"DG_44:6_[M+NH4]1+" 742.6344 0 0 0 0 +"PA_38:6_[M+Na]1+" 743.4622 0 0 0 0 +"PG_32:1_[M+Na]1+" 743.4834 0 0 0 0 +"PG_34:4_[M+H]1+" 743.4858 0 0 0 0 +"PG-O_33:1_[M+Na]1+" 743.5197 0 0 0 0 +"TG_42:1_[M+Na]1+" 743.616 0 0 0 0 +"PI_26:0_[M+NH4]1+" 744.4658 0 0 0 0 +"PS_31:0_[M+Na]1+" 744.4786 0 0 0 0 +"PS_33:3_[M+H]1+ / PG_33:5_[M+NH4]1+" 744.481 0 0 0 0 +"PS-O_32:0_[M+Na]1+" 744.515 0 0 0 0 +"PS-O_34:3_[M+H]1+ / PG-P_34:4_[M+NH4]1+" 744.5174 0 0 0 0 +"PC_33:2_[M+H]1+ / PE_36:2_[M+H]1+ / PA_38:3_[M+NH4]1+" 744.5538 0 0 0 0 +"PC-O_34:2_[M+H]1+ / PE-O_37:2_[M+H]1+" 744.5902 0 0 0 0 +"DG_44:5_[M+NH4]1+" 744.6501 0 0 0 0 +"PA_38:5_[M+Na]1+" 745.4779 0 0 0 0 +"PG_32:0_[M+Na]1+" 745.499 0 0 0 0 +"PG_34:3_[M+H]1+" 745.5014 0 0 0 0 +"PG-O_33:0_[M+Na]1+" 745.5354 0 0 0 0 +"PG-P_35:2_[M+H]1+" 745.5378 0 0 0 0 +"SM_37:1_[M+H]1+" 745.6218 0 0 0 0 +"TG_42:0_[M+Na]1+" 745.6317 0 0 0 0 +"2H-IS_PE_[M+H]1+" 745.7072 0 0 0 0 +"PS_33:2_[M+H]1+ / PG_33:4_[M+NH4]1+" 746.4967 0 0 0 0 +"PS-O_34:2_[M+H]1+ / PG-O_34:4_[M+NH4]1+" 746.533 0 0 0 0 +"PC_33:1_[M+H]1+ / PE_36:1_[M+H]1+ / PA_38:2_[M+NH4]1+" 746.5694 0 0 0 0 +"PC-O_34:1_[M+H]1+ / PE-O_37:1_[M+H]1+" 746.6058 0 0 0 0 +"TG_43:4_[M+NH4]1+" 746.6293 0 0 0 0 +"DG_44:4_[M+NH4]1+" 746.6657 0 0 0 0 +"2H-IS_PE_[M+H]1+" 746.7129 0 0 0 0 +"PI_26:1_[M+Na]1+" 747.4055 0 0 0 0 +"PA_38:4_[M+Na]1+" 747.4935 0 0 0 0 +"PG_34:2_[M+H]1+" 747.5171 0 0 0 0 +"PG-O_35:2_[M+H]1+" 747.5534 0 0 0 0 +"2H-IS_PE_[M+H]1+" 747.7188 0 0 0 0 +"PS_32:5_[M+Na]1+" 748.416 0 0 0 0 +"PE_37:7_[M+H]1+ / PA_39:8_[M+NH4]1+" 748.4912 0 0 0 0 +"PS_33:1_[M+H]1+ / PG_33:3_[M+NH4]1+" 748.5123 0 0 0 0 +"PE-P_38:6_[M+H]1+" 748.5276 0 0 0 0 +"PS-O_34:1_[M+H]1+ / PG-O_34:3_[M+NH4]1+" 748.5487 0 0 0 0 +"PC_33:0_[M+H]1+ / PE_36:0_[M+H]1+ / PA_38:1_[M+NH4]1+" 748.5851 0 0 0 0 +"PC-O_34:0_[M+H]1+ / PE-O_37:0_[M+H]1+" 748.6215 0 0 0 0 +"TG_43:3_[M+NH4]1+" 748.645 0 0 0 0 +"DG_44:3_[M+NH4]1+" 748.6814 0 0 0 0 +"2H-IS_PE_[M+H]1+" 748.7244 0 0 0 0 +"PI_26:0_[M+Na]1+" 749.4212 0 0 0 0 +"PG_33:5_[M+Na]1+" 749.4364 0 0 0 0 +"PG-P_34:4_[M+Na]1+" 749.4728 0 0 0 0 +"PA_38:3_[M+Na]1+" 749.5092 0 0 0 0 +"PG_34:1_[M+H]1+" 749.5327 0 0 0 0 +"PG-O_35:1_[M+H]1+" 749.5691 0 0 0 0 +"2H-IS_PE_[M+H]1+" 749.7297 0 0 0 0 +"PS_32:4_[M+Na]1+" 750.4317 0 0 0 0 +"PC_34:6_[M+H]1+ / PE_37:6_[M+H]1+ / PA_39:7_[M+NH4]1+" 750.5068 0 0 0 0 +"PS_33:0_[M+H]1+ / PG_33:2_[M+NH4]1+" 750.528 0 0 0 0 +"PE-O_38:6_[M+H]1+" 750.5432 0 0 0 0 +"PS-O_34:0_[M+H]1+ / PG-O_34:2_[M+NH4]1+" 750.5643 0 0 0 0 +"PA_38:0_[M+NH4]1+" 750.6007 0 0 0 0 +"TG_43:2_[M+NH4]1+" 750.6606 0 0 0 0 +"DG_44:2_[M+NH4]1+" 750.697 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 750.7329 0 0 0 0 +"2H-IS_PE_[M+H]1+" 750.734 0 0 0 0 +"PI_28:2_[M+H]1+" 751.4392 0 0 0 0 +"PG_33:4_[M+Na]1+" 751.4521 0 0 0 0 +"PG-O_34:4_[M+Na]1+" 751.4884 0 0 0 0 +"PA_38:2_[M+Na]1+" 751.5248 0 0 0 0 +"PG_34:0_[M+H]1+" 751.5484 0 0 0 0 +"PG-O_35:0_[M+H]1+ / TG_43:4_[M+Na]1+" 751.5847 0 0 0 0 +"2H-IS_PE_[M+H]1+" 751.7379 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 751.7389 0 0 0 0 +"PS_32:3_[M+Na]1+" 752.4473 0 0 0 0 +"PS_34:6_[M+H]1+" 752.4497 0 0 0 0 +"PS-P_33:2_[M+Na]1+" 752.4837 0 0 0 0 +"PC_34:5_[M+H]1+ / PE_37:5_[M+H]1+ / PA_39:6_[M+NH4]1+" 752.5225 0 0 0 0 +"PG_33:1_[M+NH4]1+" 752.5436 0 0 0 0 +"PE-O_38:5_[M+H]1+" 752.5589 0 0 0 0 +"PG-O_34:1_[M+NH4]1+" 752.58 0 0 0 0 +"TG_43:1_[M+NH4]1+" 752.6763 0 0 0 0 +"DG_44:1_[M+NH4]1+" 752.7127 0 0 0 0 +"CE_24:1_[M+NH4]1+" 752.7279 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 752.7451 0 0 0 0 +"PA_39:8_[M+Na]1+" 753.4466 0 0 0 0 +"PI_28:1_[M+H]1+" 753.4549 0 0 0 0 +"PG_33:3_[M+Na]1+" 753.4677 0 0 0 0 +"PG_35:6_[M+H]1+" 753.4701 0 0 0 0 +"PI-P_29:0_[M+H]1+" 753.4912 0 0 0 0 +"PG-O_34:3_[M+Na]1+" 753.5041 0 0 0 0 +"PG-P_36:5_[M+H]1+" 753.5065 0 0 0 0 +"PA_38:1_[M+Na]1+" 753.5405 0 0 0 0 +"TG_43:3_[M+Na]1+" 753.6004 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 753.7512 0 0 0 0 +"PS_32:2_[M+Na]1+" 754.463 0 0 0 0 +"PS_34:5_[M+H]1+" 754.4654 0 0 0 0 +"PS-O_33:2_[M+Na]1+" 754.4993 0 0 0 0 +"PC_34:4_[M+H]1+ / PE_37:4_[M+H]1+ / PA_39:5_[M+NH4]1+" 754.5381 0 0 0 0 +"PG_33:0_[M+NH4]1+" 754.5593 0 0 0 0 +"PC-O_35:4_[M+H]1+ / PE-O_38:4_[M+H]1+" 754.5745 0 0 0 0 +"PG-O_34:0_[M+NH4]1+" 754.5956 0 0 0 0 +"TG_43:0_[M+NH4]1+" 754.6919 0 0 0 0 +"DG_44:0_[M+NH4]1+" 754.7283 0 0 0 0 +"CE_24:0_[M+NH4]1+" 754.7436 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 754.7573 0 0 0 0 +"PA_39:7_[M+Na]1+" 755.4622 0 0 0 0 +"PI_28:0_[M+H]1+" 755.4705 0 0 0 0 +"PG_33:2_[M+Na]1+" 755.4834 0 0 0 0 +"PG_35:5_[M+H]1+" 755.4858 0 0 0 0 +"PI-O_29:0_[M+H]1+" 755.5069 0 0 0 0 +"PG-O_34:2_[M+Na]1+" 755.5197 0 0 0 0 +"PG-O_36:5_[M+H]1+" 755.5221 0 0 0 0 +"PA_38:0_[M+Na]1+" 755.5561 0 0 0 0 +"SM_38:3_[M+H]1+" 755.6062 0 0 0 0 +"TG_43:2_[M+Na]1+" 755.616 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 755.7635 0 0 0 0 +"PI_27:1_[M+NH4]1+" 756.4658 0 0 0 0 +"PS_32:1_[M+Na]1+" 756.4786 0 0 0 0 +"PS_34:4_[M+H]1+ / PG_34:6_[M+NH4]1+" 756.481 0 0 0 0 +"PI-P_28:0_[M+NH4]1+" 756.5021 0 0 0 0 +"PS-O_33:1_[M+Na]1+" 756.515 0 0 0 0 +"PC_34:3_[M+H]1+ / PE_37:3_[M+H]1+ / PA_39:4_[M+NH4]1+" 756.5538 0 0 0 0 +"PC-P_35:2_[M+H]1+ / PE-O_38:3_[M+H]1+" 756.5902 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 756.7694 0 0 0 0 +"PA_39:6_[M+Na]1+" 757.4779 0 0 0 0 +"PG_33:1_[M+Na]1+" 757.499 0 0 0 0 +"PG_35:4_[M+H]1+" 757.5014 0 0 0 0 +"PG-O_34:1_[M+Na]1+" 757.5354 0 0 0 0 +"PG-O_36:4_[M+H]1+" 757.5378 0 0 0 0 +"SM_38:2_[M+H]1+" 757.6218 0 0 0 0 +"TG_43:1_[M+Na]1+" 757.6317 0 0 0 0 +"CE_24:1_[M+Na]1+" 757.6833 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 757.7737 0 0 0 0 +"PE_38:9_[M+H]1+ / PA_40:10_[M+NH4]1+" 758.4755 0 0 0 0 +"PI_27:0_[M+NH4]1+" 758.4814 0 0 0 0 +"PS_32:0_[M+Na]1+" 758.4943 0 0 0 0 +"PS_34:3_[M+H]1+ / PG_34:5_[M+NH4]1+" 758.4967 0 0 0 0 +"PI-O_28:0_[M+NH4]1+" 758.5178 0 0 0 0 +"PS-O_33:0_[M+Na]1+" 758.5306 0 0 0 0 +"PS-P_35:2_[M+H]1+" 758.533 0 0 0 0 +"PC_34:2_[M+H]1+ / PE_37:2_[M+H]1+ / PA_39:3_[M+NH4]1+" 758.5694 0 0 0 0 +"PC-O_35:2_[M+H]1+ / PE-O_38:2_[M+H]1+" 758.6058 0 0 0 0 +"TG_44:5_[M+NH4]1+" 758.6293 0 0 0 0 +"PC-2O_36:1_[M+H]1+" 758.6422 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 758.7761 0 0 0 0 +"PA_39:5_[M+Na]1+" 759.4935 0 0 0 0 +"PG_33:0_[M+Na]1+" 759.5147 0 0 0 0 +"PG_35:3_[M+H]1+" 759.5171 0 0 0 0 +"PG-O_34:0_[M+Na]1+" 759.551 0 0 0 0 +"PG-O_36:3_[M+H]1+" 759.5534 0 0 0 0 +"SM_38:1_[M+H]1+" 759.6375 0 0 0 0 +"TG_43:0_[M+Na]1+" 759.6473 0 0 0 0 +"CE_24:0_[M+Na]1+" 759.699 0 0 0 0 +"PE_38:8_[M+H]1+ / PA_40:9_[M+NH4]1+" 760.4912 0 0 0 0 +"PS_34:2_[M+H]1+ / PG_34:4_[M+NH4]1+" 760.5123 0 0 0 0 +"PS-O_35:2_[M+H]1+" 760.5487 0 0 0 0 +"PC_34:1_[M+H]1+ / PE_37:1_[M+H]1+ / PA_39:2_[M+NH4]1+" 760.5851 0 0 0 0 +"PC-O_35:1_[M+H]1+ / PE-O_38:1_[M+H]1+" 760.6215 0 0 0 0 +"TG_44:4_[M+NH4]1+" 760.645 0 0 0 0 +"PI_27:1_[M+Na]1+" 761.4212 0 0 0 0 +"PG_34:6_[M+Na]1+" 761.4364 0 0 0 0 +"PI-P_28:0_[M+Na]1+" 761.4575 0 0 0 0 +"PA_39:4_[M+Na]1+" 761.5092 0 0 0 0 +"PG_35:2_[M+H]1+" 761.5327 0 0 0 0 +"PG-O_36:2_[M+H]1+" 761.5691 0 0 0 0 +"SM_38:0_[M+H]1+" 761.6531 0 0 0 0 +"PS_33:5_[M+Na]1+" 762.4317 0 0 0 0 +"PS-P_34:4_[M+Na]1+" 762.468 0 0 0 0 +"PE_38:7_[M+H]1+ / PA_40:8_[M+NH4]1+" 762.5068 0 0 0 0 +"PS_34:1_[M+H]1+ / PG_34:3_[M+NH4]1+" 762.528 0 0 0 0 +"PS-O_35:1_[M+H]1+ / PG-P_35:2_[M+NH4]1+" 762.5643 0 0 0 0 +"PC_34:0_[M+H]1+ / PE_37:0_[M+H]1+ / PA_39:1_[M+NH4]1+" 762.6007 0 0 0 0 +"PC-O_35:0_[M+H]1+ / PE-O_38:0_[M+H]1+" 762.6371 0 0 0 0 +"TG_44:3_[M+NH4]1+" 762.6606 0 0 0 0 +"PA_40:10_[M+Na]1+" 763.4309 0 0 0 0 +"PI_27:0_[M+Na]1+" 763.4368 0 0 0 0 +"PG_34:5_[M+Na]1+" 763.4521 0 0 0 0 +"PG_36:8_[M+H]1+" 763.4545 0 0 0 0 +"PI-O_28:0_[M+Na]1+" 763.4732 0 0 0 0 +"PA_39:3_[M+Na]1+" 763.5248 0 0 0 0 +"PG_35:1_[M+H]1+" 763.5484 0 0 0 0 +"PG-O_36:1_[M+H]1+ / TG_44:5_[M+Na]1+" 763.5847 0 0 0 0 +"PS_33:4_[M+Na]1+" 764.4473 0 0 0 0 +"PS-O_34:4_[M+Na]1+" 764.4837 0 0 0 0 +"PC_35:6_[M+H]1+ / PE_38:6_[M+H]1+ / PA_40:7_[M+NH4]1+" 764.5225 0 0 0 0 +"PS_34:0_[M+H]1+ / PG_34:2_[M+NH4]1+" 764.5436 0 0 0 0 +"PC-P_36:5_[M+H]1+" 764.5589 0 0 0 0 +"PS-O_35:0_[M+H]1+ / PG-O_35:2_[M+NH4]1+" 764.58 0 0 0 0 +"PA_39:0_[M+NH4]1+" 764.6164 0 0 0 0 +"TG_44:2_[M+NH4]1+" 764.6763 0 0 0 0 +"PA_40:9_[M+Na]1+" 765.4466 0 0 0 0 +"PI_29:2_[M+H]1+" 765.4549 0 0 0 0 +"PG_34:4_[M+Na]1+" 765.4677 0 0 0 0 +"PG_36:7_[M+H]1+" 765.4701 0 0 0 0 +"PI-P_30:1_[M+H]1+" 765.4912 0 0 0 0 +"PA_39:2_[M+Na]1+" 765.5405 0 0 0 0 +"PG_35:0_[M+H]1+" 765.564 0 0 0 0 +"PG-O_36:0_[M+H]1+ / TG_44:4_[M+Na]1+" 765.6004 0 0 0 0 +"PS_33:3_[M+Na]1+" 766.463 0 0 0 0 +"PS_35:6_[M+H]1+" 766.4654 0 0 0 0 +"PS-O_34:3_[M+Na]1+" 766.4993 0 0 0 0 +"PS-P_36:5_[M+H]1+" 766.5017 0 0 0 0 +"PC_35:5_[M+H]1+ / PE_38:5_[M+H]1+ / PA_40:6_[M+NH4]1+" 766.5381 0 0 0 0 +"PG_34:1_[M+NH4]1+" 766.5593 0 0 0 0 +"PC-O_36:5_[M+H]1+" 766.5745 0 0 0 0 +"PG-O_35:1_[M+NH4]1+" 766.5956 0 0 0 0 +"TG_44:1_[M+NH4]1+" 766.6919 0 0 0 0 +"PA_40:8_[M+Na]1+" 767.4622 0 0 0 0 +"PI_29:1_[M+H]1+" 767.4705 0 0 0 0 +"PG_34:3_[M+Na]1+" 767.4834 0 0 0 0 +"PG_36:6_[M+H]1+" 767.4858 0 0 0 0 +"PI-O_30:1_[M+H]1+" 767.5069 0 0 0 0 +"PG-P_35:2_[M+Na]1+" 767.5197 0 0 0 0 +"PA_39:1_[M+Na]1+" 767.5561 0 0 0 0 +"TG_44:3_[M+Na]1+" 767.616 0 0 0 0 +"PI_28:2_[M+NH4]1+" 768.4658 0 0 0 0 +"PS_33:2_[M+Na]1+" 768.4786 0 0 0 0 +"PS_35:5_[M+H]1+" 768.481 0 0 0 0 +"PS-O_34:2_[M+Na]1+" 768.515 0 0 0 0 +"PS-O_36:5_[M+H]1+" 768.5174 0 0 0 0 +"PC_35:4_[M+H]1+ / PE_38:4_[M+H]1+ / PA_40:5_[M+NH4]1+" 768.5538 0 0 0 0 +"PG_34:0_[M+NH4]1+" 768.5749 0 0 0 0 +"PC-O_36:4_[M+H]1+" 768.5902 0 0 0 0 +"PG-O_35:0_[M+NH4]1+" 768.6113 0 0 0 0 +"TG_44:0_[M+NH4]1+" 768.7076 0 0 0 0 +"PA_40:7_[M+Na]1+" 769.4779 0 0 0 0 +"PI_29:0_[M+H]1+" 769.4862 0 0 0 0 +"PG_34:2_[M+Na]1+" 769.499 0 0 0 0 +"PG_36:5_[M+H]1+" 769.5014 0 0 0 0 +"PI-O_30:0_[M+H]1+" 769.5225 0 0 0 0 +"PG-O_35:2_[M+Na]1+" 769.5354 0 0 0 0 +"PA_39:0_[M+Na]1+" 769.5718 0 0 0 0 +"TG_44:2_[M+Na]1+" 769.6317 0 0 0 0 +"PI_28:1_[M+NH4]1+" 770.4814 0 0 0 0 +"PS_33:1_[M+Na]1+" 770.4943 0 0 0 0 +"PS_35:4_[M+H]1+ / PG_35:6_[M+NH4]1+" 770.4967 0 0 0 0 +"PI-P_29:0_[M+NH4]1+" 770.5178 0 0 0 0 +"PS-O_34:1_[M+Na]1+" 770.5306 0 0 0 0 +"PS-O_36:4_[M+H]1+ / PG-P_36:5_[M+NH4]1+" 770.533 0 0 0 0 +"PC_35:3_[M+H]1+ / PE_38:3_[M+H]1+ / PA_40:4_[M+NH4]1+" 770.5694 0 0 0 0 +"PC-O_36:3_[M+H]1+" 770.6058 0 0 0 0 +"PA_40:6_[M+Na]1+" 771.4935 0 0 0 0 +"PG_34:1_[M+Na]1+" 771.5147 0 0 0 0 +"PG_36:4_[M+H]1+" 771.5171 0 0 0 0 +"PG-O_35:1_[M+Na]1+" 771.551 0 0 0 0 +"SM_39:2_[M+H]1+" 771.6375 0 0 0 0 +"TG_44:1_[M+Na]1+" 771.6473 0 0 0 0 +"PI_28:0_[M+NH4]1+" 772.4971 0 0 0 0 +"PS_33:0_[M+Na]1+" 772.5099 0 0 0 0 +"PS_35:3_[M+H]1+ / PG_35:5_[M+NH4]1+" 772.5123 0 0 0 0 +"PI-O_29:0_[M+NH4]1+" 772.5334 0 0 0 0 +"PS-O_34:0_[M+Na]1+" 772.5463 0 0 0 0 +"PS-O_36:3_[M+H]1+ / PG-O_36:5_[M+NH4]1+" 772.5487 0 0 0 0 +"PC_35:2_[M+H]1+ / PE_38:2_[M+H]1+ / PA_40:3_[M+NH4]1+" 772.5851 0 0 0 0 +"PC-O_36:2_[M+H]1+ / PE-P_39:1_[M+H]1+" 772.6215 0 0 0 0 +"TG_45:5_[M+NH4]1+" 772.645 0 0 0 0 +"PI_28:2_[M+Na]1+" 773.4212 0 0 0 0 +"PA_40:5_[M+Na]1+" 773.5092 0 0 0 0 +"PG_34:0_[M+Na]1+" 773.5303 0 0 0 0 +"PG_36:3_[M+H]1+" 773.5327 0 0 0 0 +"PG-O_35:0_[M+Na]1+" 773.5667 0 0 0 0 +"PG-P_37:2_[M+H]1+" 773.5691 0 0 0 0 +"SM_39:1_[M+H]1+" 773.6531 0 0 0 0 +"TG_44:0_[M+Na]1+" 773.663 0 0 0 0 +"PS_34:6_[M+Na]1+" 774.4317 0 0 0 0 +"PC_36:8_[M+H]1+ / PE_39:8_[M+H]1+" 774.5068 0 0 0 0 +"PS_35:2_[M+H]1+ / PG_35:4_[M+NH4]1+" 774.528 0 0 0 0 +"PE-P_40:7_[M+H]1+" 774.5432 0 0 0 0 +"PS-O_36:2_[M+H]1+ / PG-O_36:4_[M+NH4]1+" 774.5643 0 0 0 0 +"PC_35:1_[M+H]1+ / PE_38:1_[M+H]1+ / PA_40:2_[M+NH4]1+" 774.6007 0 0 0 0 +"PC-O_36:1_[M+H]1+ / PE-O_39:1_[M+H]1+" 774.6371 0 0 0 0 +"TG_45:4_[M+NH4]1+" 774.6606 0 0 0 0 +"PI_28:1_[M+Na]1+" 775.4368 0 0 0 0 +"PI_30:4_[M+H]1+" 775.4392 0 0 0 0 +"PG_35:6_[M+Na]1+" 775.4521 0 0 0 0 +"PI-P_29:0_[M+Na]1+" 775.4732 0 0 0 0 +"PG-P_36:5_[M+Na]1+" 775.4884 0 0 0 0 +"PA_40:4_[M+Na]1+" 775.5248 0 0 0 0 +"PG_36:2_[M+H]1+" 775.5484 0 0 0 0 +"PG-O_37:2_[M+H]1+" 775.5847 0 0 0 0 +"PS_34:5_[M+Na]1+" 776.4473 0 0 0 0 +"PS_36:8_[M+H]1+" 776.4497 0 0 0 0 +"PC_36:7_[M+H]1+ / PE_39:7_[M+H]1+" 776.5225 0 0 0 0 +"PS_35:1_[M+H]1+ / PG_35:3_[M+NH4]1+" 776.5436 0 0 0 0 +"PE-P_40:6_[M+H]1+" 776.5589 0 0 0 0 +"PS-O_36:1_[M+H]1+ / PG-O_36:3_[M+NH4]1+" 776.58 0 0 0 0 +"PC_35:0_[M+H]1+ / PE_38:0_[M+H]1+ / PA_40:1_[M+NH4]1+" 776.6164 0 0 0 0 +"PC-O_36:0_[M+H]1+ / PE-O_39:0_[M+H]1+" 776.6528 0 0 0 0 +"TG_45:3_[M+NH4]1+" 776.6763 0 0 0 0 +"PI_28:0_[M+Na]1+" 777.4525 0 0 0 0 +"PI_30:3_[M+H]1+" 777.4549 0 0 0 0 +"PG_35:5_[M+Na]1+" 777.4677 0 0 0 0 +"PI-O_29:0_[M+Na]1+" 777.4888 0 0 0 0 +"PG-O_36:5_[M+Na]1+" 777.5041 0 0 0 0 +"PA_40:3_[M+Na]1+" 777.5405 0 0 0 0 +"PG_36:1_[M+H]1+" 777.564 0 0 0 0 +"PG-O_37:1_[M+H]1+ / TG_45:5_[M+Na]1+" 777.6004 0 0 0 0 +"2H-IS_PG_[M+H]1+" 777.7073 0 0 0 0 +"PS_34:4_[M+Na]1+" 778.463 0 0 0 0 +"PS_36:7_[M+H]1+" 778.4654 0 0 0 0 +"PC_36:6_[M+H]1+ / PE_39:6_[M+H]1+ / PA_41:7_[M+NH4]1+" 778.5381 0 0 0 0 +"PS_35:0_[M+H]1+ / PG_35:2_[M+NH4]1+" 778.5593 0 0 0 0 +"PE-O_40:6_[M+H]1+" 778.5745 0 0 0 0 +"PS-O_36:0_[M+H]1+ / PG-O_36:2_[M+NH4]1+" 778.5956 0 0 0 0 +"PA_40:0_[M+NH4]1+" 778.632 0 0 0 0 +"TG_45:2_[M+NH4]1+" 778.6919 0 0 0 0 +"2H-IS_PG_[M+H]1+" 778.7135 0 0 0 0 +"PI_30:2_[M+H]1+" 779.4705 0 0 0 0 +"PG_35:4_[M+Na]1+" 779.4834 0 0 0 0 +"PG_37:7_[M+H]1+" 779.4858 0 0 0 0 +"PI-P_31:1_[M+H]1+" 779.5069 0 0 0 0 +"PG-O_36:4_[M+Na]1+" 779.5197 0 0 0 0 +"PG-P_38:6_[M+H]1+" 779.5221 0 0 0 0 +"PA_40:2_[M+Na]1+" 779.5561 0 0 0 0 +"PG_36:0_[M+H]1+" 779.5797 0 0 0 0 +"PG-O_37:0_[M+H]1+ / TG_45:4_[M+Na]1+" 779.616 0 0 0 0 +"2H-IS_PG_[M+H]1+" 779.7194 0 0 0 0 +"PS_34:3_[M+Na]1+" 780.4786 0 0 0 0 +"PS_36:6_[M+H]1+ / PG_36:8_[M+NH4]1+" 780.481 0 0 0 0 +"PS-P_35:2_[M+Na]1+" 780.515 0 0 0 0 +"PC_36:5_[M+H]1+ / PE_39:5_[M+H]1+ / PA_41:6_[M+NH4]1+" 780.5538 0 0 0 0 +"PG_35:1_[M+NH4]1+" 780.5749 0 0 0 0 +"PE-O_40:5_[M+H]1+" 780.5902 0 0 0 0 +"PG-O_36:1_[M+NH4]1+" 780.6113 0 0 0 0 +"TG_45:1_[M+NH4]1+" 780.7076 0 0 0 0 +"2H-IS_PG_[M+H]1+" 780.7253 0 0 0 0 +"PI_30:1_[M+H]1+" 781.4862 0 0 0 0 +"PG_35:3_[M+Na]1+" 781.499 0 0 0 0 +"PG_37:6_[M+H]1+" 781.5014 0 0 0 0 +"PI-O_31:1_[M+H]1+" 781.5225 0 0 0 0 +"PG-O_36:3_[M+Na]1+" 781.5354 0 0 0 0 +"PG-O_38:6_[M+H]1+" 781.5378 0 0 0 0 +"PA_40:1_[M+Na]1+" 781.5718 0 0 0 0 +"TG_45:3_[M+Na]1+" 781.6317 0 0 0 0 +"2H-IS_PG_[M+H]1+" 781.7294 0 0 0 0 +"PI_29:2_[M+NH4]1+" 782.4814 0 0 0 0 +"PS_34:2_[M+Na]1+" 782.4943 0 0 0 0 +"PS_36:5_[M+H]1+ / PG_36:7_[M+NH4]1+" 782.4967 0 0 0 0 +"PI-P_30:1_[M+NH4]1+" 782.5178 0 0 0 0 +"PS-O_35:2_[M+Na]1+" 782.5306 0 0 0 0 +"PC_36:4_[M+H]1+ / PE_39:4_[M+H]1+ / PA_41:5_[M+NH4]1+" 782.5694 0 0 0 0 +"PG_35:0_[M+NH4]1+" 782.5906 0 0 0 0 +"PC-O_37:4_[M+H]1+ / PE-O_40:4_[M+H]1+" 782.6058 0 0 0 0 +"PG-O_36:0_[M+NH4]1+" 782.6269 0 0 0 0 +"TG_45:0_[M+NH4]1+" 782.7232 0 0 0 0 +"2H-IS_PG_[M+H]1+" 782.733 0 0 0 0 +"PA_41:7_[M+Na]1+" 783.4935 0 0 0 0 +"PI_30:0_[M+H]1+" 783.5018 0 0 0 0 +"PG_35:2_[M+Na]1+" 783.5147 0 0 0 0 +"PG_37:5_[M+H]1+" 783.5171 0 0 0 0 +"PI-O_31:0_[M+H]1+" 783.5382 0 0 0 0 +"PG-O_36:2_[M+Na]1+" 783.551 0 0 0 0 +"PG-O_38:5_[M+H]1+" 783.5534 0 0 0 0 +"PA_40:0_[M+Na]1+" 783.5874 0 0 0 0 +"SM_40:3_[M+H]1+" 783.6375 0 0 0 0 +"TG_45:2_[M+Na]1+" 783.6473 0 0 0 0 +"PE_40:10_[M+H]1+ / PA_42:11_[M+NH4]1+" 784.4912 0 0 0 0 +"PI_29:1_[M+NH4]1+" 784.4971 0 0 0 0 +"PS_34:1_[M+Na]1+" 784.5099 0 0 0 0 +"PS_36:4_[M+H]1+ / PG_36:6_[M+NH4]1+" 784.5123 0 0 0 0 +"PI-O_30:1_[M+NH4]1+" 784.5334 0 0 0 0 +"PS-O_35:1_[M+Na]1+" 784.5463 0 0 0 0 +"PC_36:3_[M+H]1+ / PE_39:3_[M+H]1+ / PA_41:4_[M+NH4]1+" 784.5851 0 0 0 0 +"PC-P_37:2_[M+H]1+ / PE-O_40:3_[M+H]1+" 784.6215 0 0 0 0 +"TG_46:6_[M+NH4]1+" 784.645 0 0 0 0 +"PG_36:8_[M+Na]1+" 785.4364 0 0 0 0 +"PA_41:6_[M+Na]1+" 785.5092 0 0 0 0 +"PG_35:1_[M+Na]1+" 785.5303 0 0 0 0 +"PG_37:4_[M+H]1+" 785.5327 0 0 0 0 +"PG-O_36:1_[M+Na]1+" 785.5667 0 0 0 0 +"PG-O_38:4_[M+H]1+" 785.5691 0 0 0 0 +"SM_40:2_[M+H]1+" 785.6531 0 0 0 0 +"TG_45:1_[M+Na]1+" 785.663 0 0 0 0 +"PE_40:9_[M+H]1+ / PA_42:10_[M+NH4]1+" 786.5068 0 0 0 0 +"PI_29:0_[M+NH4]1+" 786.5127 0 0 0 0 +"PS_34:0_[M+Na]1+" 786.5256 0 0 0 0 +"PS_36:3_[M+H]1+ / PG_36:5_[M+NH4]1+" 786.528 0 0 0 0 +"PI-O_30:0_[M+NH4]1+" 786.5491 0 0 0 0 +"PS-O_35:0_[M+Na]1+" 786.5619 0 0 0 0 +"PS-P_37:2_[M+H]1+" 786.5643 0 0 0 0 +"PC_36:2_[M+H]1+ / PE_39:2_[M+H]1+ / PA_41:3_[M+NH4]1+" 786.6007 0 0 0 0 +"PC-O_37:2_[M+H]1+ / PE-O_40:2_[M+H]1+" 786.6371 0 0 0 0 +"TG_46:5_[M+NH4]1+" 786.6606 0 0 0 0 +"PI_29:2_[M+Na]1+" 787.4368 0 0 0 0 +"PG_36:7_[M+Na]1+" 787.4521 0 0 0 0 +"PI-P_30:1_[M+Na]1+" 787.4732 0 0 0 0 +"PA_41:5_[M+Na]1+" 787.5248 0 0 0 0 +"PG_35:0_[M+Na]1+" 787.546 0 0 0 0 +"PG_37:3_[M+H]1+" 787.5484 0 0 0 0 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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/res/mzml_pos_sign.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,3478 @@ +"name" "mz" "01_sample" "02_sample" "03_sample" "04_sample" +"TG_6:0_[M+NH4]1+" 236.1129 0 0 0 0 +"TG_6:0_[M+Na]1+" 241.0683 0 0 0 0 +"LPC_2:0_[M+H]1+" 300.1207 0 0 0 0 +"LPC-2O_3:0_[M+H]1+" 300.1571 0 0 0 0 +"LPC_3:1_[M+H]1+" 312.1207 0 0 0 0 +"PC-O_3:0_[M+H]1+" 314.1363 0 0 0 0 +"LPC-2O_4:0_[M+H]1+" 314.1727 0 0 0 0 +"Cer_20:1_[M+H-H2O]1+" 324.2897 0 0 0 0 +"PC-O_4:0_[M+H]1+" 328.152 0 0 0 0 +"LPC_O-5:0_[M+H]1+" 328.1884 0 0 0 0 +"PC_4:0_[M+H]1+" 342.1312 0 0 0 0 +"LPC_5:0_[M+H]1+" 342.1676 0 0 0 0 +"Cer_20:1_[M+H]1+" 342.3003 0 0 0 0 +"MG_16:0_[M+NH4]1+" 348.3108 0 0 0 0 +"Cholesterol_[M+H-2H2O]1+" 351.341 0 0 0 0 +"LPC_6:0_[M+H]1+" 356.1833 0 0 0 0 +"MG_17:0_[M+NH4]1+" 362.3265 0 0 0 0 +"Oxocholesterol_[M+H-2H2O]1+" 365.3203 0 0 0 0 +"Hydroxycholesterol_[M+H-2H2O]1+" 367.3359 0 0 0 0 +"Cholesterol_[M+H-H2O]1+" 369.3516 0 0 0 0 +"PC_6:0_[M+H]1+" 370.1625 0 0 0 0 +"LPC_7:0_[M+H]1+" 370.1989 0 0 0 0 +"MG_18:2_[M+NH4]1+" 372.3108 0 0 0 0 +"MG_18:1_[M+NH4]1+" 374.3265 0 0 0 0 +"2H-IS_CE_[M+H-H2O]1+" 374.3827 0 0 0 0 +"2H-IS_CE_[M+H-H2O]1+" 375.3886 0 0 0 0 +"MG_18:0_[M+NH4]1+" 376.3421 0 0 0 0 +"2H-IS_CE_[M+H-H2O]1+" 376.3918 0 0 0 0 +"2H-IS_CE_[M+H-H2O]1+" 377.395 0 0 0 0 +"Oxocholesterol_[M+H-H2O]1+" 383.3308 0 0 0 0 +"LPC_8:0_[M+H]1+" 384.2146 0 0 0 0 +"Hydroxycholesterol_[M+H-H2O]1+" 385.3465 0 0 0 0 +"PA_12:0_[M+NH4]1+" 386.1938 0 0 0 0 +"PA_12:0_[M+Na]1+" 391.1492 0 0 0 0 +"MG_20:5_[M+NH4]1+" 394.2952 0 0 0 0 +"LPC_O-10:1_[M+H]1+" 396.251 0 0 0 0 +"MG_20:4_[M+NH4]1+" 396.3108 0 0 0 0 +"PC_8:0_[M+H]1+" 398.1938 0 0 0 0 +"LPC_9:0_[M+H]1+ / LPE_12:0_[M+H]1+" 398.2302 0 0 0 0 +"MG_20:0_[M+NH4]1+" 404.3734 0 0 0 0 +"PE_12:0_[M+H]1+" 412.2095 0 0 0 0 +"PC-O_10:0_[M+H]1+ / LPE_13:0_[M+H]1+" 412.2459 0 0 0 0 +"MG_22:6_[M+NH4]1+" 420.3108 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 420.5436 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 421.5496 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 422.5554 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 423.5588 0 0 0 0 +"LPE_14:1_[M+H]1+" 424.2459 0 0 0 0 +"2H-IS_LPC_[M+H]1+" 424.5622 0 0 0 0 +"PC_10:0_[M+H]1+" 426.2251 0 0 0 0 +"LPC_11:0_[M+H]1+ / LPE_14:0_[M+H]1+" 426.2615 0 0 0 0 +"LPC-2O_12:0_[M+H]1+" 426.2979 0 0 0 0 +"LPG_12:0_[M+H]1+" 429.2248 0 0 0 0 +"PC-O_12:1_[M+H]1+ / LPE_15:1_[M+H]1+" 438.2615 0 0 0 0 +"LPE-P_16:0_[M+H]1+" 438.2979 0 0 0 0 +"DG_24:0_[M+H-H2O]1+" 439.3782 0 0 0 0 +"LPC_12:0_[M+H]1+ / LPE_15:0_[M+H]1+" 440.2772 0 0 0 0 +"LPC-2O_13:0_[M+H]1+ / LPE-O_16:0_[M+H]1+" 440.3136 0 0 0 0 +"LPS_12:0_[M+H]1+" 442.22 0 0 0 0 +"PA_16:0_[M+NH4]1+" 442.2564 0 0 0 0 +"PG_12:0_[M+H]1+" 443.2041 0 0 0 0 +"LPG_13:0_[M+H]1+" 443.2404 0 0 0 0 +"PC_12:2_[M+H]1+" 446.1938 0 0 0 0 +"LPG_12:0_[M+NH4]1+" 446.2513 0 0 0 0 +"PA_16:0_[M+Na]1+" 447.2118 0 0 0 0 +"LPG_12:0_[M+Na]1+" 451.2067 0 0 0 0 +"PC-O_13:1_[M+H]1+ / LPE_16:1_[M+H]1+" 452.2772 0 0 0 0 +"LPC-O_14:1_[M+H]1+" 452.3136 0 0 0 0 +"PC_12:0_[M+H]1+" 454.2564 0 0 0 0 +"LPC_13:0_[M+H]1+ / LPE_16:0_[M+H]1+" 454.2928 0 0 0 0 +"LPC-2O_14:0_[M+H]1+" 454.3292 0 0 0 0 +"LPG_14:1_[M+H]1+" 455.2404 0 0 0 0 +"PS_12:0_[M+H]1+" 456.1993 0 0 0 0 +"LPS_13:0_[M+H]1+" 456.2357 0 0 0 0 +"LPG_14:0_[M+H]1+" 457.2561 0 0 0 0 +"PG_12:0_[M+NH4]1+" 460.2306 0 0 0 0 +"LPG_13:0_[M+NH4]1+" 460.267 0 0 0 0 +"Cer_30:2_[M+H-H2O]1+" 462.4306 0 0 0 0 +"LPS_12:0_[M+Na]1+" 464.202 0 0 0 0 +"LPE_17:2_[M+H]1+" 464.2772 0 0 0 0 +"Cer_30:1_[M+H-H2O]1+" 464.4462 0 0 0 0 +"PG_12:0_[M+Na]1+" 465.186 0 0 0 0 +"LPG_13:0_[M+Na]1+" 465.2224 0 0 0 0 +"LPC_14:1_[M+H]1+ / LPE_17:1_[M+H]1+" 466.2928 0 0 0 0 +"LPC-P_15:0_[M+H]1+ / LPE-O_18:1_[M+H]1+" 466.3292 0 0 0 0 +"DG_26:0_[M+H-H2O]1+" 467.4095 0 0 0 0 +"LPS_14:1_[M+H]1+" 468.2357 0 0 0 0 +"PE_16:0_[M+H]1+" 468.2721 0 0 0 0 +"PC-O_14:0_[M+H]1+ / LPE_17:0_[M+H]1+" 468.3085 0 0 0 0 +"LPC-2O_15:0_[M+H]1+ / LPE-O_18:0_[M+H]1+" 468.3449 0 0 0 0 +"LPG_15:1_[M+H]1+" 469.2561 0 0 0 0 +"LPG-P_16:0_[M+H]1+" 469.2925 0 0 0 0 +"LPS_14:0_[M+H]1+" 470.2513 0 0 0 0 +"LPG_15:0_[M+H]1+" 471.2717 0 0 0 0 +"LPG-O_16:0_[M+H]1+" 471.3081 0 0 0 0 +"LPG_14:1_[M+NH4]1+" 472.267 0 0 0 0 +"LPE_18:4_[M+H]1+" 474.2615 0 0 0 0 +"LPG_14:0_[M+NH4]1+" 474.2826 0 0 0 0 +"DG_24:0_[M+NH4]1+" 474.4153 0 0 0 0 +"LPE_18:3_[M+H]1+" 476.2772 0 0 0 0 +"LPG_14:1_[M+Na]1+" 477.2224 0 0 0 0 +"PS_12:0_[M+Na]1+" 478.1813 0 0 0 0 +"LPS_13:0_[M+Na]1+" 478.2176 0 0 0 0 +"LPE_18:2_[M+H]1+" 478.2928 0 0 0 0 +"LPE-P_19:1_[M+H]1+" 478.3292 0 0 0 0 +"LPG_14:0_[M+Na]1+" 479.238 0 0 0 0 +"LPC_15:1_[M+H]1+ / LPE_18:1_[M+H]1+" 480.3085 0 0 0 0 +"LPC-O_16:1_[M+H]1+" 480.3449 0 0 0 0 +"Cer_30:2_[M+H]1+" 480.4411 0 0 0 0 +"LPS_15:1_[M+H]1+" 482.2513 0 0 0 0 +"PC_14:0_[M+H]1+ / LPS-P_16:0_[M+H]1+" 482.2877 0 0 0 0 +"LPC_15:0_[M+H]1+ / LPE_18:0_[M+H]1+" 482.3241 0 0 0 0 +"LPC-2O_16:0_[M+H]1+" 482.3605 0 0 0 0 +"Cer_30:1_[M+H]1+" 482.4568 0 0 0 0 +"LPG_16:1_[M+H]1+" 483.2717 0 0 0 0 +"LPS_15:0_[M+H]1+" 484.267 0 0 0 0 +"LPS-O_16:0_[M+H]1+" 484.3034 0 0 0 0 +"LPG_16:0_[M+H]1+" 485.2874 0 0 0 0 +"LPG_15:1_[M+NH4]1+" 486.2826 0 0 0 0 +"LPG-P_16:0_[M+NH4]1+" 486.319 0 0 0 0 +"LPG_15:0_[M+NH4]1+" 488.2983 0 0 0 0 +"LPG-O_16:0_[M+NH4]1+" 488.3347 0 0 0 0 +"Cer_32:3_[M+H-H2O]1+" 488.4462 0 0 0 0 +"LPS_14:1_[M+Na]1+" 490.2176 0 0 0 0 +"Cer_32:2_[M+H-H2O]1+" 490.4619 0 0 0 0 +"LPG_15:1_[M+Na]1+" 491.238 0 0 0 0 +"LPG-P_16:0_[M+Na]1+" 491.2744 0 0 0 0 +"DG_28:2_[M+H-H2O]1+" 491.4095 0 0 0 0 +"LPS_14:0_[M+Na]1+" 492.2333 0 0 0 0 +"Cer_32:1_[M+H-H2O]1+" 492.4775 0 0 0 0 +"LPG_15:0_[M+Na]1+" 493.2537 0 0 0 0 +"LPG-O_16:0_[M+Na]1+" 493.2901 0 0 0 0 +"DG_28:1_[M+H-H2O]1+" 493.4251 0 0 0 0 +"LPC_16:1_[M+H]1+ / LPE_19:1_[M+H]1+" 494.3241 0 0 0 0 +"LPC-P_17:0_[M+H]1+ / LPE-P_20:0_[M+H]1+" 494.3605 0 0 0 0 +"LPG_17:2_[M+H]1+" 495.2717 0 0 0 0 +"DG_28:0_[M+H-H2O]1+" 495.4408 0 0 0 0 +"LPS_16:1_[M+H]1+" 496.267 0 0 0 0 +"LPC_16:0_[M+H]1+ / LPE_19:0_[M+H]1+" 496.3398 0 0 0 0 +"LPC-2O_17:0_[M+H]1+ / LPE-O_20:0_[M+H]1+" 496.3762 0 0 0 0 +"LPG_17:1_[M+H]1+" 497.2874 0 0 0 0 +"LPG-P_18:0_[M+H]1+" 497.3238 0 0 0 0 +"LPS_16:0_[M+H]1+" 498.2826 0 0 0 0 +"PA_20:0_[M+NH4]1+" 498.319 0 0 0 0 +"PG_16:0_[M+H]1+" 499.2667 0 0 0 0 +"LPG_17:0_[M+H]1+" 499.303 0 0 0 0 +"LPG-O_18:0_[M+H]1+" 499.3394 0 0 0 0 +"LPE_20:5_[M+H]1+" 500.2772 0 0 0 0 +"LPG_16:1_[M+NH4]1+" 500.2983 0 0 0 0 +"PC_16:2_[M+H]1+" 502.2564 0 0 0 0 +"LPE_20:4_[M+H]1+" 502.2928 0 0 0 0 +"LPG_16:0_[M+NH4]1+" 502.3139 0 0 0 0 +"DG_26:0_[M+NH4]1+" 502.4466 0 0 0 0 +"PA_20:0_[M+Na]1+" 503.2744 0 0 0 0 +"LPS_15:1_[M+Na]1+" 504.2333 0 0 0 0 +"LPS-P_16:0_[M+Na]1+" 504.2697 0 0 0 0 +"LPE_20:3_[M+H]1+" 504.3085 0 0 0 0 +"Cer_33:2_[M+H-H2O]1+" 504.4775 0 0 0 0 +"LPG_16:1_[M+Na]1+" 505.2537 0 0 0 0 +"LPG_18:4_[M+H]1+" 505.2561 0 0 0 0 +"DG_29:2_[M+H-H2O]1+" 505.4251 0 0 0 0 +"LPS_15:0_[M+Na]1+" 506.2489 0 0 0 0 +"LPS-O_16:0_[M+Na]1+" 506.2853 0 0 0 0 +"LPC_17:2_[M+H]1+ / LPE_20:2_[M+H]1+" 506.3241 0 0 0 0 +"LPC-P_18:1_[M+H]1+" 506.3605 0 0 0 0 +"Cer_32:3_[M+H]1+" 506.4568 0 0 0 0 +"Cer_33:1_[M+H-H2O]1+" 506.4932 0 0 0 0 +"LPG_16:0_[M+Na]1+" 507.2693 0 0 0 0 +"LPG_18:3_[M+H]1+" 507.2717 0 0 0 0 +"DG_29:1_[M+H-H2O]1+" 507.4408 0 0 0 0 +"LPS_17:2_[M+H]1+" 508.267 0 0 0 0 +"LPC_17:1_[M+H]1+ / LPE_20:1_[M+H]1+" 508.3398 0 0 0 0 +"LPC-O_18:1_[M+H]1+" 508.3762 0 0 0 0 +"Cer_32:2_[M+H]1+" 508.4724 0 0 0 0 +"LPG_18:2_[M+H]1+" 509.2874 0 0 0 0 +"DG_29:0_[M+H-H2O]1+" 509.4564 0 0 0 0 +"LPS_17:1_[M+H]1+" 510.2826 0 0 0 0 +"PC_16:0_[M+H]1+ / LPS-P_18:0_[M+H]1+" 510.319 0 0 0 0 +"PC-O_17:0_[M+H]1+ / LPE_20:0_[M+H]1+" 510.3554 0 0 0 0 +"LPC-2O_18:0_[M+H]1+" 510.3918 0 0 0 0 +"Cer_32:1_[M+H]1+" 510.4881 0 0 0 0 +"LPG_18:1_[M+H]1+" 511.303 0 0 0 0 +"PS_16:0_[M+H]1+" 512.2619 0 0 0 0 +"LPS_17:0_[M+H]1+ / LPG_17:2_[M+NH4]1+" 512.2983 0 0 0 0 +"LPS-O_18:0_[M+H]1+" 512.3347 0 0 0 0 +"LPG_18:0_[M+H]1+" 513.3187 0 0 0 0 +"LPG_17:1_[M+NH4]1+" 514.3139 0 0 0 0 +"LPG-P_18:0_[M+NH4]1+" 514.3503 0 0 0 0 +"PG_16:0_[M+NH4]1+" 516.2932 0 0 0 0 +"LPC_18:4_[M+H]1+" 516.3085 0 0 0 0 +"LPG_17:0_[M+NH4]1+" 516.3296 0 0 0 0 +"LPG-O_18:0_[M+NH4]1+" 516.366 0 0 0 0 +"Cer_34:3_[M+H-H2O]1+" 516.4775 0 0 0 0 +"LPI_12:0_[M+H]1+" 517.2408 0 0 0 0 +"LPG_17:2_[M+Na]1+" 517.2537 0 0 0 0 +"DG_30:3_[M+H-H2O]1+" 517.4251 0 0 0 0 +"LPS_16:1_[M+Na]1+" 518.2489 0 0 0 0 +"LPS_18:4_[M+H]1+" 518.2513 0 0 0 0 +"LPC_18:3_[M+H]1+" 518.3241 0 0 0 0 +"Cer_34:2_[M+H-H2O]1+" 518.4932 0 0 0 0 +"LPG_17:1_[M+Na]1+" 519.2693 0 0 0 0 +"LPG-P_18:0_[M+Na]1+" 519.3057 0 0 0 0 +"DG_30:2_[M+H-H2O]1+" 519.4408 0 0 0 0 +"LPS_16:0_[M+Na]1+" 520.2646 0 0 0 0 +"LPS_18:3_[M+H]1+" 520.267 0 0 0 0 +"LPC_18:2_[M+H]1+" 520.3398 0 0 0 0 +"LPC-O_19:1_[M+H]1+" 520.3762 0 0 0 0 +"Cer_34:1_[M+H-H2O]1+" 520.5088 0 0 0 0 +"PG_16:0_[M+Na]1+" 521.2486 0 0 0 0 +"LPG_17:0_[M+Na]1+" 521.285 0 0 0 0 +"LPG-O_18:0_[M+Na]1+" 521.3214 0 0 0 0 +"DG_30:1_[M+H-H2O]1+" 521.4564 0 0 0 0 +"LPS_18:2_[M+H]1+ / LPG_18:4_[M+NH4]1+" 522.2826 0 0 0 0 +"LPC_18:1_[M+H]1+" 522.3554 0 0 0 0 +"LPC-2O_19:1_[M+H]1+" 522.3918 0 0 0 0 +"Cer_33:2_[M+H]1+" 522.4881 0 0 0 0 +"DG_30:0_[M+H-H2O]1+" 523.4721 0 0 0 0 +"LPS_18:1_[M+H]1+ / LPG_18:3_[M+NH4]1+" 524.2983 0 0 0 0 +"PE_20:0_[M+H]1+" 524.3347 0 0 0 0 +"LPC_18:0_[M+H]1+ / LPE_21:0_[M+H]1+" 524.3711 0 0 0 0 +"LPC-2O_19:0_[M+H]1+" 524.4075 0 0 0 0 +"Cer_33:1_[M+H]1+" 524.5037 0 0 0 0 +"LPG_19:1_[M+H]1+" 525.3187 0 0 0 0 +"LPG-P_20:0_[M+H]1+" 525.3551 0 0 0 0 +"LPE_22:6_[M+H]1+" 526.2928 0 0 0 0 +"LPS_18:0_[M+H]1+ / LPG_18:2_[M+NH4]1+" 526.3139 0 0 0 0 +"DG_28:2_[M+NH4]1+" 526.4466 0 0 0 0 +"LPG_18:4_[M+Na]1+" 527.238 0 0 0 0 +"LPG_19:0_[M+H]1+" 527.3343 0 0 0 0 +"LPG-O_20:0_[M+H]1+" 527.3707 0 0 0 0 +"LPG_18:1_[M+NH4]1+" 528.3296 0 0 0 0 +"DG_28:1_[M+NH4]1+" 528.4623 0 0 0 0 +"LPG_18:3_[M+Na]1+" 529.2537 0 0 0 0 +"LPS_17:2_[M+Na]1+" 530.2489 0 0 0 0 +"LPE_22:4_[M+H]1+" 530.3241 0 0 0 0 +"LPG_18:0_[M+NH4]1+" 530.3452 0 0 0 0 +"DG_28:0_[M+NH4]1+" 530.4779 0 0 0 0 +"CE_8:0_[M+NH4]1+" 530.4932 0 0 0 0 +"LPI_13:0_[M+H]1+" 531.2565 0 0 0 0 +"LPG_18:2_[M+Na]1+" 531.2693 0 0 0 0 +"LPG_20:5_[M+H]1+" 531.2717 0 0 0 0 +"DG_31:3_[M+H-H2O]1+" 531.4408 0 0 0 0 +"LPS_17:1_[M+Na]1+" 532.2646 0 0 0 0 +"LPS-P_18:0_[M+Na]1+" 532.301 0 0 0 0 +"LPC_19:3_[M+H]1+" 532.3398 0 0 0 0 +"Cer_35:2_[M+H-H2O]1+" 532.5088 0 0 0 0 +"LPG_18:1_[M+Na]1+" 533.285 0 0 0 0 +"LPG_20:4_[M+H]1+" 533.2874 0 0 0 0 +"DG_31:2_[M+H-H2O]1+" 533.4564 0 0 0 0 +"PS_16:0_[M+Na]1+" 534.2439 0 0 0 0 +"LPI_12:0_[M+NH4]1+" 534.2674 0 0 0 0 +"LPS_17:0_[M+Na]1+" 534.2802 0 0 0 0 +"LPS-O_18:0_[M+Na]1+" 534.3166 0 0 0 0 +"LPE_22:2_[M+H]1+" 534.3554 0 0 0 0 +"Cer_34:3_[M+H]1+" 534.4881 0 0 0 0 +"Cer_35:1_[M+H-H2O]1+" 534.5245 0 0 0 0 +"LPG_18:0_[M+Na]1+" 535.3006 0 0 0 0 +"LPG_20:3_[M+H]1+" 535.303 0 0 0 0 +"CE_8:0_[M+Na]1+" 535.4486 0 0 0 0 +"DG_31:1_[M+H-H2O]1+" 535.4721 0 0 0 0 +"PC_18:1_[M+H]1+" 536.3347 0 0 0 0 +"PC-O_19:1_[M+H]1+ / LPE_22:1_[M+H]1+" 536.3711 0 0 0 0 +"LPC-2O_20:1_[M+H]1+" 536.4075 0 0 0 0 +"Cer_34:2_[M+H]1+" 536.5037 0 0 0 0 +"LPG_20:2_[M+H]1+" 537.3187 0 0 0 0 +"DG_31:0_[M+H-H2O]1+" 537.4877 0 0 0 0 +"LPS_19:1_[M+H]1+" 538.3139 0 0 0 0 +"PC_18:0_[M+H]1+ / LPS-P_20:0_[M+H]1+" 538.3503 0 0 0 0 +"PC-O_19:0_[M+H]1+ / LPE_22:0_[M+H]1+" 538.3867 0 0 0 0 +"LPC-2O_20:0_[M+H]1+" 538.4231 0 0 0 0 +"Cer_34:1_[M+H]1+" 538.5194 0 0 0 0 +"LPI_12:0_[M+Na]1+" 539.2228 0 0 0 0 +"LPG_20:1_[M+H]1+" 539.3343 0 0 0 0 +"LPS_18:4_[M+Na]1+" 540.2333 0 0 0 0 +"LPS_19:0_[M+H]1+" 540.3296 0 0 0 0 +"LPS-O_20:0_[M+H]1+" 540.366 0 0 0 0 +"DG_29:2_[M+NH4]1+" 540.4623 0 0 0 0 +"LPG_20:0_[M+H]1+" 541.35 0 0 0 0 +"DG_32:5_[M+H-H2O]1+" 541.4251 0 0 0 0 +"LPS_18:3_[M+Na]1+" 542.2489 0 0 0 0 +"LPC_20:5_[M+H]1+" 542.3241 0 0 0 0 +"LPG_19:1_[M+NH4]1+" 542.3452 0 0 0 0 +"LPG-P_20:0_[M+NH4]1+" 542.3816 0 0 0 0 +"DG_29:1_[M+NH4]1+" 542.4779 0 0 0 0 +"LPI_14:1_[M+H]1+" 543.2565 0 0 0 0 +"DG_32:4_[M+H-H2O]1+" 543.4408 0 0 0 0 +"LPS_18:2_[M+Na]1+" 544.2646 0 0 0 0 +"LPS_20:5_[M+H]1+" 544.267 0 0 0 0 +"LPC_20:4_[M+H]1+" 544.3398 0 0 0 0 +"LPG_19:0_[M+NH4]1+" 544.3609 0 0 0 0 +"LPG-O_20:0_[M+NH4]1+" 544.3973 0 0 0 0 +"DG_29:0_[M+NH4]1+" 544.4936 0 0 0 0 +"Cer_36:3_[M+H-H2O]1+" 544.5088 0 0 0 0 +"LPI_14:0_[M+H]1+" 545.2721 0 0 0 0 +"DG_32:3_[M+H-H2O]1+" 545.4564 0 0 0 0 +"LPS_18:1_[M+Na]1+" 546.2802 0 0 0 0 +"LPS_20:4_[M+H]1+" 546.2826 0 0 0 0 +"LPC_20:3_[M+H]1+" 546.3554 0 0 0 0 +"Cer_36:2_[M+H-H2O]1+" 546.5245 0 0 0 0 +"LPG_19:1_[M+Na]1+" 547.3006 0 0 0 0 +"LPG-P_20:0_[M+Na]1+" 547.337 0 0 0 0 +"DG_32:2_[M+H-H2O]1+" 547.4721 0 0 0 0 +"LPI_13:0_[M+NH4]1+" 548.283 0 0 0 0 +"LPS_18:0_[M+Na]1+" 548.2959 0 0 0 0 +"LPS_20:3_[M+H]1+ / LPG_20:5_[M+NH4]1+" 548.2983 0 0 0 0 +"PC-O_20:2_[M+H]1+" 548.3711 0 0 0 0 +"Cer_36:1_[M+H-H2O]1+" 548.5401 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 548.684 0 0 0 0 +"LPG_19:0_[M+Na]1+" 549.3163 0 0 0 0 +"LPG-O_20:0_[M+Na]1+" 549.3527 0 0 0 0 +"DG_32:1_[M+H-H2O]1+" 549.4877 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 549.6898 0 0 0 0 +"LPS_20:2_[M+H]1+ / LPG_20:4_[M+NH4]1+" 550.3139 0 0 0 0 +"PC_19:1_[M+H]1+" 550.3503 0 0 0 0 +"PC-O_20:1_[M+H]1+" 550.3867 0 0 0 0 +"Cer_35:2_[M+H]1+" 550.5194 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 550.6952 0 0 0 0 +"DG_32:0_[M+H-H2O]1+" 551.5034 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 551.7009 0 0 0 0 +"LPS_20:1_[M+H]1+ / LPG_20:3_[M+NH4]1+" 552.3296 0 0 0 0 +"PC_19:0_[M+H]1+" 552.366 0 0 0 0 +"PC-O_20:0_[M+H]1+" 552.4024 0 0 0 0 +"LPC-2O_21:0_[M+H]1+" 552.4388 0 0 0 0 +"DG_30:3_[M+NH4]1+" 552.4623 0 0 0 0 +"Cer_35:1_[M+H]1+" 552.535 0 0 0 0 +"2H-IS_Cer_[M+H - H2O]1+" 552.7059 0 0 0 0 +"LPI_13:0_[M+Na]1+" 553.2384 0 0 0 0 +"LPG_20:5_[M+Na]1+" 553.2537 0 0 0 0 +"LPS_20:0_[M+H]1+ / LPG_20:2_[M+NH4]1+" 554.3452 0 0 0 0 +"PA_24:0_[M+NH4]1+" 554.3816 0 0 0 0 +"DG_30:2_[M+NH4]1+" 554.4779 0 0 0 0 +"LPG_20:4_[M+Na]1+" 555.2693 0 0 0 0 +"PG_20:0_[M+H]1+" 555.3293 0 0 0 0 +"LPG_21:0_[M+H]1+" 555.3656 0 0 0 0 +"DG_33:5_[M+H-H2O]1+" 555.4408 0 0 0 0 +"LPG_20:1_[M+NH4]1+" 556.3609 0 0 0 0 +"DG_30:1_[M+NH4]1+" 556.4936 0 0 0 0 +"LPI_15:1_[M+H]1+" 557.2721 0 0 0 0 +"LPG_20:3_[M+Na]1+" 557.285 0 0 0 0 +"LPG_22:6_[M+H]1+" 557.2874 0 0 0 0 +"LPI-P_16:0_[M+H]1+" 557.3085 0 0 0 0 +"DG_33:4_[M+H-H2O]1+" 557.4564 0 0 0 0 +"PC_20:4_[M+H]1+" 558.319 0 0 0 0 +"LPC_21:4_[M+H]1+" 558.3554 0 0 0 0 +"LPG_20:0_[M+NH4]1+" 558.3765 0 0 0 0 +"DG_30:0_[M+NH4]1+" 558.5092 0 0 0 0 +"CE_10:0_[M+NH4]1+" 558.5245 0 0 0 0 +"LPI_15:0_[M+H]1+" 559.2878 0 0 0 0 +"LPG_20:2_[M+Na]1+" 559.3006 0 0 0 0 +"LPI-O_16:0_[M+H]1+" 559.3242 0 0 0 0 +"PA_24:0_[M+Na]1+" 559.337 0 0 0 0 +"DG_33:3_[M+H-H2O]1+" 559.4721 0 0 0 0 +"LPI_14:1_[M+NH4]1+" 560.283 0 0 0 0 +"LPS_19:1_[M+Na]1+" 560.2959 0 0 0 0 +"LPS-P_20:0_[M+Na]1+" 560.3323 0 0 0 0 +"Cer_37:2_[M+H-H2O]1+" 560.5401 0 0 0 0 +"LPG_20:1_[M+Na]1+" 561.3163 0 0 0 0 +"LPG_22:4_[M+H]1+" 561.3187 0 0 0 0 +"DG_33:2_[M+H-H2O]1+" 561.4877 0 0 0 0 +"LPI_14:0_[M+NH4]1+" 562.2987 0 0 0 0 +"LPS_19:0_[M+Na]1+" 562.3115 0 0 0 0 +"LPS-O_20:0_[M+Na]1+" 562.3479 0 0 0 0 +"Cer_36:3_[M+H]1+" 562.5194 0 0 0 0 +"Cer_37:1_[M+H-H2O]1+" 562.5558 0 0 0 0 +"LPG_20:0_[M+Na]1+" 563.3319 0 0 0 0 +"CE_10:0_[M+Na]1+" 563.4799 0 0 0 0 +"DG_33:1_[M+H-H2O]1+" 563.5034 0 0 0 0 +"PC_20:1_[M+H]1+" 564.366 0 0 0 0 +"PC-O_21:1_[M+H]1+" 564.4024 0 0 0 0 +"Cer_36:2_[M+H]1+" 564.535 0 0 0 0 +"LPI_14:1_[M+Na]1+" 565.2384 0 0 0 0 +"LPG_22:2_[M+H]1+" 565.35 0 0 0 0 +"DG_33:0_[M+H-H2O]1+" 565.519 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 565.6887 0 0 0 0 +"LPS_20:5_[M+Na]1+" 566.2489 0 0 0 0 +"PC_20:0_[M+H]1+ / PE_23:0_[M+H]1+" 566.3816 0 0 0 0 +"PC-O_21:0_[M+H]1+" 566.418 0 0 0 0 +"DG_31:3_[M+NH4]1+" 566.4779 0 0 0 0 +"Cer_36:1_[M+H]1+" 566.5507 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 566.6943 0 0 0 0 +"LPI_14:0_[M+Na]1+" 567.2541 0 0 0 0 +"LPG_22:1_[M+H]1+" 567.3656 0 0 0 0 +"DG_34:6_[M+H-H2O]1+" 567.4408 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 567.7001 0 0 0 0 +"LPS_20:4_[M+Na]1+" 568.2646 0 0 0 0 +"PS_20:0_[M+H]1+" 568.3245 0 0 0 0 +"LPC_22:6_[M+H]1+" 568.3398 0 0 0 0 +"LPS_21:0_[M+H]1+" 568.3609 0 0 0 0 +"PA_25:0_[M+NH4]1+" 568.3973 0 0 0 0 +"DG_31:2_[M+NH4]1+" 568.4936 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 568.7056 0 0 0 0 +"LPG_22:0_[M+H]1+" 569.3813 0 0 0 0 +"DG_34:5_[M+H-H2O]1+" 569.4564 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 569.7111 0 0 0 0 +"LPS_20:3_[M+Na]1+" 570.2802 0 0 0 0 +"LPS_22:6_[M+H]1+" 570.2826 0 0 0 0 +"DG_31:1_[M+NH4]1+" 570.5092 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 570.716 0 0 0 0 +"LPI_16:1_[M+H]1+" 571.2878 0 0 0 0 +"DG_34:4_[M+H-H2O]1+" 571.4721 0 0 0 0 +"2H-IS_Cer_[M+H]1+" 571.7204 0 0 0 0 +"LPS_20:2_[M+Na]1+" 572.2959 0 0 0 0 +"PG_20:0_[M+NH4]1+" 572.3558 0 0 0 0 +"LPC_22:4_[M+H]1+" 572.3711 0 0 0 0 +"LPG_21:0_[M+NH4]1+" 572.3922 0 0 0 0 +"TG_30:0_[M+NH4]1+" 572.4885 0 0 0 0 +"DG_31:0_[M+NH4]1+" 572.5249 0 0 0 0 +"Cer_38:3_[M+H-H2O]1+" 572.5401 0 0 0 0 +"LPI_16:0_[M+H]1+" 573.3034 0 0 0 0 +"PA_25:0_[M+Na]1+" 573.3527 0 0 0 0 +"DG_34:3_[M+H-H2O]1+" 573.4877 0 0 0 0 +"LPI_15:1_[M+NH4]1+" 574.2987 0 0 0 0 +"LPS_20:1_[M+Na]1+" 574.3115 0 0 0 0 +"LPS_22:4_[M+H]1+ / LPG_22:6_[M+NH4]1+" 574.3139 0 0 0 0 +"LPI-P_16:0_[M+NH4]1+" 574.3351 0 0 0 0 +"Cer_38:2_[M+H-H2O]1+" 574.5558 0 0 0 0 +"DG_34:2_[M+H-H2O]1+" 575.5034 0 0 0 0 +"LPI_15:0_[M+NH4]1+" 576.3143 0 0 0 0 +"LPS_20:0_[M+Na]1+" 576.3272 0 0 0 0 +"LPI-O_16:0_[M+NH4]1+" 576.3507 0 0 0 0 +"LPC_22:2_[M+H]1+" 576.4024 0 0 0 0 +"DG_32:5_[M+NH4]1+" 576.4623 0 0 0 0 +"Cer_38:1_[M+H-H2O]1+" 576.5714 0 0 0 0 +"PG_20:0_[M+Na]1+" 577.3112 0 0 0 0 +"LPG_21:0_[M+Na]1+" 577.3476 0 0 0 0 +"TG_30:0_[M+Na]1+" 577.4439 0 0 0 0 +"DG_34:1_[M+H-H2O]1+" 577.519 0 0 0 0 +"LPS_22:2_[M+H]1+ / LPG_22:4_[M+NH4]1+" 578.3452 0 0 0 0 +"PC_21:1_[M+H]1+" 578.3816 0 0 0 0 +"LPC_22:1_[M+H]1+" 578.418 0 0 0 0 +"DG_32:4_[M+NH4]1+" 578.4779 0 0 0 0 +"Cer_37:2_[M+H]1+" 578.5507 0 0 0 0 +"LPI_15:1_[M+Na]1+" 579.2541 0 0 0 0 +"LPG_22:6_[M+Na]1+" 579.2693 0 0 0 0 +"LPI-P_16:0_[M+Na]1+" 579.2905 0 0 0 0 +"DG_34:0_[M+H-H2O]1+" 579.5347 0 0 0 0 +"LPS_22:1_[M+H]1+" 580.3609 0 0 0 0 +"PC_21:0_[M+H]1+ / PE_24:0_[M+H]1+ / PA_26:1_[M+NH4]1+" 580.3973 0 0 0 0 +"PC-O_22:0_[M+H]1+" 580.4337 0 0 0 0 +"DG_32:3_[M+NH4]1+" 580.4936 0 0 0 0 +"Cer_37:1_[M+H]1+" 580.5663 0 0 0 0 +"LPI_15:0_[M+Na]1+" 581.2697 0 0 0 0 +"LPI-O_16:0_[M+Na]1+" 581.3061 0 0 0 0 +"DG_35:6_[M+H-H2O]1+" 581.4564 0 0 0 0 +"LPS_22:0_[M+H]1+ / LPG_22:2_[M+NH4]1+" 582.3765 0 0 0 0 +"PA_26:0_[M+NH4]1+" 582.4129 0 0 0 0 +"DG_32:2_[M+NH4]1+" 582.5092 0 0 0 0 +"LPI_17:2_[M+H]1+" 583.2878 0 0 0 0 +"LPG_22:4_[M+Na]1+" 583.3006 0 0 0 0 +"DG_35:5_[M+H-H2O]1+" 583.4721 0 0 0 0 +"LPG_22:1_[M+NH4]1+" 584.3922 0 0 0 0 +"DG_32:1_[M+NH4]1+" 584.5249 0 0 0 0 +"LPI_17:1_[M+H]1+" 585.3034 0 0 0 0 +"LPI-P_18:0_[M+H]1+" 585.3398 0 0 0 0 +"PA_26:1_[M+Na]1+" 585.3527 0 0 0 0 +"DG_35:4_[M+H-H2O]1+" 585.4877 0 0 0 0 +"LPG_22:0_[M+NH4]1+" 586.4078 0 0 0 0 +"DG_32:0_[M+NH4]1+" 586.5405 0 0 0 0 +"CE_12:0_[M+NH4]1+" 586.5558 0 0 0 0 +"LPI_17:0_[M+H]1+" 587.3191 0 0 0 0 +"LPG_22:2_[M+Na]1+" 587.3319 0 0 0 0 +"LPI-O_18:0_[M+H]1+" 587.3555 0 0 0 0 +"PA_26:0_[M+Na]1+" 587.3683 0 0 0 0 +"DG_35:3_[M+H-H2O]1+" 587.5034 0 0 0 0 +"LPI_16:1_[M+NH4]1+" 588.3143 0 0 0 0 +"Cer_39:2_[M+H-H2O]1+" 588.5714 0 0 0 0 +"LPG_22:1_[M+Na]1+" 589.3476 0 0 0 0 +"DG_35:2_[M+H-H2O]1+" 589.519 0 0 0 0 +"PS_20:0_[M+Na]1+" 590.3065 0 0 0 0 +"LPI_16:0_[M+NH4]1+" 590.33 0 0 0 0 +"LPS_21:0_[M+Na]1+" 590.3428 0 0 0 0 +"DG_33:5_[M+NH4]1+" 590.4779 0 0 0 0 +"Cer_38:3_[M+H]1+" 590.5507 0 0 0 0 +"Cer_39:1_[M+H-H2O]1+" 590.5871 0 0 0 0 +"LPG_22:0_[M+Na]1+" 591.3632 0 0 0 0 +"DG_36:8_[M+H-H2O]1+" 591.4408 0 0 0 0 +"CE_12:0_[M+Na]1+" 591.5112 0 0 0 0 +"DG_35:1_[M+H-H2O]1+" 591.5347 0 0 0 0 +"LPS_22:6_[M+Na]1+" 592.2646 0 0 0 0 +"PC_22:1_[M+H]1+" 592.3973 0 0 0 0 +"DG_33:4_[M+NH4]1+" 592.4936 0 0 0 0 +"Cer_38:2_[M+H]1+" 592.5663 0 0 0 0 +"LPI_16:1_[M+Na]1+" 593.2697 0 0 0 0 +"LPI_18:4_[M+H]1+" 593.2721 0 0 0 0 +"DG_36:7_[M+H-H2O]1+" 593.4564 0 0 0 0 +"DG_35:0_[M+H-H2O]1+" 593.5503 0 0 0 0 +"PC_22:0_[M+H]1+ / PE_25:0_[M+H]1+ / PA_27:1_[M+NH4]1+" 594.4129 0 0 0 0 +"LPC-2O_24:0_[M+H]1+" 594.4857 0 0 0 0 +"DG_33:3_[M+NH4]1+" 594.5092 0 0 0 0 +"Cer_38:1_[M+H]1+" 594.582 0 0 0 0 +"LPI_16:0_[M+Na]1+" 595.2854 0 0 0 0 +"LPI_18:3_[M+H]1+" 595.2878 0 0 0 0 +"DG_36:6_[M+H-H2O]1+" 595.4721 0 0 0 0 +"LPS_22:4_[M+Na]1+" 596.2959 0 0 0 0 +"PA_27:0_[M+NH4]1+" 596.4286 0 0 0 0 +"DG_33:2_[M+NH4]1+" 596.5249 0 0 0 0 +"LPI_18:2_[M+H]1+" 597.3034 0 0 0 0 +"DG_36:5_[M+H-H2O]1+" 597.4877 0 0 0 0 +"DG_33:1_[M+NH4]1+" 598.5405 0 0 0 0 +"LPI_18:1_[M+H]1+" 599.3191 0 0 0 0 +"PA_27:1_[M+Na]1+" 599.3683 0 0 0 0 +"DG_36:4_[M+H-H2O]1+" 599.5034 0 0 0 0 +"LPI_17:2_[M+NH4]1+" 600.3143 0 0 0 0 +"LPS_22:2_[M+Na]1+" 600.3272 0 0 0 0 +"DG_33:0_[M+NH4]1+" 600.5562 0 0 0 0 +"LPI_18:0_[M+H]1+" 601.3347 0 0 0 0 +"PA_27:0_[M+Na]1+" 601.384 0 0 0 0 +"DG_36:3_[M+H-H2O]1+" 601.519 0 0 0 0 +"LPI_17:1_[M+NH4]1+" 602.33 0 0 0 0 +"LPS_22:1_[M+Na]1+" 602.3428 0 0 0 0 +"LPI-P_18:0_[M+NH4]1+" 602.3664 0 0 0 0 +"DG_34:6_[M+NH4]1+" 602.4779 0 0 0 0 +"Cer_40:2_[M+H-H2O]1+" 602.5871 0 0 0 0 +"DG_36:2_[M+H-H2O]1+" 603.5347 0 0 0 0 +"LPI_17:0_[M+NH4]1+" 604.3456 0 0 0 0 +"LPS_22:0_[M+Na]1+" 604.3585 0 0 0 0 +"LPI-O_18:0_[M+NH4]1+" 604.382 0 0 0 0 +"DG_34:5_[M+NH4]1+" 604.4936 0 0 0 0 +"Cer_40:1_[M+H-H2O]1+" 604.6027 0 0 0 0 +"2H-IS_PG_U" 604.688 0 0 0 0 +"LPI_17:2_[M+Na]1+" 605.2697 0 0 0 0 +"DG_36:1_[M+H-H2O]1+" 605.5503 0 0 0 0 +"2H-IS_PG_U" 605.6941 0 0 0 0 +"2H-IS_PA_U" 605.6949 0 0 0 0 +"2H-IS_PI_U" 605.6951 0 0 0 0 +"PE_26:1_[M+H]1+ / PA_28:2_[M+NH4]1+" 606.4129 0 0 0 0 +"DG_34:4_[M+NH4]1+" 606.5092 0 0 0 0 +"Cer_39:2_[M+H]1+" 606.582 0 0 0 0 +"2H-IS_PG_U" 606.7002 0 0 0 0 +"2H-IS_PA_U" 606.701 0 0 0 0 +"2H-IS_PI_U" 606.7012 0 0 0 0 +"LPI_17:1_[M+Na]1+" 607.2854 0 0 0 0 +"LPI-P_18:0_[M+Na]1+" 607.3218 0 0 0 0 +"DG_37:7_[M+H-H2O]1+" 607.4721 0 0 0 0 +"DG_36:0_[M+H-H2O]1+" 607.566 0 0 0 0 +"2H-IS_PG_U" 607.7059 0 0 0 0 +"2H-IS_PA_U" 607.7067 0 0 0 0 +"2H-IS_PI_U" 607.707 0 0 0 0 +"PE_26:0_[M+H]1+ / PA_28:1_[M+NH4]1+" 608.4286 0 0 0 0 +"LPC_24:0_[M+H]1+" 608.465 0 0 0 0 +"DG_34:3_[M+NH4]1+" 608.5249 0 0 0 0 +"Cer_39:1_[M+H]1+" 608.5976 0 0 0 0 +"2H-IS_PG_U" 608.7117 0 0 0 0 +"2H-IS_PA_U" 608.7125 0 0 0 0 +"2H-IS_PI_U" 608.7127 0 0 0 0 +"LPI_17:0_[M+Na]1+" 609.301 0 0 0 0 +"LPI-O_18:0_[M+Na]1+" 609.3374 0 0 0 0 +"DG_37:6_[M+H-H2O]1+" 609.4877 0 0 0 0 +"2H-IS_PG_U" 609.716 0 0 0 0 +"2H-IS_PA_U" 609.7169 0 0 0 0 +"2H-IS_PI_U" 609.7171 0 0 0 0 +"LPI_18:4_[M+NH4]1+" 610.2987 0 0 0 0 +"PA_28:0_[M+NH4]1+" 610.4442 0 0 0 0 +"DG_34:2_[M+NH4]1+" 610.5405 0 0 0 0 +"2H-IS_PG_U" 610.7196 0 0 0 0 +"2H-IS_PI_U" 610.7206 0 0 0 0 +"PA_28:2_[M+Na]1+" 611.3683 0 0 0 0 +"PG_24:0_[M+H]1+" 611.3919 0 0 0 0 +"DG_37:5_[M+H-H2O]1+" 611.5034 0 0 0 0 +"LPI_18:3_[M+NH4]1+" 612.3143 0 0 0 0 +"DG_34:1_[M+NH4]1+" 612.5562 0 0 0 0 +"CE_14:1_[M+NH4]1+" 612.5714 0 0 0 0 +"LPI_19:1_[M+H]1+" 613.3347 0 0 0 0 +"LPI-P_20:0_[M+H]1+" 613.3711 0 0 0 0 +"PA_28:1_[M+Na]1+" 613.384 0 0 0 0 +"DG_37:4_[M+H-H2O]1+" 613.519 0 0 0 0 +"LPI_18:2_[M+NH4]1+" 614.33 0 0 0 0 +"DG_34:0_[M+NH4]1+" 614.5718 0 0 0 0 +"CE_14:0_[M+NH4]1+" 614.5871 0 0 0 0 +"LPI_18:4_[M+Na]1+" 615.2541 0 0 0 0 +"LPI_19:0_[M+H]1+" 615.3504 0 0 0 0 +"LPI-O_20:0_[M+H]1+" 615.3868 0 0 0 0 +"PA_28:0_[M+Na]1+" 615.3996 0 0 0 0 +"DG_37:3_[M+H-H2O]1+" 615.5347 0 0 0 0 +"LPI_18:1_[M+NH4]1+" 616.3456 0 0 0 0 +"DG_35:6_[M+NH4]1+" 616.4936 0 0 0 0 +"Cer_41:2_[M+H-H2O]1+" 616.6027 0 0 0 0 +"LPI_18:3_[M+Na]1+" 617.2697 0 0 0 0 +"DG_38:9_[M+H-H2O]1+" 617.4564 0 0 0 0 +"CE_14:1_[M+Na]1+" 617.5268 0 0 0 0 +"DG_37:2_[M+H-H2O]1+" 617.5503 0 0 0 0 +"LPI_18:0_[M+NH4]1+" 618.3613 0 0 0 0 +"DG_35:5_[M+NH4]1+" 618.5092 0 0 0 0 +"Cer_41:1_[M+H-H2O]1+" 618.6184 0 0 0 0 +"LPI_18:2_[M+Na]1+" 619.2854 0 0 0 0 +"LPI_20:5_[M+H]1+" 619.2878 0 0 0 0 +"DG_38:8_[M+H-H2O]1+" 619.4721 0 0 0 0 +"CE_14:0_[M+Na]1+" 619.5425 0 0 0 0 +"DG_37:1_[M+H-H2O]1+" 619.566 0 0 0 0 +"PE_27:1_[M+H]1+ / PA_29:2_[M+NH4]1+" 620.4286 0 0 0 0 +"PE-P_28:0_[M+H]1+" 620.465 0 0 0 0 +"DG_35:4_[M+NH4]1+" 620.5249 0 0 0 0 +"Cer_40:2_[M+H]1+" 620.5976 0 0 0 0 +"LPI_18:1_[M+Na]1+" 621.301 0 0 0 0 +"LPI_20:4_[M+H]1+" 621.3034 0 0 0 0 +"DG_38:7_[M+H-H2O]1+" 621.4877 0 0 0 0 +"DG_37:0_[M+H-H2O]1+" 621.5816 0 0 0 0 +"PC_24:0_[M+H]1+ / PE_27:0_[M+H]1+ / PA_29:1_[M+NH4]1+" 622.4442 0 0 0 0 +"PE-O_28:0_[M+H]1+" 622.4806 0 0 0 0 +"DG_35:3_[M+NH4]1+" 622.5405 0 0 0 0 +"Cer_40:1_[M+H]1+" 622.6133 0 0 0 0 +"LPI_18:0_[M+Na]1+" 623.3167 0 0 0 0 +"LPI_20:3_[M+H]1+" 623.3191 0 0 0 0 +"DG_38:6_[M+H-H2O]1+" 623.5034 0 0 0 0 +"PS_24:0_[M+H]1+" 624.3871 0 0 0 0 +"PA_29:0_[M+NH4]1+" 624.4599 0 0 0 0 +"DG_35:2_[M+NH4]1+" 624.5562 0 0 0 0 +"LPI_20:2_[M+H]1+" 625.3347 0 0 0 0 +"PA_29:2_[M+Na]1+" 625.384 0 0 0 0 +"PG_25:0_[M+H]1+" 625.4075 0 0 0 0 +"DG_38:5_[M+H-H2O]1+" 625.519 0 0 0 0 +"DG_36:8_[M+NH4]1+" 626.4779 0 0 0 0 +"DG_35:1_[M+NH4]1+" 626.5718 0 0 0 0 +"CE_15:1_[M+NH4]1+" 626.5871 0 0 0 0 +"LPI_20:1_[M+H]1+" 627.3504 0 0 0 0 +"PA_29:1_[M+Na]1+" 627.3996 0 0 0 0 +"DG_38:4_[M+H-H2O]1+" 627.5347 0 0 0 0 +"PG_24:0_[M+NH4]1+" 628.4184 0 0 0 0 +"DG_36:7_[M+NH4]1+" 628.4936 0 0 0 0 +"DG_35:0_[M+NH4]1+" 628.5875 0 0 0 0 +"CE_15:0_[M+NH4]1+" 628.6027 0 0 0 0 +"LPI_20:0_[M+H]1+" 629.366 0 0 0 0 +"PA_29:0_[M+Na]1+" 629.4153 0 0 0 0 +"DG_38:3_[M+H-H2O]1+" 629.5503 0 0 0 0 +"LPI_19:1_[M+NH4]1+" 630.3613 0 0 0 0 +"LPI-P_20:0_[M+NH4]1+" 630.3977 0 0 0 0 +"PA_30:4_[M+NH4]1+" 630.4129 0 0 0 0 +"DG_36:6_[M+NH4]1+" 630.5092 0 0 0 0 +"Cer_42:2_[M+H-H2O]1+" 630.6184 0 0 0 0 +"CE_15:1_[M+Na]1+" 631.5425 0 0 0 0 +"DG_38:2_[M+H-H2O]1+" 631.566 0 0 0 0 +"LPI_19:0_[M+NH4]1+" 632.3769 0 0 0 0 +"LPI-O_20:0_[M+NH4]1+" 632.4133 0 0 0 0 +"PE_28:2_[M+H]1+ / PA_30:3_[M+NH4]1+" 632.4286 0 0 0 0 +"DG_36:5_[M+NH4]1+" 632.5249 0 0 0 0 +"Cer_42:1_[M+H-H2O]1+" 632.634 0 0 0 0 +"PG_24:0_[M+Na]1+" 633.3738 0 0 0 0 +"DG_39:8_[M+H-H2O]1+" 633.4877 0 0 0 0 +"CE_15:0_[M+Na]1+" 633.5581 0 0 0 0 +"DG_38:1_[M+H-H2O]1+" 633.5816 0 0 0 0 +"PE_28:1_[M+H]1+ / PA_30:2_[M+NH4]1+" 634.4442 0 0 0 0 +"PE-P_29:0_[M+H]1+" 634.4806 0 0 0 0 +"DG_36:4_[M+NH4]1+" 634.5405 0 0 0 0 +"Cer_41:2_[M+H]1+" 634.6133 0 0 0 0 +"LPI_19:1_[M+Na]1+" 635.3167 0 0 0 0 +"LPI-P_20:0_[M+Na]1+" 635.3531 0 0 0 0 +"PA_30:4_[M+Na]1+" 635.3683 0 0 0 0 +"DG_39:7_[M+H-H2O]1+" 635.5034 0 0 0 0 +"DG_38:0_[M+H-H2O]1+" 635.5973 0 0 0 0 +"LPI_20:5_[M+NH4]1+" 636.3143 0 0 0 0 +"PC_25:0_[M+H]1+ / PE_28:0_[M+H]1+ / PA_30:1_[M+NH4]1+" 636.4599 0 0 0 0 +"PE-O_29:0_[M+H]1+" 636.4963 0 0 0 0 +"DG_36:3_[M+NH4]1+" 636.5562 0 0 0 0 +"CE_16:3_[M+NH4]1+" 636.5714 0 0 0 0 +"Cer_41:1_[M+H]1+" 636.6289 0 0 0 0 +"LPI_19:0_[M+Na]1+" 637.3323 0 0 0 0 +"LPI-O_20:0_[M+Na]1+" 637.3687 0 0 0 0 +"PA_30:3_[M+Na]1+" 637.384 0 0 0 0 +"PG_26:1_[M+H]1+" 637.4075 0 0 0 0 +"DG_39:6_[M+H-H2O]1+" 637.519 0 0 0 0 +"LPI_20:4_[M+NH4]1+" 638.33 0 0 0 0 +"PS_25:0_[M+H]1+" 638.4028 0 0 0 0 +"PA_30:0_[M+NH4]1+" 638.4755 0 0 0 0 +"DG_36:2_[M+NH4]1+" 638.5718 0 0 0 0 +"CE_16:2_[M+NH4]1+" 638.5871 0 0 0 0 +"PA_30:2_[M+Na]1+" 639.3996 0 0 0 0 +"PG_26:0_[M+H]1+" 639.4232 0 0 0 0 +"DG_39:5_[M+H-H2O]1+" 639.5347 0 0 0 0 +"LPI_20:3_[M+NH4]1+" 640.3456 0 0 0 0 +"DG_36:1_[M+NH4]1+" 640.5875 0 0 0 0 +"CE_16:1_[M+NH4]1+" 640.6027 0 0 0 0 +"LPI_20:5_[M+Na]1+" 641.2697 0 0 0 0 +"PA_30:1_[M+Na]1+" 641.4153 0 0 0 0 +"CE_16:3_[M+Na]1+" 641.5268 0 0 0 0 +"DG_39:4_[M+H-H2O]1+" 641.5503 0 0 0 0 +"LPI_20:2_[M+NH4]1+" 642.3613 0 0 0 0 +"PG_25:0_[M+NH4]1+" 642.4341 0 0 0 0 +"DG_37:7_[M+NH4]1+" 642.5092 0 0 0 0 +"DG_36:0_[M+NH4]1+" 642.6031 0 0 0 0 +"CE_16:0_[M+NH4]1+" 642.6184 0 0 0 0 +"LPI_20:4_[M+Na]1+" 643.2854 0 0 0 0 +"LPI_21:0_[M+H]1+" 643.3817 0 0 0 0 +"PA_30:0_[M+Na]1+" 643.4309 0 0 0 0 +"DG_40:10_[M+H-H2O]1+" 643.4721 0 0 0 0 +"CE_16:2_[M+Na]1+" 643.5425 0 0 0 0 +"DG_39:3_[M+H-H2O]1+" 643.566 0 0 0 0 +"LPI_20:1_[M+NH4]1+" 644.3769 0 0 0 0 +"PA_31:4_[M+NH4]1+" 644.4286 0 0 0 0 +"DG_37:6_[M+NH4]1+" 644.5249 0 0 0 0 +"LPI_20:3_[M+Na]1+" 645.301 0 0 0 0 +"LPI_22:6_[M+H]1+" 645.3034 0 0 0 0 +"DG_40:9_[M+H-H2O]1+" 645.4877 0 0 0 0 +"CE_16:1_[M+Na]1+" 645.5581 0 0 0 0 +"DG_39:2_[M+H-H2O]1+" 645.5816 0 0 0 0 +"PS_24:0_[M+Na]1+" 646.3691 0 0 0 0 +"LPI_20:0_[M+NH4]1+" 646.3926 0 0 0 0 +"PE_29:2_[M+H]1+ / PA_31:3_[M+NH4]1+" 646.4442 0 0 0 0 +"PE-P_30:1_[M+H]1+" 646.4806 0 0 0 0 +"DG_37:5_[M+NH4]1+" 646.5405 0 0 0 0 +"Cer_43:1_[M+H-H2O]1+" 646.6497 0 0 0 0 +"LPI_20:2_[M+Na]1+" 647.3167 0 0 0 0 +"PG_25:0_[M+Na]1+" 647.3895 0 0 0 0 +"DG_40:8_[M+H-H2O]1+" 647.5034 0 0 0 0 +"SM_30:1_[M+H]1+" 647.5123 0 0 0 0 +"CE_16:0_[M+Na]1+" 647.5738 0 0 0 0 +"DG_39:1_[M+H-H2O]1+" 647.5973 0 0 0 0 +"PC_26:1_[M+H]1+ / PE_29:1_[M+H]1+ / PA_31:2_[M+NH4]1+" 648.4599 0 0 0 0 +"PE-O_30:1_[M+H]1+" 648.4963 0 0 0 0 +"DG_37:4_[M+NH4]1+" 648.5562 0 0 0 0 +"Cer_42:2_[M+H]1+" 648.6289 0 0 0 0 +"LPI_20:1_[M+Na]1+" 649.3323 0 0 0 0 +"LPI_22:4_[M+H]1+" 649.3347 0 0 0 0 +"PA_31:4_[M+Na]1+" 649.384 0 0 0 0 +"DG_40:7_[M+H-H2O]1+" 649.519 0 0 0 0 +"SM_30:0_[M+H]1+" 649.5279 0 0 0 0 +"DG_39:0_[M+H-H2O]1+" 649.6129 0 0 0 0 +"PS_26:1_[M+H]1+" 650.4028 0 0 0 0 +"PC_26:0_[M+H]1+ / PE_29:0_[M+H]1+ / PA_31:1_[M+NH4]1+" 650.4755 0 0 0 0 +"PE-O_30:0_[M+H]1+" 650.5119 0 0 0 0 +"PC-2O_28:0_[M+H]1+" 650.5483 0 0 0 0 +"DG_37:3_[M+NH4]1+" 650.5718 0 0 0 0 +"Cer_42:1_[M+H]1+" 650.6446 0 0 0 0 +"LPI_20:0_[M+Na]1+" 651.348 0 0 0 0 +"PA_31:3_[M+Na]1+" 651.3996 0 0 0 0 +"PG_27:1_[M+H]1+" 651.4232 0 0 0 0 +"PG-P_28:0_[M+H]1+" 651.4595 0 0 0 0 +"DG_40:6_[M+H-H2O]1+" 651.5347 0 0 0 0 +"PS_26:0_[M+H]1+" 652.4184 0 0 0 0 +"PA_31:0_[M+NH4]1+" 652.4912 0 0 0 0 +"DG_38:9_[M+NH4]1+" 652.4936 0 0 0 0 +"DG_37:2_[M+NH4]1+" 652.5875 0 0 0 0 +"CE_17:2_[M+NH4]1+" 652.6027 0 0 0 0 +"LPI_22:2_[M+H]1+" 653.366 0 0 0 0 +"PA_31:2_[M+Na]1+" 653.4153 0 0 0 0 +"PG_27:0_[M+H]1+" 653.4388 0 0 0 0 +"PG-O_28:0_[M+H]1+" 653.4752 0 0 0 0 +"DG_40:5_[M+H-H2O]1+" 653.5503 0 0 0 0 +"PG_26:1_[M+NH4]1+" 654.4341 0 0 0 0 +"DG_38:8_[M+NH4]1+" 654.5092 0 0 0 0 +"DG_37:1_[M+NH4]1+" 654.6031 0 0 0 0 +"CE_17:1_[M+NH4]1+" 654.6184 0 0 0 0 +"LPI_22:1_[M+H]1+" 655.3817 0 0 0 0 +"PA_31:1_[M+Na]1+" 655.4309 0 0 0 0 +"DG_40:4_[M+H-H2O]1+" 655.566 0 0 0 0 +"PE_30:4_[M+H]1+ / PA_32:5_[M+NH4]1+" 656.4286 0 0 0 0 +"PG_26:0_[M+NH4]1+" 656.4497 0 0 0 0 +"DG_38:7_[M+NH4]1+" 656.5249 0 0 0 0 +"TG_36:0_[M+NH4]1+" 656.5824 0 0 0 0 +"DG_37:0_[M+NH4]1+" 656.6188 0 0 0 0 +"CE_17:0_[M+NH4]1+" 656.634 0 0 0 0 +"LPI_22:0_[M+H]1+" 657.3973 0 0 0 0 +"PA_31:0_[M+Na]1+" 657.4466 0 0 0 0 +"CE_17:2_[M+Na]1+" 657.5581 0 0 0 0 +"DG_40:3_[M+H-H2O]1+" 657.5816 0 0 0 0 +"PE_30:3_[M+H]1+ / PA_32:4_[M+NH4]1+" 658.4442 0 0 0 0 +"DG_38:6_[M+NH4]1+" 658.5405 0 0 0 0 +"Cer_44:2_[M+H-H2O]1+" 658.6497 0 0 0 0 +"PG_26:1_[M+Na]1+" 659.3895 0 0 0 0 +"CE_17:1_[M+Na]1+" 659.5738 0 0 0 0 +"DG_40:2_[M+H-H2O]1+" 659.5973 0 0 0 0 +"PS_25:0_[M+Na]1+" 660.3847 0 0 0 0 +"LPI_21:0_[M+NH4]1+" 660.4082 0 0 0 0 +"PE_30:2_[M+H]1+ / PA_32:3_[M+NH4]1+" 660.4599 0 0 0 0 +"PE-P_31:1_[M+H]1+" 660.4963 0 0 0 0 +"DG_38:5_[M+NH4]1+" 660.5562 0 0 0 0 +"Cer_44:1_[M+H-H2O]1+" 660.6653 0 0 0 0 +"PA_32:5_[M+Na]1+" 661.384 0 0 0 0 +"PG_26:0_[M+Na]1+" 661.4051 0 0 0 0 +"TG_36:0_[M+Na]1+" 661.5378 0 0 0 0 +"CE_17:0_[M+Na]1+" 661.5894 0 0 0 0 +"DG_40:1_[M+H-H2O]1+" 661.6129 0 0 0 0 +"LPI_22:6_[M+NH4]1+" 662.33 0 0 0 0 +"PC_27:1_[M+H]1+ / PE_30:1_[M+H]1+ / PA_32:2_[M+NH4]1+" 662.4755 0 0 0 0 +"PC-P_28:0_[M+H]1+ / PE-O_31:1_[M+H]1+" 662.5119 0 0 0 0 +"DG_38:4_[M+NH4]1+" 662.5718 0 0 0 0 +"CE_18:4_[M+NH4]1+" 662.5871 0 0 0 0 +"PA_32:4_[M+Na]1+" 663.3996 0 0 0 0 +"PG_28:2_[M+H]1+" 663.4232 0 0 0 0 +"DG_41:7_[M+H-H2O]1+" 663.5347 0 0 0 0 +"SM_31:1_[M+H]1+" 663.5436 0 0 0 0 +"DG_40:0_[M+H-H2O]1+" 663.6286 0 0 0 0 +"PS_27:1_[M+H]1+" 664.4184 0 0 0 0 +"PS-P_28:0_[M+H]1+" 664.4548 0 0 0 0 +"PC_27:0_[M+H]1+ / PE_30:0_[M+H]1+ / PA_32:1_[M+NH4]1+" 664.4912 0 0 0 0 +"PC-O_28:0_[M+H]1+ / PE-O_31:0_[M+H]1+" 664.5276 0 0 0 0 +"PE-2O_32:0_[M+H]1+" 664.564 0 0 0 0 +"DG_38:3_[M+NH4]1+" 664.5875 0 0 0 0 +"CE_18:3_[M+NH4]1+" 664.6027 0 0 0 0 +"Cer_43:1_[M+H]1+" 664.6602 0 0 0 0 +"LPI_21:0_[M+Na]1+" 665.3636 0 0 0 0 +"PA_32:3_[M+Na]1+" 665.4153 0 0 0 0 +"PG_28:1_[M+H]1+" 665.4388 0 0 0 0 +"PG-P_29:0_[M+H]1+" 665.4752 0 0 0 0 +"DG_41:6_[M+H-H2O]1+" 665.5503 0 0 0 0 +"LPI_22:4_[M+NH4]1+" 666.3613 0 0 0 0 +"PS_27:0_[M+H]1+" 666.4341 0 0 0 0 +"PS-O_29:1_[M+H]1+" 666.4704 0 0 0 0 +"PA_32:0_[M+NH4]1+" 666.5068 0 0 0 0 +"DG_38:2_[M+NH4]1+" 666.6031 0 0 0 0 +"CE_18:2_[M+NH4]1+" 666.6184 0 0 0 0 +"LPI_22:6_[M+Na]1+" 667.2854 0 0 0 0 +"PA_32:2_[M+Na]1+" 667.4309 0 0 0 0 +"PG_28:0_[M+H]1+" 667.4545 0 0 0 0 +"PG-O_29:0_[M+H]1+" 667.4908 0 0 0 0 +"CE_18:4_[M+Na]1+" 667.5425 0 0 0 0 +"DG_41:5_[M+H-H2O]1+" 667.566 0 0 0 0 +"PG_27:1_[M+NH4]1+" 668.4497 0 0 0 0 +"PG-P_28:0_[M+NH4]1+" 668.4861 0 0 0 0 +"DG_39:8_[M+NH4]1+" 668.5249 0 0 0 0 +"DG_38:1_[M+NH4]1+" 668.6188 0 0 0 0 +"CE_18:1_[M+NH4]1+" 668.634 0 0 0 0 +"PA_32:1_[M+Na]1+" 669.4466 0 0 0 0 +"DG_42:11_[M+H-H2O]1+" 669.4877 0 0 0 0 +"CE_18:3_[M+Na]1+" 669.5581 0 0 0 0 +"DG_41:4_[M+H-H2O]1+" 669.5816 0 0 0 0 +"LPI_22:2_[M+NH4]1+" 670.3926 0 0 0 0 +"PE_31:4_[M+H]1+ / PA_33:5_[M+NH4]1+" 670.4442 0 0 0 0 +"PG_27:0_[M+NH4]1+" 670.4654 0 0 0 0 +"PG-O_28:0_[M+NH4]1+" 670.5017 0 0 0 0 +"DG_39:7_[M+NH4]1+" 670.5405 0 0 0 0 +"TG_37:0_[M+NH4]1+" 670.598 0 0 0 0 +"DG_38:0_[M+NH4]1+" 670.6344 0 0 0 0 +"CE_18:0_[M+NH4]1+" 670.6497 0 0 0 0 +"LPI_22:4_[M+Na]1+" 671.3167 0 0 0 0 +"PA_32:0_[M+Na]1+" 671.4622 0 0 0 0 +"DG_42:10_[M+H-H2O]1+" 671.5034 0 0 0 0 +"CE_18:2_[M+Na]1+" 671.5738 0 0 0 0 +"DG_41:3_[M+H-H2O]1+" 671.5973 0 0 0 0 +"PS_26:1_[M+Na]1+" 672.3847 0 0 0 0 +"LPI_22:1_[M+NH4]1+" 672.4082 0 0 0 0 +"PE_31:3_[M+H]1+ / PA_33:4_[M+NH4]1+" 672.4599 0 0 0 0 +"DG_39:6_[M+NH4]1+" 672.5562 0 0 0 0 +"PG_27:1_[M+Na]1+" 673.4051 0 0 0 0 +"PG-P_28:0_[M+Na]1+" 673.4415 0 0 0 0 +"DG_42:9_[M+H-H2O]1+" 673.519 0 0 0 0 +"SM_32:2_[M+H]1+" 673.5279 0 0 0 0 +"CE_18:1_[M+Na]1+" 673.5894 0 0 0 0 +"DG_41:2_[M+H-H2O]1+" 673.6129 0 0 0 0 +"PS_26:0_[M+Na]1+" 674.4004 0 0 0 0 +"LPI_22:0_[M+NH4]1+" 674.4239 0 0 0 0 +"PC_28:2_[M+H]1+ / PE_31:2_[M+H]1+ / PA_33:3_[M+NH4]1+" 674.4755 0 0 0 0 +"PE-P_32:1_[M+H]1+" 674.5119 0 0 0 0 +"DG_39:5_[M+NH4]1+" 674.5718 0 0 0 0 +"LPI_22:2_[M+Na]1+" 675.348 0 0 0 0 +"PA_33:5_[M+Na]1+" 675.3996 0 0 0 0 +"PG_27:0_[M+Na]1+" 675.4208 0 0 0 0 +"PG-O_28:0_[M+Na]1+" 675.4571 0 0 0 0 +"DG_42:8_[M+H-H2O]1+" 675.5347 0 0 0 0 +"SM_32:1_[M+H]1+" 675.5436 0 0 0 0 +"TG_37:0_[M+Na]1+" 675.5534 0 0 0 0 +"CE_18:0_[M+Na]1+" 675.6051 0 0 0 0 +"DG_41:1_[M+H-H2O]1+" 675.6286 0 0 0 0 +"2H-IS_CE_[M+NH4]1+" 675.681 0 0 0 0 +"PS_28:2_[M+H]1+" 676.4184 0 0 0 0 +"PC_28:1_[M+H]1+ / PE_31:1_[M+H]1+ / PA_33:2_[M+NH4]1+" 676.4912 0 0 0 0 +"PC-P_29:0_[M+H]1+ / PE-O_32:1_[M+H]1+" 676.5276 0 0 0 0 +"DG_39:4_[M+NH4]1+" 676.5875 0 0 0 0 +"Cer_44:2_[M+H]1+" 676.6602 0 0 0 0 +"2H-IS_CE_[M+NH4]1+" 676.6961 0 0 0 0 +"LPI_22:1_[M+Na]1+" 677.3636 0 0 0 0 +"PA_33:4_[M+Na]1+" 677.4153 0 0 0 0 +"PG_29:2_[M+H]1+" 677.4388 0 0 0 0 +"PG-P_30:1_[M+H]1+" 677.4752 0 0 0 0 +"DG_42:7_[M+H-H2O]1+" 677.5503 0 0 0 0 +"SM_32:0_[M+H]1+" 677.5592 0 0 0 0 +"DG_41:0_[M+H-H2O]1+" 677.6442 0 0 0 0 +"2H-IS_CE_[M+NH4]1+" 677.6896 0 0 0 0 +"PS_28:1_[M+H]1+" 678.4341 0 0 0 0 +"PS-P_29:0_[M+H]1+" 678.4704 0 0 0 0 +"PC_28:0_[M+H]1+ / PE_31:0_[M+H]1+ / PA_33:1_[M+NH4]1+" 678.5068 0 0 0 0 +"DG_40:10_[M+NH4]1+" 678.5092 0 0 0 0 +"PC-O_29:0_[M+H]1+ / PE-O_32:0_[M+H]1+" 678.5432 0 0 0 0 +"PE-2O_33:0_[M+H]1+" 678.5796 0 0 0 0 +"DG_39:3_[M+NH4]1+" 678.6031 0 0 0 0 +"Cer_44:1_[M+H]1+" 678.6759 0 0 0 0 +"2H-IS_CE_[M+NH4]1+" 678.6934 0 0 0 0 +"LPI_22:0_[M+Na]1+" 679.3793 0 0 0 0 +"PA_33:3_[M+Na]1+" 679.4309 0 0 0 0 +"PG_29:1_[M+H]1+" 679.4545 0 0 0 0 +"PG-O_30:1_[M+H]1+" 679.4908 0 0 0 0 +"DG_42:6_[M+H-H2O]1+" 679.566 0 0 0 0 +"PS_28:0_[M+H]1+ / PG_28:2_[M+NH4]1+" 680.4497 0 0 0 0 +"PS-O_29:0_[M+H]1+" 680.4861 0 0 0 0 +"PA_33:0_[M+NH4]1+" 680.5225 0 0 0 0 +"DG_40:9_[M+NH4]1+" 680.5249 0 0 0 0 +"DG_39:2_[M+NH4]1+" 680.6188 0 0 0 0 +"PA_33:2_[M+Na]1+" 681.4466 0 0 0 0 +"PG_29:0_[M+H]1+" 681.4701 0 0 0 0 +"PG-O_30:0_[M+H]1+" 681.5065 0 0 0 0 +"DG_42:5_[M+H-H2O]1+" 681.5816 0 0 0 0 +"PE_32:5_[M+H]1+ / PA_34:6_[M+NH4]1+" 682.4442 0 0 0 0 +"PG_28:1_[M+NH4]1+" 682.4654 0 0 0 0 +"PG-P_29:0_[M+NH4]1+" 682.5017 0 0 0 0 +"DG_40:8_[M+NH4]1+" 682.5405 0 0 0 0 +"TG_38:1_[M+NH4]1+" 682.598 0 0 0 0 +"DG_39:1_[M+NH4]1+" 682.6344 0 0 0 0 +"PA_33:1_[M+Na]1+" 683.4622 0 0 0 0 +"DG_42:4_[M+H-H2O]1+" 683.5973 0 0 0 0 +"PE_32:4_[M+H]1+ / PA_34:5_[M+NH4]1+" 684.4599 0 0 0 0 +"PG_28:0_[M+NH4]1+" 684.481 0 0 0 0 +"PG-O_29:0_[M+NH4]1+" 684.5174 0 0 0 0 +"DG_40:7_[M+NH4]1+" 684.5562 0 0 0 0 +"TG_38:0_[M+NH4]1+" 684.6137 0 0 0 0 +"DG_39:0_[M+NH4]1+" 684.6501 0 0 0 0 +"CE_19:0_[M+NH4]1+" 684.6653 0 0 0 0 +"PG_28:2_[M+Na]1+" 685.4051 0 0 0 0 +"PA_33:0_[M+Na]1+" 685.4779 0 0 0 0 +"DG_42:3_[M+H-H2O]1+" 685.6129 0 0 0 0 +"PS_27:1_[M+Na]1+" 686.4004 0 0 0 0 +"PS-P_28:0_[M+Na]1+" 686.4367 0 0 0 0 +"PE_32:3_[M+H]1+ / PA_34:4_[M+NH4]1+" 686.4755 0 0 0 0 +"PE-P_33:2_[M+H]1+" 686.5119 0 0 0 0 +"DG_40:6_[M+NH4]1+" 686.5718 0 0 0 0 +"PA_34:6_[M+Na]1+" 687.3996 0 0 0 0 +"PG_28:1_[M+Na]1+" 687.4208 0 0 0 0 +"PG_30:4_[M+H]1+" 687.4232 0 0 0 0 +"PG-P_29:0_[M+Na]1+" 687.4571 0 0 0 0 +"SM_33:2_[M+H]1+" 687.5436 0 0 0 0 +"TG_38:1_[M+Na]1+" 687.5534 0 0 0 0 +"DG_42:2_[M+H-H2O]1+" 687.6286 0 0 0 0 +"PS_27:0_[M+Na]1+" 688.416 0 0 0 0 +"PS-O_29:1_[M+Na]1+" 688.4524 0 0 0 0 +"PC_29:2_[M+H]1+ / PE_32:2_[M+H]1+ / PA_34:3_[M+NH4]1+" 688.4912 0 0 0 0 +"PC-P_30:1_[M+H]1+ / PE-O_33:2_[M+H]1+" 688.5276 0 0 0 0 +"DG_40:5_[M+NH4]1+" 688.5875 0 0 0 0 +"CE_20:5_[M+NH4]1+" 688.6027 0 0 0 0 +"PA_34:5_[M+Na]1+" 689.4153 0 0 0 0 +"PG_28:0_[M+Na]1+" 689.4364 0 0 0 0 +"PG_30:3_[M+H]1+" 689.4388 0 0 0 0 +"PG-O_29:0_[M+Na]1+" 689.4728 0 0 0 0 +"SM_33:1_[M+H]1+" 689.5592 0 0 0 0 +"TG_38:0_[M+Na]1+" 689.5691 0 0 0 0 +"CE_19:0_[M+Na]1+" 689.6207 0 0 0 0 +"DG_42:1_[M+H-H2O]1+" 689.6442 0 0 0 0 +"PS_29:2_[M+H]1+" 690.4341 0 0 0 0 +"PS-P_30:1_[M+H]1+" 690.4704 0 0 0 0 +"PC_29:1_[M+H]1+ / PE_32:1_[M+H]1+ / PA_34:2_[M+NH4]1+" 690.5068 0 0 0 0 +"PC-O-30:1_[M+H]1+ / PE-O_33:1_[M+H]1+" 690.5432 0 0 0 0 +"DG_40:4_[M+NH4]1+" 690.6031 0 0 0 0 +"CE_20:4_[M+NH4]1+" 690.6184 0 0 0 0 +"PA_34:4_[M+Na]1+" 691.4309 0 0 0 0 +"PG_30:2_[M+H]1+" 691.4545 0 0 0 0 +"PG-P_31:1_[M+H]1+" 691.4908 0 0 0 0 +"SM_33:0_[M+H]1+" 691.5749 0 0 0 0 +"DG_42:0_[M+H-H2O]1+" 691.6599 0 0 0 0 +"PS_29:1_[M+H]1+" 692.4497 0 0 0 0 +"PS-O_30:1_[M+H]1+" 692.4861 0 0 0 0 +"PC_29:0_[M+H]1+ / PE_32:0_[M+H]1+ / PA_34:1_[M+NH4]1+" 692.5225 0 0 0 0 +"PC-O-30:0_[M+H]1+ / PE-O_33:0_[M+H]1+" 692.5589 0 0 0 0 +"DG_40:3_[M+NH4]1+" 692.6188 0 0 0 0 +"CE_20:3_[M+NH4]1+" 692.634 0 0 0 0 +"PA_34:3_[M+Na]1+" 693.4466 0 0 0 0 +"PG_30:1_[M+H]1+" 693.4701 0 0 0 0 +"PG-O_31:1_[M+H]1+" 693.5065 0 0 0 0 +"CE_20:5_[M+Na]1+" 693.5581 0 0 0 0 +"DG_43:6_[M+H-H2O]1+" 693.5816 0 0 0 0 +"PS_29:0_[M+H]1+ / PG_29:2_[M+NH4]1+" 694.4654 0 0 0 0 +"PS-O_30:0_[M+H]1+ / PG-P_30:1_[M+NH4]1+" 694.5017 0 0 0 0 +"PA_34:0_[M+NH4]1+" 694.5381 0 0 0 0 +"DG_40:2_[M+NH4]1+" 694.6344 0 0 0 0 +"CE_20:2_[M+NH4]1+" 694.6497 0 0 0 0 +"PA_34:2_[M+Na]1+" 695.4622 0 0 0 0 +"PG_30:0_[M+H]1+" 695.4858 0 0 0 0 +"DG_44:12_[M+H-H2O]1+" 695.5034 0 0 0 0 +"PG-O_31:0_[M+H]1+" 695.5221 0 0 0 0 +"CE_20:4_[M+Na]1+" 695.5738 0 0 0 0 +"DG_43:5_[M+H-H2O]1+" 695.5973 0 0 0 0 +"PE_33:5_[M+H]1+ / PA_35:6_[M+NH4]1+" 696.4599 0 0 0 0 +"PG_29:1_[M+NH4]1+" 696.481 0 0 0 0 +"PE-P_34:4_[M+H]1+" 696.4963 0 0 0 0 +"PG-O_30:1_[M+NH4]1+" 696.5174 0 0 0 0 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+"PS-P_29:0_[M+Na]1+" 700.4524 0 0 0 0 +"PC_30:3_[M+H]1+ / PE_33:3_[M+H]1+ / PA_35:4_[M+NH4]1+" 700.4912 0 0 0 0 +"PE-O_34:3_[M+H]1+" 700.5276 0 0 0 0 +"DG_41:6_[M+NH4]1+" 700.5875 0 0 0 0 +"PA_35:6_[M+Na]1+" 701.4153 0 0 0 0 +"PG_29:1_[M+Na]1+" 701.4364 0 0 0 0 +"PG_31:4_[M+H]1+" 701.4388 0 0 0 0 +"PG-O_30:1_[M+Na]1+" 701.4728 0 0 0 0 +"DG_44:9_[M+H-H2O]1+" 701.5503 0 0 0 0 +"SM_34:2_[M+H]1+" 701.5592 0 0 0 0 +"TG_39:1_[M+Na]1+" 701.5691 0 0 0 0 +"CE_20:1_[M+Na]1+" 701.6207 0 0 0 0 +"DG_43:2_[M+H-H2O]1+" 701.6442 0 0 0 0 +"PS_28:0_[M+Na]1+" 702.4317 0 0 0 0 +"PS_30:3_[M+H]1+" 702.4341 0 0 0 0 +"PS-O_29:0_[M+Na]1+" 702.468 0 0 0 0 +"PC_30:2_[M+H]1+ / PE_33:2_[M+H]1+ / PA_35:3_[M+NH4]1+" 702.5068 0 0 0 0 +"PC-P_31:1_[M+H]1+ / PE-O_34:2_[M+H]1+" 702.5432 0 0 0 0 +"DG_41:5_[M+NH4]1+" 702.6031 0 0 0 0 +"PA_35:5_[M+Na]1+" 703.4309 0 0 0 0 +"PG_29:0_[M+Na]1+" 703.4521 0 0 0 0 +"PG_31:3_[M+H]1+" 703.4545 0 0 0 0 +"PG-O_30:0_[M+Na]1+" 703.4884 0 0 0 0 +"DG_44:8_[M+H-H2O]1+" 703.566 0 0 0 0 +"SM_34:1_[M+H]1+" 703.5749 0 0 0 0 +"TG_39:0_[M+Na]1+" 703.5847 0 0 0 0 +"CE_20:0_[M+Na]1+" 703.6364 0 0 0 0 +"DG_43:1_[M+H-H2O]1+" 703.6599 0 0 0 0 +"PS_30:2_[M+H]1+ / PG_30:4_[M+NH4]1+" 704.4497 0 0 0 0 +"PS-P_31:1_[M+H]1+" 704.4861 0 0 0 0 +"PC_30:1_[M+H]1+ / PE_33:1_[M+H]1+ / PA_35:2_[M+NH4]1+" 704.5225 0 0 0 0 +"DG_42:11_[M+NH4]1+" 704.5249 0 0 0 0 +"PC-O-31:1_[M+H]1+ / PE-O_34:1_[M+H]1+" 704.5589 0 0 0 0 +"DG_41:4_[M+NH4]1+" 704.6188 0 0 0 0 +"PA_35:4_[M+Na]1+" 705.4466 0 0 0 0 +"PG_31:2_[M+H]1+" 705.4701 0 0 0 0 +"PG-P_32:1_[M+H]1+" 705.5065 0 0 0 0 +"DG_44:7_[M+H-H2O]1+" 705.5816 0 0 0 0 +"SM_34:0_[M+H]1+" 705.5905 0 0 0 0 +"DG_43:0_[M+H-H2O]1+" 705.6755 0 0 0 0 +"PA_36:8_[M+NH4]1+" 706.4442 0 0 0 0 +"PS_30:1_[M+H]1+ / PG_30:3_[M+NH4]1+" 706.4654 0 0 0 0 +"PS-O_31:1_[M+H]1+" 706.5017 0 0 0 0 +"PC_30:0_[M+H]1+ / PE_33:0_[M+H]1+ / PA_35:1_[M+NH4]1+" 706.5381 0 0 0 0 +"DG_42:10_[M+NH4]1+" 706.5405 0 0 0 0 +"PC-O-31:0_[M+H]1+ / PE-O_34:0_[M+H]1+" 706.5745 0 0 0 0 +"PC-2O_32:0_[M+H]1+" 706.6109 0 0 0 0 +"DG_41:3_[M+NH4]1+" 706.6344 0 0 0 0 +"PA_35:3_[M+Na]1+" 707.4622 0 0 0 0 +"PG_31:1_[M+H]1+" 707.4858 0 0 0 0 +"PG-O_32:1_[M+H]1+" 707.5221 0 0 0 0 +"DG_44:6_[M+H-H2O]1+" 707.5973 0 0 0 0 +"PE_34:6_[M+H]1+ / PA_36:7_[M+NH4]1+" 708.4599 0 0 0 0 +"PS_30:0_[M+H]1+ / PG_30:2_[M+NH4]1+" 708.481 0 0 0 0 +"PS-O_31:0_[M+H]1+ / PG-P_31:1_[M+NH4]1+" 708.5174 0 0 0 0 +"PA_35:0_[M+NH4]1+" 708.5538 0 0 0 0 +"DG_42:9_[M+NH4]1+" 708.5562 0 0 0 0 +"TG_40:2_[M+NH4]1+" 708.6137 0 0 0 0 +"DG_41:2_[M+NH4]1+" 708.6501 0 0 0 0 +"PG_30:4_[M+Na]1+" 709.4051 0 0 0 0 +"PA_35:2_[M+Na]1+" 709.4779 0 0 0 0 +"PG_31:0_[M+H]1+" 709.5014 0 0 0 0 +"PG-O_32:0_[M+H]1+" 709.5378 0 0 0 0 +"DG_44:5_[M+H-H2O]1+" 709.6129 0 0 0 0 +"PE_34:5_[M+H]1+ / PA_36:6_[M+NH4]1+" 710.4755 0 0 0 0 +"PG_30:1_[M+NH4]1+" 710.4967 0 0 0 0 +"PG-O_31:1_[M+NH4]1+" 710.533 0 0 0 0 +"DG_42:8_[M+NH4]1+" 710.5718 0 0 0 0 +"TG_40:1_[M+NH4]1+" 710.6293 0 0 0 0 +"DG_41:1_[M+NH4]1+" 710.6657 0 0 0 0 +"PA_36:8_[M+Na]1+" 711.3996 0 0 0 0 +"PG_30:3_[M+Na]1+" 711.4208 0 0 0 0 +"PA_35:1_[M+Na]1+" 711.4935 0 0 0 0 +"DG_44:4_[M+H-H2O]1+" 711.6286 0 0 0 0 +"PS_29:2_[M+Na]1+" 712.416 0 0 0 0 +"PS-P_30:1_[M+Na]1+" 712.4524 0 0 0 0 +"PC_31:4_[M+H]1+ / PE_34:4_[M+H]1+ / PA_36:5_[M+NH4]1+" 712.4912 0 0 0 0 +"PG_30:0_[M+NH4]1+" 712.5123 0 0 0 0 +"PG-O_31:0_[M+NH4]1+" 712.5487 0 0 0 0 +"DG_42:7_[M+NH4]1+" 712.5875 0 0 0 0 +"TG_40:0_[M+NH4]1+" 712.645 0 0 0 0 +"DG_41:0_[M+NH4]1+" 712.6814 0 0 0 0 +"PA_36:7_[M+Na]1+" 713.4153 0 0 0 0 +"PI_25:0_[M+H]1+" 713.4236 0 0 0 0 +"PG_30:2_[M+Na]1+" 713.4364 0 0 0 0 +"PG_32:5_[M+H]1+" 713.4388 0 0 0 0 +"PG-P_31:1_[M+Na]1+" 713.4728 0 0 0 0 +"PA_35:0_[M+Na]1+" 713.5092 0 0 0 0 +"TG_40:2_[M+Na]1+" 713.5691 0 0 0 0 +"DG_44:3_[M+H-H2O]1+" 713.6442 0 0 0 0 +"PS_29:1_[M+Na]1+" 714.4317 0 0 0 0 +"PS_31:4_[M+H]1+" 714.4341 0 0 0 0 +"PS-O_30:1_[M+Na]1+" 714.468 0 0 0 0 +"PC_31:3_[M+H]1+ / PE_34:3_[M+H]1+ / PA_36:4_[M+NH4]1+" 714.5068 0 0 0 0 +"PC-O_32:3_[M+H]1+ / PE-P_35:2_[M+H]1+" 714.5432 0 0 0 0 +"DG_42:6_[M+NH4]1+" 714.6031 0 0 0 0 +"CE_22:6_[M+NH4]1+" 714.6184 0 0 0 0 +"PA_36:6_[M+Na]1+" 715.4309 0 0 0 0 +"PG_30:1_[M+Na]1+" 715.4521 0 0 0 0 +"PG_32:4_[M+H]1+" 715.4545 0 0 0 0 +"PG-O_31:1_[M+Na]1+" 715.4884 0 0 0 0 +"TG_40:1_[M+Na]1+" 715.5847 0 0 0 0 +"DG_44:2_[M+H-H2O]1+" 715.6599 0 0 0 0 +"PI_24:0_[M+NH4]1+" 716.4345 0 0 0 0 +"PS_29:0_[M+Na]1+" 716.4473 0 0 0 0 +"PS_31:3_[M+H]1+" 716.4497 0 0 0 0 +"PS-O_30:0_[M+Na]1+" 716.4837 0 0 0 0 +"PC_31:2_[M+H]1+ / PE_34:2_[M+H]1+ / PA_36:3_[M+NH4]1+" 716.5225 0 0 0 0 +"PC-O_32:2_[M+H]1+ / PE-O_35:2_[M+H]1+" 716.5589 0 0 0 0 +"DG_42:5_[M+NH4]1+" 716.6188 0 0 0 0 +"CE_22:5_[M+NH4]1+" 716.634 0 0 0 0 +"PA_36:5_[M+Na]1+" 717.4466 0 0 0 0 +"PG_30:0_[M+Na]1+" 717.4677 0 0 0 0 +"PG_32:3_[M+H]1+" 717.4701 0 0 0 0 +"PG-O_31:0_[M+Na]1+" 717.5041 0 0 0 0 +"PG-P_33:2_[M+H]1+" 717.5065 0 0 0 0 +"SM_35:1_[M+H]1+" 717.5905 0 0 0 0 +"TG_40:0_[M+Na]1+" 717.6004 0 0 0 0 +"DG_44:1_[M+H-H2O]1+" 717.6755 0 0 0 0 +"PS_31:2_[M+H]1+ / PG_31:4_[M+NH4]1+" 718.4654 0 0 0 0 +"PS-P_32:1_[M+H]1+" 718.5017 0 0 0 0 +"PC_31:1_[M+H]1+ / PE_34:1_[M+H]1+ / PA_36:2_[M+NH4]1+" 718.5381 0 0 0 0 +"PC-O_32:1_[M+H]1+ / PE-O_35:1_[M+H]1+" 718.5745 0 0 0 0 +"DG_42:4_[M+NH4]1+" 718.6344 0 0 0 0 +"CE_22:4_[M+NH4]1+" 718.6497 0 0 0 0 +"PA_36:4_[M+Na]1+" 719.4622 0 0 0 0 +"PG_32:2_[M+H]1+" 719.4858 0 0 0 0 +"PG-O_33:2_[M+H]1+" 719.5221 0 0 0 0 +"CE_22:6_[M+Na]1+" 719.5738 0 0 0 0 +"SM_35:0_[M+H]1+" 719.6062 0 0 0 0 +"DG_44:0_[M+H-H2O]1+" 719.6912 0 0 0 0 +"PS_31:1_[M+H]1+ / PG_31:3_[M+NH4]1+" 720.481 0 0 0 0 +"PS-O_32:1_[M+H]1+" 720.5174 0 0 0 0 +"PC_31:0_[M+H]1+ / PE_34:0_[M+H]1+ / PA_36:1_[M+NH4]1+" 720.5538 0 0 0 0 +"PC-O_32:0_[M+H]1+ / PE-O_35:0_[M+H]1+" 720.5902 0 0 0 0 +"PE-2O_36:0_[M+H]1+" 720.6266 0 0 0 0 +"DG_42:3_[M+NH4]1+" 720.6501 0 0 0 0 +"CE_22:3_[M+NH4]1+" 720.6653 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 720.6982 0 0 0 0 +"PI_24:0_[M+Na]1+" 721.3899 0 0 0 0 +"PA_36:3_[M+Na]1+" 721.4779 0 0 0 0 +"PG_32:1_[M+H]1+" 721.5014 0 0 0 0 +"PG-O_33:1_[M+H]1+" 721.5378 0 0 0 0 +"CE_22:5_[M+Na]1+" 721.5894 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 721.7042 0 0 0 0 +"PS_30:4_[M+Na]1+" 722.4004 0 0 0 0 +"PE_35:6_[M+H]1+ / PA_37:7_[M+NH4]1+" 722.4755 0 0 0 0 +"PS_31:0_[M+H]1+ / PG_31:2_[M+NH4]1+" 722.4967 0 0 0 0 +"PE-P_36:5_[M+H]1+" 722.5119 0 0 0 0 +"PS-O_32:0_[M+H]1+ / PG-P_32:1_[M+NH4]1+" 722.533 0 0 0 0 +"PA_36:0_[M+NH4]1+" 722.5694 0 0 0 0 +"TG_41:2_[M+NH4]1+" 722.6293 0 0 0 0 +"DG_42:2_[M+NH4]1+" 722.6657 0 0 0 0 +"CE_22:2_[M+NH4]1+" 722.681 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 722.7096 0 0 0 0 +"PG_31:4_[M+Na]1+" 723.4208 0 0 0 0 +"PA_36:2_[M+Na]1+" 723.4935 0 0 0 0 +"PG_32:0_[M+H]1+" 723.5171 0 0 0 0 +"PG-O_33:0_[M+H]1+" 723.5534 0 0 0 0 +"CE_22:4_[M+Na]1+" 723.6051 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 723.715 0 0 0 0 +"PS_30:3_[M+Na]1+" 724.416 0 0 0 0 +"PC_32:5_[M+H]1+ / PE_35:5_[M+H]1+ / PA_37:6_[M+NH4]1+" 724.4912 0 0 0 0 +"PG_31:1_[M+NH4]1+" 724.5123 0 0 0 0 +"PE-O_36:5_[M+H]1+" 724.5276 0 0 0 0 +"PG-O_32:1_[M+NH4]1+" 724.5487 0 0 0 0 +"TG_41:1_[M+NH4]1+" 724.645 0 0 0 0 +"DG_42:1_[M+NH4]1+" 724.6814 0 0 0 0 +"CE_22:1_[M+NH4]1+" 724.6966 0 0 0 0 +"2H-IS_PA_[M+NH4]1+" 724.7197 0 0 0 0 +"PI_26:1_[M+H]1+" 725.4236 0 0 0 0 +"PG_31:3_[M+Na]1+" 725.4364 0 0 0 0 +"PA_36:1_[M+Na]1+" 725.5092 0 0 0 0 +"CE_22:3_[M+Na]1+" 725.6207 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 725.6534 0 0 0 0 +"PS_30:2_[M+Na]1+" 726.4317 0 0 0 0 +"PS_32:5_[M+H]1+" 726.4341 0 0 0 0 +"PS-P_31:1_[M+Na]1+" 726.468 0 0 0 0 +"PC_32:4_[M+H]1+ / PE_35:4_[M+H]1+ / PA_37:5_[M+NH4]1+" 726.5068 0 0 0 0 +"PG_31:0_[M+NH4]1+" 726.528 0 0 0 0 +"PE-O_36:4_[M+H]1+" 726.5432 0 0 0 0 +"PG-O_32:0_[M+NH4]1+" 726.5643 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 726.6596 0 0 0 0 +"TG_41:0_[M+NH4]1+" 726.6606 0 0 0 0 +"DG_42:0_[M+NH4]1+" 726.697 0 0 0 0 +"CE_22:0_[M+NH4]1+" 726.7123 0 0 0 0 +"PA_37:7_[M+Na]1+" 727.4309 0 0 0 0 +"PI_26:0_[M+H]1+" 727.4392 0 0 0 0 +"PG_31:2_[M+Na]1+" 727.4521 0 0 0 0 +"PG_33:5_[M+H]1+" 727.4545 0 0 0 0 +"PG-P_32:1_[M+Na]1+" 727.4884 0 0 0 0 +"PG-P_34:4_[M+H]1+" 727.4908 0 0 0 0 +"PA_36:0_[M+Na]1+" 727.5248 0 0 0 0 +"SM_36:3_[M+H]1+" 727.5749 0 0 0 0 +"TG_41:2_[M+Na]1+" 727.5847 0 0 0 0 +"CE_22:2_[M+Na]1+" 727.6364 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 727.6654 0 0 0 0 +"PS_30:1_[M+Na]1+" 728.4473 0 0 0 0 +"PS_32:4_[M+H]1+" 728.4497 0 0 0 0 +"PS-O_31:1_[M+Na]1+" 728.4837 0 0 0 0 +"PC_32:3_[M+H]1+ / PE_35:3_[M+H]1+ / PA_37:4_[M+NH4]1+" 728.5225 0 0 0 0 +"PC-P_33:2_[M+H]1+ / PE-O_36:3_[M+H]1+" 728.5589 0 0 0 0 +"DG_43:6_[M+NH4]1+" 728.6188 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 728.6711 0 0 0 0 +"2H-IS_PS_[M+H]1+" 728.7509 0 0 0 0 +"PA_37:6_[M+Na]1+" 729.4466 0 0 0 0 +"PG_31:1_[M+Na]1+" 729.4677 0 0 0 0 +"PG_33:4_[M+H]1+" 729.4701 0 0 0 0 +"PG-O_32:1_[M+Na]1+" 729.5041 0 0 0 0 +"PG-O_34:4_[M+H]1+" 729.5065 0 0 0 0 +"SM_36:2_[M+H]1+" 729.5905 0 0 0 0 +"TG_41:1_[M+Na]1+" 729.6004 0 0 0 0 +"CE_22:1_[M+Na]1+" 729.652 0 0 0 0 +"2H-IS_PA_[M+Na]1+" 729.6752 0 0 0 0 +"2H-IS_PS_[M+H]1+" 729.7572 0 0 0 0 +"PI_25:0_[M+NH4]1+" 730.4501 0 0 0 0 +"PS_30:0_[M+Na]1+" 730.463 0 0 0 0 +"PS_32:3_[M+H]1+ / PG_32:5_[M+NH4]1+" 730.4654 0 0 0 0 +"PS-O_31:0_[M+Na]1+" 730.4993 0 0 0 0 +"PS-P_33:2_[M+H]1+" 730.5017 0 0 0 0 +"PC_32:2_[M+H]1+ / PE_35:2_[M+H]1+ / PA_37:3_[M+NH4]1+" 730.5381 0 0 0 0 +"DG_44:12_[M+NH4]1+" 730.5405 0 0 0 0 +"PC-O_33:2_[M+H]1+ / PE-O_36:2_[M+H]1+" 730.5745 0 0 0 0 +"DG_43:5_[M+NH4]1+" 730.6344 0 0 0 0 +"2H-IS_PS_[M+H]1+" 730.7633 0 0 0 0 +"PA_37:5_[M+Na]1+" 731.4622 0 0 0 0 +"PG_31:0_[M+Na]1+" 731.4834 0 0 0 0 +"PG_33:3_[M+H]1+" 731.4858 0 0 0 0 +"PG-O_32:0_[M+Na]1+" 731.5197 0 0 0 0 +"PG-O_34:3_[M+H]1+" 731.5221 0 0 0 0 +"SM_36:1_[M+H]1+" 731.6062 0 0 0 0 +"TG_41:0_[M+Na]1+" 731.616 0 0 0 0 +"CE_22:0_[M+Na]1+" 731.6677 0 0 0 0 +"2H-IS_PS_[M+H]1+" 731.769 0 0 0 0 +"PE_36:8_[M+H]1+ / PA_38:9_[M+NH4]1+" 732.4599 0 0 0 0 +"PS_32:2_[M+H]1+ / PG_32:4_[M+NH4]1+" 732.481 0 0 0 0 +"PS-O_33:2_[M+H]1+" 732.5174 0 0 0 0 +"PC_32:1_[M+H]1+ / PE_35:1_[M+H]1+ / PA_37:2_[M+NH4]1+" 732.5538 0 0 0 0 +"DG_44:11_[M+NH4]1+" 732.5562 0 0 0 0 +"PC-O_33:1_[M+H]1+ / PE-O_36:1_[M+H]1+" 732.5902 0 0 0 0 +"TG_42:4_[M+NH4]1+" 732.6137 0 0 0 0 +"PC-2O_34:1_[M+H]1+" 732.6266 0 0 0 0 +"DG_43:4_[M+NH4]1+" 732.6501 0 0 0 0 +"2H-IS_SM_[M+H]1+" 732.7559 0 0 0 0 +"2H-IS_PS_[M+H]1+" 732.7748 0 0 0 0 +"PA_37:4_[M+Na]1+" 733.4779 0 0 0 0 +"PG_33:2_[M+H]1+" 733.5014 0 0 0 0 +"PG-O_34:2_[M+H]1+" 733.5378 0 0 0 0 +"SM_36:0_[M+H]1+" 733.6218 0 0 0 0 +"2H-IS_SM_[M+H]1+" 733.7618 0 0 0 0 +"2H-IS_PS_[M+H]1+" 733.7808 0 0 0 0 +"PE_36:7_[M+H]1+ / PA_38:8_[M+NH4]1+" 734.4755 0 0 0 0 +"PS_32:1_[M+H]1+ / PG_32:3_[M+NH4]1+" 734.4967 0 0 0 0 +"PS-O_33:1_[M+H]1+ / PG-P_33:2_[M+NH4]1+" 734.533 0 0 0 0 +"PC_32:0_[M+H]1+ / PE_35:0_[M+H]1+ / PA_37:1_[M+NH4]1+" 734.5694 0 0 0 0 +"DG_44:10_[M+NH4]1+" 734.5718 0 0 0 0 +"PC-O_33:0_[M+H]1+ / PE-O_36:0_[M+H]1+" 734.6058 0 0 0 0 +"TG_42:3_[M+NH4]1+" 734.6293 0 0 0 0 +"PC-2O_34:0_[M+H]1+" 734.6422 0 0 0 0 +"DG_43:3_[M+NH4]1+" 734.6657 0 0 0 0 +"2H-IS_SM_[M+H]1+" 734.7676 0 0 0 0 +"2H-IS_PS_[M+H]1+" 734.7867 0 0 0 0 +"PI_25:0_[M+Na]1+" 735.4055 0 0 0 0 +"PG_32:5_[M+Na]1+" 735.4208 0 0 0 0 +"PA_37:3_[M+Na]1+" 735.4935 0 0 0 0 +"PG_33:1_[M+H]1+" 735.5171 0 0 0 0 +"PG-O_34:1_[M+H]1+" 735.5534 0 0 0 0 +"2H-IS_SM_[M+H]1+" 735.771 0 0 0 0 +"2H-IS_PS_[M+H]1+" 735.7914 0 0 0 0 +"PS_31:4_[M+Na]1+" 736.416 0 0 0 0 +"PE_36:6_[M+H]1+ / PA_38:7_[M+NH4]1+" 736.4912 0 0 0 0 +"PS_32:0_[M+H]1+ / PG_32:2_[M+NH4]1+" 736.5123 0 0 0 0 +"PS-O_33:0_[M+H]1+ / PG-O_33:2_[M+NH4]1+" 736.5487 0 0 0 0 +"PA_37:0_[M+NH4]1+" 736.5851 0 0 0 0 +"DG_44:9_[M+NH4]1+" 736.5875 0 0 0 0 +"TG_42:2_[M+NH4]1+" 736.645 0 0 0 0 +"DG_43:2_[M+NH4]1+" 736.6814 0 0 0 0 +"2H-IS_SM_[M+H]1+" 736.7744 0 0 0 0 +"2H-IS_PS_[M+H]1+" 736.7947 0 0 0 0 +"PA_38:9_[M+Na]1+" 737.4153 0 0 0 0 +"PG_32:4_[M+Na]1+" 737.4364 0 0 0 0 +"PA_37:2_[M+Na]1+" 737.5092 0 0 0 0 +"PG_33:0_[M+H]1+" 737.5327 0 0 0 0 +"PG-O_34:0_[M+H]1+ / TG_42:4_[M+Na]1+" 737.5691 0 0 0 0 +"PS_31:3_[M+Na]1+" 738.4317 0 0 0 0 +"PC_33:5_[M+H]1+ / PE_36:5_[M+H]1+ / PA_38:6_[M+NH4]1+" 738.5068 0 0 0 0 +"PG_32:1_[M+NH4]1+" 738.528 0 0 0 0 +"PC-P_34:4_[M+H]1+" 738.5432 0 0 0 0 +"PG-O_33:1_[M+NH4]1+" 738.5643 0 0 0 0 +"DG_44:8_[M+NH4]1+" 738.6031 0 0 0 0 +"TG_42:1_[M+NH4]1+" 738.6606 0 0 0 0 +"DG_43:1_[M+NH4]1+" 738.697 0 0 0 0 +"PA_38:8_[M+Na]1+" 739.4309 0 0 0 0 +"PI_27:1_[M+H]1+" 739.4392 0 0 0 0 +"PG_32:3_[M+Na]1+" 739.4521 0 0 0 0 +"PG_34:6_[M+H]1+" 739.4545 0 0 0 0 +"PI-P_28:0_[M+H]1+" 739.4756 0 0 0 0 +"PG-P_33:2_[M+Na]1+" 739.4884 0 0 0 0 +"PA_37:1_[M+Na]1+" 739.5248 0 0 0 0 +"TG_42:3_[M+Na]1+" 739.5847 0 0 0 0 +"PS_31:2_[M+Na]1+" 740.4473 0 0 0 0 +"PS_33:5_[M+H]1+" 740.4497 0 0 0 0 +"PS-P_32:1_[M+Na]1+" 740.4837 0 0 0 0 +"PS-P_34:4_[M+H]1+" 740.4861 0 0 0 0 +"PC_33:4_[M+H]1+ / PE_36:4_[M+H]1+ / PA_38:5_[M+NH4]1+" 740.5225 0 0 0 0 +"PG_32:0_[M+NH4]1+" 740.5436 0 0 0 0 +"PC-O_34:4_[M+H]1+" 740.5589 0 0 0 0 +"PG-O_33:0_[M+NH4]1+" 740.58 0 0 0 0 +"DG_44:7_[M+NH4]1+" 740.6188 0 0 0 0 +"TG_42:0_[M+NH4]1+" 740.6763 0 0 0 0 +"DG_43:0_[M+NH4]1+" 740.7127 0 0 0 0 +"PA_38:7_[M+Na]1+" 741.4466 0 0 0 0 +"PI_27:0_[M+H]1+" 741.4549 0 0 0 0 +"PG_32:2_[M+Na]1+" 741.4677 0 0 0 0 +"PG_34:5_[M+H]1+" 741.4701 0 0 0 0 +"PI-O_28:0_[M+H]1+" 741.4912 0 0 0 0 +"PG-O_33:2_[M+Na]1+" 741.5041 0 0 0 0 +"PA_37:0_[M+Na]1+" 741.5405 0 0 0 0 +"TG_42:2_[M+Na]1+" 741.6004 0 0 0 0 +"PI_26:1_[M+NH4]1+" 742.4501 0 0 0 0 +"PS_31:1_[M+Na]1+" 742.463 0 0 0 0 +"PS_33:4_[M+H]1+" 742.4654 0 0 0 0 +"PS-O_32:1_[M+Na]1+" 742.4993 0 0 0 0 +"PS-O_34:4_[M+H]1+" 742.5017 0 0 0 0 +"PC_33:3_[M+H]1+ / PE_36:3_[M+H]1+ / PA_38:4_[M+NH4]1+" 742.5381 0 0 0 0 +"PC-O_34:3_[M+H]1+ / PE-P_37:2_[M+H]1+" 742.5745 0 0 0 0 +"DG_44:6_[M+NH4]1+" 742.6344 0 0 0 0 +"PA_38:6_[M+Na]1+" 743.4622 0 0 0 0 +"PG_32:1_[M+Na]1+" 743.4834 0 0 0 0 +"PG_34:4_[M+H]1+" 743.4858 0 0 0 0 +"PG-O_33:1_[M+Na]1+" 743.5197 0 0 0 0 +"TG_42:1_[M+Na]1+" 743.616 0 0 0 0 +"PI_26:0_[M+NH4]1+" 744.4658 0 0 0 0 +"PS_31:0_[M+Na]1+" 744.4786 0 0 0 0 +"PS_33:3_[M+H]1+ / PG_33:5_[M+NH4]1+" 744.481 0 0 0 0 +"PS-O_32:0_[M+Na]1+" 744.515 0 0 0 0 +"PS-O_34:3_[M+H]1+ / PG-P_34:4_[M+NH4]1+" 744.5174 0 0 0 0 +"PC_33:2_[M+H]1+ / PE_36:2_[M+H]1+ / PA_38:3_[M+NH4]1+" 744.5538 0 0 0 0 +"PC-O_34:2_[M+H]1+ / PE-O_37:2_[M+H]1+" 744.5902 0 0 0 0 +"DG_44:5_[M+NH4]1+" 744.6501 0 0 0 0 +"PA_38:5_[M+Na]1+" 745.4779 0 0 0 0 +"PG_32:0_[M+Na]1+" 745.499 0 0 0 0 +"PG_34:3_[M+H]1+" 745.5014 0 0 0 0 +"PG-O_33:0_[M+Na]1+" 745.5354 0 0 0 0 +"PG-P_35:2_[M+H]1+" 745.5378 0 0 0 0 +"SM_37:1_[M+H]1+" 745.6218 0 0 0 0 +"TG_42:0_[M+Na]1+" 745.6317 0 0 0 0 +"2H-IS_PE_[M+H]1+" 745.7072 0 0 0 0 +"PS_33:2_[M+H]1+ / PG_33:4_[M+NH4]1+" 746.4967 0 0 0 0 +"PS-O_34:2_[M+H]1+ / PG-O_34:4_[M+NH4]1+" 746.533 0 0 0 0 +"PC_33:1_[M+H]1+ / PE_36:1_[M+H]1+ / PA_38:2_[M+NH4]1+" 746.5694 0 0 0 0 +"PC-O_34:1_[M+H]1+ / PE-O_37:1_[M+H]1+" 746.6058 0 0 0 0 +"TG_43:4_[M+NH4]1+" 746.6293 0 0 0 0 +"DG_44:4_[M+NH4]1+" 746.6657 0 0 0 0 +"2H-IS_PE_[M+H]1+" 746.7129 0 0 0 0 +"PI_26:1_[M+Na]1+" 747.4055 0 0 0 0 +"PA_38:4_[M+Na]1+" 747.4935 0 0 0 0 +"PG_34:2_[M+H]1+" 747.5171 0 0 0 0 +"PG-O_35:2_[M+H]1+" 747.5534 0 0 0 0 +"2H-IS_PE_[M+H]1+" 747.7188 0 0 0 0 +"PS_32:5_[M+Na]1+" 748.416 0 0 0 0 +"PE_37:7_[M+H]1+ / PA_39:8_[M+NH4]1+" 748.4912 0 0 0 0 +"PS_33:1_[M+H]1+ / PG_33:3_[M+NH4]1+" 748.5123 0 0 0 0 +"PE-P_38:6_[M+H]1+" 748.5276 0 0 0 0 +"PS-O_34:1_[M+H]1+ / PG-O_34:3_[M+NH4]1+" 748.5487 0 0 0 0 +"PC_33:0_[M+H]1+ / PE_36:0_[M+H]1+ / PA_38:1_[M+NH4]1+" 748.5851 0 0 0 0 +"PC-O_34:0_[M+H]1+ / PE-O_37:0_[M+H]1+" 748.6215 0 0 0 0 +"TG_43:3_[M+NH4]1+" 748.645 0 0 0 0 +"DG_44:3_[M+NH4]1+" 748.6814 0 0 0 0 +"2H-IS_PE_[M+H]1+" 748.7244 0 0 0 0 +"PI_26:0_[M+Na]1+" 749.4212 0 0 0 0 +"PG_33:5_[M+Na]1+" 749.4364 0 0 0 0 +"PG-P_34:4_[M+Na]1+" 749.4728 0 0 0 0 +"PA_38:3_[M+Na]1+" 749.5092 0 0 0 0 +"PG_34:1_[M+H]1+" 749.5327 0 0 0 0 +"PG-O_35:1_[M+H]1+" 749.5691 0 0 0 0 +"2H-IS_PE_[M+H]1+" 749.7297 0 0 0 0 +"PS_32:4_[M+Na]1+" 750.4317 0 0 0 0 +"PC_34:6_[M+H]1+ / PE_37:6_[M+H]1+ / PA_39:7_[M+NH4]1+" 750.5068 0 0 0 0 +"PS_33:0_[M+H]1+ / PG_33:2_[M+NH4]1+" 750.528 0 0 0 0 +"PE-O_38:6_[M+H]1+" 750.5432 0 0 0 0 +"PS-O_34:0_[M+H]1+ / PG-O_34:2_[M+NH4]1+" 750.5643 0 0 0 0 +"PA_38:0_[M+NH4]1+" 750.6007 0 0 0 0 +"TG_43:2_[M+NH4]1+" 750.6606 0 0 0 0 +"DG_44:2_[M+NH4]1+" 750.697 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 750.7329 0 0 0 0 +"2H-IS_PE_[M+H]1+" 750.734 0 0 0 0 +"PI_28:2_[M+H]1+" 751.4392 0 0 0 0 +"PG_33:4_[M+Na]1+" 751.4521 0 0 0 0 +"PG-O_34:4_[M+Na]1+" 751.4884 0 0 0 0 +"PA_38:2_[M+Na]1+" 751.5248 0 0 0 0 +"PG_34:0_[M+H]1+" 751.5484 0 0 0 0 +"PG-O_35:0_[M+H]1+ / TG_43:4_[M+Na]1+" 751.5847 0 0 0 0 +"2H-IS_PE_[M+H]1+" 751.7379 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 751.7389 0 0 0 0 +"PS_32:3_[M+Na]1+" 752.4473 0 0 0 0 +"PS_34:6_[M+H]1+" 752.4497 0 0 0 0 +"PS-P_33:2_[M+Na]1+" 752.4837 0 0 0 0 +"PC_34:5_[M+H]1+ / PE_37:5_[M+H]1+ / PA_39:6_[M+NH4]1+" 752.5225 0 0 0 0 +"PG_33:1_[M+NH4]1+" 752.5436 0 0 0 0 +"PE-O_38:5_[M+H]1+" 752.5589 0 0 0 0 +"PG-O_34:1_[M+NH4]1+" 752.58 0 0 0 0 +"TG_43:1_[M+NH4]1+" 752.6763 0 0 0 0 +"DG_44:1_[M+NH4]1+" 752.7127 0 0 0 0 +"CE_24:1_[M+NH4]1+" 752.7279 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 752.7451 0 0 0 0 +"PA_39:8_[M+Na]1+" 753.4466 0 0 0 0 +"PI_28:1_[M+H]1+" 753.4549 0 0 0 0 +"PG_33:3_[M+Na]1+" 753.4677 0 0 0 0 +"PG_35:6_[M+H]1+" 753.4701 0 0 0 0 +"PI-P_29:0_[M+H]1+" 753.4912 0 0 0 0 +"PG-O_34:3_[M+Na]1+" 753.5041 0 0 0 0 +"PG-P_36:5_[M+H]1+" 753.5065 0 0 0 0 +"PA_38:1_[M+Na]1+" 753.5405 0 0 0 0 +"TG_43:3_[M+Na]1+" 753.6004 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 753.7512 0 0 0 0 +"PS_32:2_[M+Na]1+" 754.463 0 0 0 0 +"PS_34:5_[M+H]1+" 754.4654 0 0 0 0 +"PS-O_33:2_[M+Na]1+" 754.4993 0 0 0 0 +"PC_34:4_[M+H]1+ / PE_37:4_[M+H]1+ / PA_39:5_[M+NH4]1+" 754.5381 0 0 0 0 +"PG_33:0_[M+NH4]1+" 754.5593 0 0 0 0 +"PC-O_35:4_[M+H]1+ / PE-O_38:4_[M+H]1+" 754.5745 0 0 0 0 +"PG-O_34:0_[M+NH4]1+" 754.5956 0 0 0 0 +"TG_43:0_[M+NH4]1+" 754.6919 0 0 0 0 +"DG_44:0_[M+NH4]1+" 754.7283 0 0 0 0 +"CE_24:0_[M+NH4]1+" 754.7436 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 754.7573 0 0 0 0 +"PA_39:7_[M+Na]1+" 755.4622 0 0 0 0 +"PI_28:0_[M+H]1+" 755.4705 0 0 0 0 +"PG_33:2_[M+Na]1+" 755.4834 0 0 0 0 +"PG_35:5_[M+H]1+" 755.4858 0 0 0 0 +"PI-O_29:0_[M+H]1+" 755.5069 0 0 0 0 +"PG-O_34:2_[M+Na]1+" 755.5197 0 0 0 0 +"PG-O_36:5_[M+H]1+" 755.5221 0 0 0 0 +"PA_38:0_[M+Na]1+" 755.5561 0 0 0 0 +"SM_38:3_[M+H]1+" 755.6062 0 0 0 0 +"TG_43:2_[M+Na]1+" 755.616 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 755.7635 0 0 0 0 +"PI_27:1_[M+NH4]1+" 756.4658 0 0 0 0 +"PS_32:1_[M+Na]1+" 756.4786 0 0 0 0 +"PS_34:4_[M+H]1+ / PG_34:6_[M+NH4]1+" 756.481 0 0 0 0 +"PI-P_28:0_[M+NH4]1+" 756.5021 0 0 0 0 +"PS-O_33:1_[M+Na]1+" 756.515 0 0 0 0 +"PC_34:3_[M+H]1+ / PE_37:3_[M+H]1+ / PA_39:4_[M+NH4]1+" 756.5538 0 0 0 0 +"PC-P_35:2_[M+H]1+ / PE-O_38:3_[M+H]1+" 756.5902 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 756.7694 0 0 0 0 +"PA_39:6_[M+Na]1+" 757.4779 0 0 0 0 +"PG_33:1_[M+Na]1+" 757.499 0 0 0 0 +"PG_35:4_[M+H]1+" 757.5014 0 0 0 0 +"PG-O_34:1_[M+Na]1+" 757.5354 0 0 0 0 +"PG-O_36:4_[M+H]1+" 757.5378 0 0 0 0 +"SM_38:2_[M+H]1+" 757.6218 0 0 0 0 +"TG_43:1_[M+Na]1+" 757.6317 0 0 0 0 +"CE_24:1_[M+Na]1+" 757.6833 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 757.7737 0 0 0 0 +"PE_38:9_[M+H]1+ / PA_40:10_[M+NH4]1+" 758.4755 0 0 0 0 +"PI_27:0_[M+NH4]1+" 758.4814 0 0 0 0 +"PS_32:0_[M+Na]1+" 758.4943 0 0 0 0 +"PS_34:3_[M+H]1+ / PG_34:5_[M+NH4]1+" 758.4967 0 0 0 0 +"PI-O_28:0_[M+NH4]1+" 758.5178 0 0 0 0 +"PS-O_33:0_[M+Na]1+" 758.5306 0 0 0 0 +"PS-P_35:2_[M+H]1+" 758.533 0 0 0 0 +"PC_34:2_[M+H]1+ / PE_37:2_[M+H]1+ / PA_39:3_[M+NH4]1+" 758.5694 0 0 0 0 +"PC-O_35:2_[M+H]1+ / PE-O_38:2_[M+H]1+" 758.6058 0 0 0 0 +"TG_44:5_[M+NH4]1+" 758.6293 0 0 0 0 +"PC-2O_36:1_[M+H]1+" 758.6422 0 0 0 0 +"2H-IS_PS_[M+Na]1+" 758.7761 0 0 0 0 +"PA_39:5_[M+Na]1+" 759.4935 0 0 0 0 +"PG_33:0_[M+Na]1+" 759.5147 0 0 0 0 +"PG_35:3_[M+H]1+" 759.5171 0 0 0 0 +"PG-O_34:0_[M+Na]1+" 759.551 0 0 0 0 +"PG-O_36:3_[M+H]1+" 759.5534 0 0 0 0 +"SM_38:1_[M+H]1+" 759.6375 0 0 0 0 +"TG_43:0_[M+Na]1+" 759.6473 0 0 0 0 +"CE_24:0_[M+Na]1+" 759.699 0 0 0 0 +"PE_38:8_[M+H]1+ / PA_40:9_[M+NH4]1+" 760.4912 0 0 0 0 +"PS_34:2_[M+H]1+ / PG_34:4_[M+NH4]1+" 760.5123 0 0 0 0 +"PS-O_35:2_[M+H]1+" 760.5487 0 0 0 0 +"PC_34:1_[M+H]1+ / PE_37:1_[M+H]1+ / PA_39:2_[M+NH4]1+" 760.5851 0 0 0 0 +"PC-O_35:1_[M+H]1+ / PE-O_38:1_[M+H]1+" 760.6215 0 0 0 0 +"TG_44:4_[M+NH4]1+" 760.645 0 0 0 0 +"PI_27:1_[M+Na]1+" 761.4212 0 0 0 0 +"PG_34:6_[M+Na]1+" 761.4364 0 0 0 0 +"PI-P_28:0_[M+Na]1+" 761.4575 0 0 0 0 +"PA_39:4_[M+Na]1+" 761.5092 0 0 0 0 +"PG_35:2_[M+H]1+" 761.5327 0 0 0 0 +"PG-O_36:2_[M+H]1+" 761.5691 0 0 0 0 +"SM_38:0_[M+H]1+" 761.6531 0 0 0 0 +"PS_33:5_[M+Na]1+" 762.4317 0 0 0 0 +"PS-P_34:4_[M+Na]1+" 762.468 0 0 0 0 +"PE_38:7_[M+H]1+ / PA_40:8_[M+NH4]1+" 762.5068 0 0 0 0 +"PS_34:1_[M+H]1+ / PG_34:3_[M+NH4]1+" 762.528 0 0 0 0 +"PS-O_35:1_[M+H]1+ / PG-P_35:2_[M+NH4]1+" 762.5643 0 0 0 0 +"PC_34:0_[M+H]1+ / PE_37:0_[M+H]1+ / PA_39:1_[M+NH4]1+" 762.6007 0 0 0 0 +"PC-O_35:0_[M+H]1+ / PE-O_38:0_[M+H]1+" 762.6371 0 0 0 0 +"TG_44:3_[M+NH4]1+" 762.6606 0 0 0 0 +"PA_40:10_[M+Na]1+" 763.4309 0 0 0 0 +"PI_27:0_[M+Na]1+" 763.4368 0 0 0 0 +"PG_34:5_[M+Na]1+" 763.4521 0 0 0 0 +"PG_36:8_[M+H]1+" 763.4545 0 0 0 0 +"PI-O_28:0_[M+Na]1+" 763.4732 0 0 0 0 +"PA_39:3_[M+Na]1+" 763.5248 0 0 0 0 +"PG_35:1_[M+H]1+" 763.5484 0 0 0 0 +"PG-O_36:1_[M+H]1+ / TG_44:5_[M+Na]1+" 763.5847 0 0 0 0 +"PS_33:4_[M+Na]1+" 764.4473 0 0 0 0 +"PS-O_34:4_[M+Na]1+" 764.4837 0 0 0 0 +"PC_35:6_[M+H]1+ / PE_38:6_[M+H]1+ / PA_40:7_[M+NH4]1+" 764.5225 0 0 0 0 +"PS_34:0_[M+H]1+ / PG_34:2_[M+NH4]1+" 764.5436 0 0 0 0 +"PC-P_36:5_[M+H]1+" 764.5589 0 0 0 0 +"PS-O_35:0_[M+H]1+ / PG-O_35:2_[M+NH4]1+" 764.58 0 0 0 0 +"PA_39:0_[M+NH4]1+" 764.6164 0 0 0 0 +"TG_44:2_[M+NH4]1+" 764.6763 0 0 0 0 +"PA_40:9_[M+Na]1+" 765.4466 0 0 0 0 +"PI_29:2_[M+H]1+" 765.4549 0 0 0 0 +"PG_34:4_[M+Na]1+" 765.4677 0 0 0 0 +"PG_36:7_[M+H]1+" 765.4701 0 0 0 0 +"PI-P_30:1_[M+H]1+" 765.4912 0 0 0 0 +"PA_39:2_[M+Na]1+" 765.5405 0 0 0 0 +"PG_35:0_[M+H]1+" 765.564 0 0 0 0 +"PG-O_36:0_[M+H]1+ / TG_44:4_[M+Na]1+" 765.6004 0 0 0 0 +"PS_33:3_[M+Na]1+" 766.463 0 0 0 0 +"PS_35:6_[M+H]1+" 766.4654 0 0 0 0 +"PS-O_34:3_[M+Na]1+" 766.4993 0 0 0 0 +"PS-P_36:5_[M+H]1+" 766.5017 0 0 0 0 +"PC_35:5_[M+H]1+ / PE_38:5_[M+H]1+ / PA_40:6_[M+NH4]1+" 766.5381 0 0 0 0 +"PG_34:1_[M+NH4]1+" 766.5593 0 0 0 0 +"PC-O_36:5_[M+H]1+" 766.5745 0 0 0 0 +"PG-O_35:1_[M+NH4]1+" 766.5956 0 0 0 0 +"TG_44:1_[M+NH4]1+" 766.6919 0 0 0 0 +"PA_40:8_[M+Na]1+" 767.4622 0 0 0 0 +"PI_29:1_[M+H]1+" 767.4705 0 0 0 0 +"PG_34:3_[M+Na]1+" 767.4834 0 0 0 0 +"PG_36:6_[M+H]1+" 767.4858 0 0 0 0 +"PI-O_30:1_[M+H]1+" 767.5069 0 0 0 0 +"PG-P_35:2_[M+Na]1+" 767.5197 0 0 0 0 +"PA_39:1_[M+Na]1+" 767.5561 0 0 0 0 +"TG_44:3_[M+Na]1+" 767.616 0 0 0 0 +"PI_28:2_[M+NH4]1+" 768.4658 0 0 0 0 +"PS_33:2_[M+Na]1+" 768.4786 0 0 0 0 +"PS_35:5_[M+H]1+" 768.481 0 0 0 0 +"PS-O_34:2_[M+Na]1+" 768.515 0 0 0 0 +"PS-O_36:5_[M+H]1+" 768.5174 0 0 0 0 +"PC_35:4_[M+H]1+ / PE_38:4_[M+H]1+ / PA_40:5_[M+NH4]1+" 768.5538 0 0 0 0 +"PG_34:0_[M+NH4]1+" 768.5749 0 0 0 0 +"PC-O_36:4_[M+H]1+" 768.5902 0 0 0 0 +"PG-O_35:0_[M+NH4]1+" 768.6113 0 0 0 0 +"TG_44:0_[M+NH4]1+" 768.7076 0 0 0 0 +"PA_40:7_[M+Na]1+" 769.4779 0 0 0 0 +"PI_29:0_[M+H]1+" 769.4862 0 0 0 0 +"PG_34:2_[M+Na]1+" 769.499 0 0 0 0 +"PG_36:5_[M+H]1+" 769.5014 0 0 0 0 +"PI-O_30:0_[M+H]1+" 769.5225 0 0 0 0 +"PG-O_35:2_[M+Na]1+" 769.5354 0 0 0 0 +"PA_39:0_[M+Na]1+" 769.5718 0 0 0 0 +"TG_44:2_[M+Na]1+" 769.6317 0 0 0 0 +"PI_28:1_[M+NH4]1+" 770.4814 0 0 0 0 +"PS_33:1_[M+Na]1+" 770.4943 0 0 0 0 +"PS_35:4_[M+H]1+ / PG_35:6_[M+NH4]1+" 770.4967 0 0 0 0 +"PI-P_29:0_[M+NH4]1+" 770.5178 0 0 0 0 +"PS-O_34:1_[M+Na]1+" 770.5306 0 0 0 0 +"PS-O_36:4_[M+H]1+ / PG-P_36:5_[M+NH4]1+" 770.533 0 0 0 0 +"PC_35:3_[M+H]1+ / PE_38:3_[M+H]1+ / PA_40:4_[M+NH4]1+" 770.5694 0 0 0 0 +"PC-O_36:3_[M+H]1+" 770.6058 0 0 0 0 +"PA_40:6_[M+Na]1+" 771.4935 0 0 0 0 +"PG_34:1_[M+Na]1+" 771.5147 0 0 0 0 +"PG_36:4_[M+H]1+" 771.5171 0 0 0 0 +"PG-O_35:1_[M+Na]1+" 771.551 0 0 0 0 +"SM_39:2_[M+H]1+" 771.6375 0 0 0 0 +"TG_44:1_[M+Na]1+" 771.6473 0 0 0 0 +"PI_28:0_[M+NH4]1+" 772.4971 0 0 0 0 +"PS_33:0_[M+Na]1+" 772.5099 0 0 0 0 +"PS_35:3_[M+H]1+ / PG_35:5_[M+NH4]1+" 772.5123 0 0 0 0 +"PI-O_29:0_[M+NH4]1+" 772.5334 0 0 0 0 +"PS-O_34:0_[M+Na]1+" 772.5463 0 0 0 0 +"PS-O_36:3_[M+H]1+ / PG-O_36:5_[M+NH4]1+" 772.5487 0 0 0 0 +"PC_35:2_[M+H]1+ / PE_38:2_[M+H]1+ / PA_40:3_[M+NH4]1+" 772.5851 0 0 0 0 +"PC-O_36:2_[M+H]1+ / PE-P_39:1_[M+H]1+" 772.6215 0 0 0 0 +"TG_45:5_[M+NH4]1+" 772.645 0 0 0 0 +"PI_28:2_[M+Na]1+" 773.4212 0 0 0 0 +"PA_40:5_[M+Na]1+" 773.5092 0 0 0 0 +"PG_34:0_[M+Na]1+" 773.5303 0 0 0 0 +"PG_36:3_[M+H]1+" 773.5327 0 0 0 0 +"PG-O_35:0_[M+Na]1+" 773.5667 0 0 0 0 +"PG-P_37:2_[M+H]1+" 773.5691 0 0 0 0 +"SM_39:1_[M+H]1+" 773.6531 0 0 0 0 +"TG_44:0_[M+Na]1+" 773.663 0 0 0 0 +"PS_34:6_[M+Na]1+" 774.4317 0 0 0 0 +"PC_36:8_[M+H]1+ / PE_39:8_[M+H]1+" 774.5068 0 0 0 0 +"PS_35:2_[M+H]1+ / PG_35:4_[M+NH4]1+" 774.528 0 0 0 0 +"PE-P_40:7_[M+H]1+" 774.5432 0 0 0 0 +"PS-O_36:2_[M+H]1+ / PG-O_36:4_[M+NH4]1+" 774.5643 0 0 0 0 +"PC_35:1_[M+H]1+ / PE_38:1_[M+H]1+ / PA_40:2_[M+NH4]1+" 774.6007 0 0 0 0 +"PC-O_36:1_[M+H]1+ / PE-O_39:1_[M+H]1+" 774.6371 0 0 0 0 +"TG_45:4_[M+NH4]1+" 774.6606 0 0 0 0 +"PI_28:1_[M+Na]1+" 775.4368 0 0 0 0 +"PI_30:4_[M+H]1+" 775.4392 0 0 0 0 +"PG_35:6_[M+Na]1+" 775.4521 0 0 0 0 +"PI-P_29:0_[M+Na]1+" 775.4732 0 0 0 0 +"PG-P_36:5_[M+Na]1+" 775.4884 0 0 0 0 +"PA_40:4_[M+Na]1+" 775.5248 0 0 0 0 +"PG_36:2_[M+H]1+" 775.5484 0 0 0 0 +"PG-O_37:2_[M+H]1+" 775.5847 0 0 0 0 +"PS_34:5_[M+Na]1+" 776.4473 0 0 0 0 +"PS_36:8_[M+H]1+" 776.4497 0 0 0 0 +"PC_36:7_[M+H]1+ / PE_39:7_[M+H]1+" 776.5225 0 0 0 0 +"PS_35:1_[M+H]1+ / PG_35:3_[M+NH4]1+" 776.5436 0 0 0 0 +"PE-P_40:6_[M+H]1+" 776.5589 0 0 0 0 +"PS-O_36:1_[M+H]1+ / PG-O_36:3_[M+NH4]1+" 776.58 0 0 0 0 +"PC_35:0_[M+H]1+ / PE_38:0_[M+H]1+ / PA_40:1_[M+NH4]1+" 776.6164 0 0 0 0 +"PC-O_36:0_[M+H]1+ / PE-O_39:0_[M+H]1+" 776.6528 0 0 0 0 +"TG_45:3_[M+NH4]1+" 776.6763 0 0 0 0 +"PI_28:0_[M+Na]1+" 777.4525 0 0 0 0 +"PI_30:3_[M+H]1+" 777.4549 0 0 0 0 +"PG_35:5_[M+Na]1+" 777.4677 0 0 0 0 +"PI-O_29:0_[M+Na]1+" 777.4888 0 0 0 0 +"PG-O_36:5_[M+Na]1+" 777.5041 0 0 0 0 +"PA_40:3_[M+Na]1+" 777.5405 0 0 0 0 +"PG_36:1_[M+H]1+" 777.564 0 0 0 0 +"PG-O_37:1_[M+H]1+ / TG_45:5_[M+Na]1+" 777.6004 0 0 0 0 +"2H-IS_PG_[M+H]1+" 777.7073 0 0 0 0 +"PS_34:4_[M+Na]1+" 778.463 0 0 0 0 +"PS_36:7_[M+H]1+" 778.4654 0 0 0 0 +"PC_36:6_[M+H]1+ / PE_39:6_[M+H]1+ / PA_41:7_[M+NH4]1+" 778.5381 0 0 0 0 +"PS_35:0_[M+H]1+ / PG_35:2_[M+NH4]1+" 778.5593 0 0 0 0 +"PE-O_40:6_[M+H]1+" 778.5745 0 0 0 0 +"PS-O_36:0_[M+H]1+ / PG-O_36:2_[M+NH4]1+" 778.5956 0 0 0 0 +"PA_40:0_[M+NH4]1+" 778.632 0 0 0 0 +"TG_45:2_[M+NH4]1+" 778.6919 0 0 0 0 +"2H-IS_PG_[M+H]1+" 778.7135 0 0 0 0 +"PI_30:2_[M+H]1+" 779.4705 0 0 0 0 +"PG_35:4_[M+Na]1+" 779.4834 0 0 0 0 +"PG_37:7_[M+H]1+" 779.4858 0 0 0 0 +"PI-P_31:1_[M+H]1+" 779.5069 0 0 0 0 +"PG-O_36:4_[M+Na]1+" 779.5197 0 0 0 0 +"PG-P_38:6_[M+H]1+" 779.5221 0 0 0 0 +"PA_40:2_[M+Na]1+" 779.5561 0 0 0 0 +"PG_36:0_[M+H]1+" 779.5797 0 0 0 0 +"PG-O_37:0_[M+H]1+ / TG_45:4_[M+Na]1+" 779.616 0 0 0 0 +"2H-IS_PG_[M+H]1+" 779.7194 0 0 0 0 +"PS_34:3_[M+Na]1+" 780.4786 0 0 0 0 +"PS_36:6_[M+H]1+ / PG_36:8_[M+NH4]1+" 780.481 0 0 0 0 +"PS-P_35:2_[M+Na]1+" 780.515 0 0 0 0 +"PC_36:5_[M+H]1+ / PE_39:5_[M+H]1+ / PA_41:6_[M+NH4]1+" 780.5538 0 0 0 0 +"PG_35:1_[M+NH4]1+" 780.5749 0 0 0 0 +"PE-O_40:5_[M+H]1+" 780.5902 0 0 0 0 +"PG-O_36:1_[M+NH4]1+" 780.6113 0 0 0 0 +"TG_45:1_[M+NH4]1+" 780.7076 0 0 0 0 +"2H-IS_PG_[M+H]1+" 780.7253 0 0 0 0 +"PI_30:1_[M+H]1+" 781.4862 0 0 0 0 +"PG_35:3_[M+Na]1+" 781.499 0 0 0 0 +"PG_37:6_[M+H]1+" 781.5014 0 0 0 0 +"PI-O_31:1_[M+H]1+" 781.5225 0 0 0 0 +"PG-O_36:3_[M+Na]1+" 781.5354 0 0 0 0 +"PG-O_38:6_[M+H]1+" 781.5378 0 0 0 0 +"PA_40:1_[M+Na]1+" 781.5718 0 0 0 0 +"TG_45:3_[M+Na]1+" 781.6317 0 0 0 0 +"2H-IS_PG_[M+H]1+" 781.7294 0 0 0 0 +"PI_29:2_[M+NH4]1+" 782.4814 0 0 0 0 +"PS_34:2_[M+Na]1+" 782.4943 0 0 0 0 +"PS_36:5_[M+H]1+ / PG_36:7_[M+NH4]1+" 782.4967 0 0 0 0 +"PI-P_30:1_[M+NH4]1+" 782.5178 0 0 0 0 +"PS-O_35:2_[M+Na]1+" 782.5306 0 0 0 0 +"PC_36:4_[M+H]1+ / PE_39:4_[M+H]1+ / PA_41:5_[M+NH4]1+" 782.5694 0 0 0 0 +"PG_35:0_[M+NH4]1+" 782.5906 0 0 0 0 +"PC-O_37:4_[M+H]1+ / PE-O_40:4_[M+H]1+" 782.6058 0 0 0 0 +"PG-O_36:0_[M+NH4]1+" 782.6269 0 0 0 0 +"TG_45:0_[M+NH4]1+" 782.7232 0 0 0 0 +"2H-IS_PG_[M+H]1+" 782.733 0 0 0 0 +"PA_41:7_[M+Na]1+" 783.4935 0 0 0 0 +"PI_30:0_[M+H]1+" 783.5018 0 0 0 0 +"PG_35:2_[M+Na]1+" 783.5147 0 0 0 0 +"PG_37:5_[M+H]1+" 783.5171 0 0 0 0 +"PI-O_31:0_[M+H]1+" 783.5382 0 0 0 0 +"PG-O_36:2_[M+Na]1+" 783.551 0 0 0 0 +"PG-O_38:5_[M+H]1+" 783.5534 0 0 0 0 +"PA_40:0_[M+Na]1+" 783.5874 0 0 0 0 +"SM_40:3_[M+H]1+" 783.6375 0 0 0 0 +"TG_45:2_[M+Na]1+" 783.6473 0 0 0 0 +"PE_40:10_[M+H]1+ / PA_42:11_[M+NH4]1+" 784.4912 0 0 0 0 +"PI_29:1_[M+NH4]1+" 784.4971 0 0 0 0 +"PS_34:1_[M+Na]1+" 784.5099 0 0 0 0 +"PS_36:4_[M+H]1+ / PG_36:6_[M+NH4]1+" 784.5123 0 0 0 0 +"PI-O_30:1_[M+NH4]1+" 784.5334 0 0 0 0 +"PS-O_35:1_[M+Na]1+" 784.5463 0 0 0 0 +"PC_36:3_[M+H]1+ / PE_39:3_[M+H]1+ / PA_41:4_[M+NH4]1+" 784.5851 0 0 0 0 +"PC-P_37:2_[M+H]1+ / PE-O_40:3_[M+H]1+" 784.6215 0 0 0 0 +"TG_46:6_[M+NH4]1+" 784.645 0 0 0 0 +"PG_36:8_[M+Na]1+" 785.4364 0 0 0 0 +"PA_41:6_[M+Na]1+" 785.5092 0 0 0 0 +"PG_35:1_[M+Na]1+" 785.5303 0 0 0 0 +"PG_37:4_[M+H]1+" 785.5327 0 0 0 0 +"PG-O_36:1_[M+Na]1+" 785.5667 0 0 0 0 +"PG-O_38:4_[M+H]1+" 785.5691 0 0 0 0 +"SM_40:2_[M+H]1+" 785.6531 0 0 0 0 +"TG_45:1_[M+Na]1+" 785.663 0 0 0 0 +"PE_40:9_[M+H]1+ / PA_42:10_[M+NH4]1+" 786.5068 0 0 0 0 +"PI_29:0_[M+NH4]1+" 786.5127 0 0 0 0 +"PS_34:0_[M+Na]1+" 786.5256 0 0 0 0 +"PS_36:3_[M+H]1+ / PG_36:5_[M+NH4]1+" 786.528 0 0 0 0 +"PI-O_30:0_[M+NH4]1+" 786.5491 0 0 0 0 +"PS-O_35:0_[M+Na]1+" 786.5619 0 0 0 0 +"PS-P_37:2_[M+H]1+" 786.5643 0 0 0 0 +"PC_36:2_[M+H]1+ / PE_39:2_[M+H]1+ / PA_41:3_[M+NH4]1+" 786.6007 0 0 0 0 +"PC-O_37:2_[M+H]1+ / PE-O_40:2_[M+H]1+" 786.6371 0 0 0 0 +"TG_46:5_[M+NH4]1+" 786.6606 0 0 0 0 +"PI_29:2_[M+Na]1+" 787.4368 0 0 0 0 +"PG_36:7_[M+Na]1+" 787.4521 0 0 0 0 +"PI-P_30:1_[M+Na]1+" 787.4732 0 0 0 0 +"PA_41:5_[M+Na]1+" 787.5248 0 0 0 0 +"PG_35:0_[M+Na]1+" 787.546 0 0 0 0 +"PG_37:3_[M+H]1+" 787.5484 0 0 0 0 +"PG-O_36:0_[M+Na]1+" 787.5823 0 0 0 0 +"PG-O_38:3_[M+H]1+" 787.5847 0 0 0 0 +"SM_40:1_[M+H]1+" 787.6688 0 0 0 0 +"TG_45:0_[M+Na]1+" 787.6786 0 0 0 0 +"PS_35:6_[M+Na]1+" 788.4473 0 0 0 0 +"PS-P_36:5_[M+Na]1+" 788.4837 0 0 0 0 +"PE_40:8_[M+H]1+ / PA_42:9_[M+NH4]1+" 788.5225 0 0 0 0 +"PS_36:2_[M+H]1+ / PG_36:4_[M+NH4]1+" 788.5436 0 0 0 0 +"PS-O_37:2_[M+H]1+" 788.58 0 0 0 0 +"PC_36:1_[M+H]1+ / PE_39:1_[M+H]1+ / PA_41:2_[M+NH4]1+" 788.6164 0 0 0 0 +"PC-O_37:1_[M+H]1+ / PE-O_40:1_[M+H]1+" 788.6528 0 0 0 0 +"TG_46:4_[M+NH4]1+" 788.6763 0 0 0 0 +"2H-IS_PC_[M+H]1+" 788.7597 0 0 0 0 +"PA_42:11_[M+Na]1+" 789.4466 0 0 0 0 +"PI_29:1_[M+Na]1+" 789.4525 0 0 0 0 +"PI_31:4_[M+H]1+" 789.4549 0 0 0 0 +"PG_36:6_[M+Na]1+" 789.4677 0 0 0 0 +"PG_38:9_[M+H]1+" 789.4701 0 0 0 0 +"PI-O_30:1_[M+Na]1+" 789.4888 0 0 0 0 +"PA_41:4_[M+Na]1+" 789.5405 0 0 0 0 +"PG_37:2_[M+H]1+" 789.564 0 0 0 0 +"PG-O_38:2_[M+H]1+ / TG_46:6_[M+Na]1+" 789.6004 0 0 0 0 +"SM_40:0_[M+H]1+" 789.6844 0 0 0 0 +"2H-IS_PC_[M+H]1+" 789.7655 0 0 0 0 +"PS_35:5_[M+Na]1+" 790.463 0 0 0 0 +"PS-O_36:5_[M+Na]1+" 790.4993 0 0 0 0 +"PC_37:7_[M+H]1+ / PE_40:7_[M+H]1+ / PA_42:8_[M+NH4]1+" 790.5381 0 0 0 0 +"PS_36:1_[M+H]1+ / PG_36:3_[M+NH4]1+" 790.5593 0 0 0 0 +"PC-P_38:6_[M+H]1+" 790.5745 0 0 0 0 +"PS-O_37:1_[M+H]1+ / PG-P_37:2_[M+NH4]1+" 790.5956 0 0 0 0 +"PC_36:0_[M+H]1+ / PE_39:0_[M+H]1+ / PA_41:1_[M+NH4]1+" 790.632 0 0 0 0 +"PC-O_37:0_[M+H]1+ / PE-O_40:0_[M+H]1+" 790.6684 0 0 0 0 +"TG_46:3_[M+NH4]1+" 790.6919 0 0 0 0 +"2H-IS_PC_[M+H]1+" 790.771 0 0 0 0 +"PA_42:10_[M+Na]1+" 791.4622 0 0 0 0 +"PI_29:0_[M+Na]1+" 791.4681 0 0 0 0 +"PI_31:3_[M+H]1+" 791.4705 0 0 0 0 +"PG_36:5_[M+Na]1+" 791.4834 0 0 0 0 +"PG_38:8_[M+H]1+" 791.4858 0 0 0 0 +"PI-O_30:0_[M+Na]1+" 791.5045 0 0 0 0 +"PA_41:3_[M+Na]1+" 791.5561 0 0 0 0 +"PG_37:1_[M+H]1+" 791.5797 0 0 0 0 +"PG-O_38:1_[M+H]1+ / TG_46:5_[M+Na]1+" 791.616 0 0 0 0 +"2H-IS_PC_[M+H]1+" 791.7761 0 0 0 0 +"PI_30:4_[M+NH4]1+" 792.4658 0 0 0 0 +"PS_35:4_[M+Na]1+" 792.4786 0 0 0 0 +"PS_37:7_[M+H]1+" 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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dimsp/test-data/res/sam_bl_peak_filter.tsv Tue Oct 22 04:06:06 2019 -0400 @@ -0,0 +1,687 @@ +"name" "mz" "X01_sample" "X02_sample" "X03_sample" "X04_sample" "X05_sample" "X06_sample" "X07_sample" "X08_sample" "X09_sample" "X10_sample" +"TG_6:0_[M+NH4]1+" 236.1129 23680.2668082063 18618.3959347721 22790.913946956 26642.8958163855 22989.1798147566 23963.8021683044 22828.9629350459 19742.2729042901 22407.7522417477 19529.9245604755 +"LPC_O-5:0_[M+H]1+" 328.1884 324.069924930966 243.401758032179 1519.04399353118 262.772762252023 98.4719742766501 269.218709317129 105.305709096128 377.608502498487 9.32461988755228 38.2609959133504 +"Cholesterol_[M+H-H2O]1+" 369.3516 762819.37622281 977877.485706078 1187192.18147608 1462344.006764 1435596.6486764 1136027.71268984 1249337.72686756 1767737.84304313 1683483.13729985 1476509.15100879 +"MG_22:6_[M+NH4]1+" 420.3108 4000.02085522488 3581.01362854761 3836.23671243071 1855.33398575675 6715.50830867833 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