--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/asics_wrapper.R	Fri Sep 21 07:42:53 2018 -0400
@@ -0,0 +1,198 @@
+#!/usr/local/public/bin/Rscript --vanilla --slave --no-site-file
+
+## 29122017_asics_wrapper.R
+## Remi Servien, Patrick Tardivel, Marie Tremblay-Franco and Gaelle Lefort
+## marie.tremblay-franco@inra.fr
+
+runExampleL <- FALSE
+
+##------------------------------
+## Options
+##------------------------------
+strAsFacL <- options()$stringsAsFactors
+options(stringsAsFactors=FALSE)
+
+
+##------------------------------
+## Libraries loading
+##------------------------------
+# ParseCommandArgs function
+library(batch) 
+library(ASICS) 
+
+
+
+# R script call
+source_local <- function(fname)
+{
+argv <- commandArgs(trailingOnly=FALSE)
+base_dir <- dirname(substring(argv[grep("--file=", argv)], 8))
+source(paste(base_dir, fname, sep="/"))
+}
+#Import the different functions
+source_local("DrawSpec.R")
+
+
+##------------------------------
+## Errors ?????????????????????
+##------------------------------
+
+
+##------------------------------
+## Constants
+##------------------------------
+topEnvC <- environment()
+flagC <- "\n"
+
+
+##------------------------------
+## Script
+##------------------------------
+if(!runExampleL)
+    argLs <- parseCommandArgs(evaluate=FALSE)
+
+# Standards loading
+load(argLs[["standards"]])
+
+## Parameters Loading
+##-------------------
+# Inputs
+## Spectrum to annotate
+zipfile= argLs[["zipfile"]]
+directory=unzip(zipfile, list=F)
+directory=paste(getwd(),strsplit(directory[1],"/")[[1]][2],sep="/")
+
+
+##Exclusion zone(s)
+exclusionZones <- argLs[["zone_exclusion_choices.choice"]]
+exclusionZonesBorders <- NULL
+if (!is.null(argLs$zone_exclusion_left))
+{
+   for(i in which(names(argLs)=="zone_exclusion_left"))
+   {
+#     exclusionZonesBorders <- c(exclusionZonesBorders,list(c(argLs[[i]],argLs[[i+1]])))
+     exclusionZonesBorders <- c(exclusionZonesBorders,argLs[[i]],argLs[[i+1]])
+   }
+  exclusionZonesBorders <- matrix(exclusionZonesBorders, byrow=T, ncol=2)
+}
+if (is.null(argLs$zone_exclusion_left))
+{
+  exclusionZonesBorders <- matrix(c(0,0), byrow=T, ncol=2)
+}
+## Maximal allowed shift
+shift <- argLs[["shift"]]
+
+## Graphical zone(s)
+graphicalZones <- argLs[["zone_graphical_choices.choice"]]
+graphicalZonesBorders <- NULL
+if (!is.null(argLs$zone_exclusion_left))
+{
+  for(i in which(names(argLs)=="zone_graphical_left"))
+  {
+    graphicalZonesBorders <- c(graphicalZonesBorders,list(c(argLs[[i]],argLs[[i+1]])))
+  }
+}
+
+# Outputs
+logOut <- argLs[["logOut"]]
+proportionEstimation <- argLs[["proportionEstimation"]]
+graphOut <- argLs[["graphOut"]]
+
+sink(logOut)
+cat("\tPACKAGE INFO\n")
+# pkgs=c("batch", "ASICS")
+pkgs=c("batch", "ASICS")
+for(pkg in pkgs) {
+    suppressPackageStartupMessages( stopifnot( library(pkg, quietly=TRUE, logical.return=TRUE, character.only=TRUE)))
+    cat(pkg,"\t",as.character(packageVersion(pkg)),"\n",sep="")
+}
+cat("\n")
+
+
+## Checking arguments
+##-------------------
+error.stock <- "\n"
+if(length(error.stock) > 1)
+  stop(error.stock)
+  
+  
+## Computation
+##------------
+# annotation.Asics <- ASICS(directory, exclusion.areas=matrix(exclusionZonesBorders, byrow=T, ncol=2), 
+#                            max.shift=shift, which.spectra="last", library.metabolites=NULL, 
+#                            threshold.noise=0.02, seed=1234, nb.iter.signif=400)
+annotation.Asics <- ASICS(directory, exclusion.areas=exclusionZonesBorders, 
+                          max.shift=shift, which.spectra="last", library.metabolites=NULL, 
+                          threshold.noise=0.02, seed=1234, nb.iter.signif=400)
+
+
+## Saving
+##-------
+# Identified metabolites
+metabolites.estimation <- present_metabolites(annotation.Asics)
+colnames(metabolites.estimation) <- c("Metabolite",colnames(metabolites.estimation)[-1])
+write.table(metabolites.estimation,file=argLs$proportionEstimation,row.names=FALSE,quote=FALSE,sep="\t") 
+
+
+## Graphical display
+##------------------
+# Raw and annotated spectra comparison
+pdf(graphOut,onefile=TRUE)
+
+## Graphical output: overlay of raw and estimated spectra
+ppm.metabolites.estimation <- data.frame(round(ppm_grid(annotation.Asics),3), 
+                                         original_mixture(annotation.Asics))
+colnames(ppm.metabolites.estimation) <- c("PPM", "EstimatedProportion")
+ppm.metabolites.estimation <- ppm.metabolites.estimation[order(ppm.metabolites.estimation[,1],decreasing=T), ]
+
+mix <- data.frame(t(ppm.metabolites.estimation[,2]))
+colnames(mix) <- ppm.metabolites.estimation[,1]
+ppm <- ppm.metabolites.estimation[,1]
+
+estimatedMix <- data.frame(round(ppm_grid(annotation.Asics),3), reconstituted_mixture(annotation.Asics))
+colnames(estimatedMix) <- c("PPM","EstimatedProportion")
+estimatedMix <- estimatedMix[order(estimatedMix[,1],decreasing=T), ]
+estimatedMix <- estimatedMix[,2]
+
+## Whole spectra
+GraphRange <- 1:ncol(mix)
+tempVal <- trunc(length(GraphRange)/10)
+xPos <- c(10:0) * tempVal
+plot(1:ncol(mix), mix, type='l', xlab="", main="", xaxt="n", ylab="")
+axis(1, at=xPos, labels=colnames(mix)[xPos + 1])
+lines(estimatedMix, col="red")
+legend("topleft",legend=c("Real Mixture","Estimated Composition"),lty=c(1,1),col=c("black","red"))
+
+## Zoomed spectral window depending on user-selected zone(s)
+graphical.zone.length <- length(graphicalZonesBorders)
+if (graphical.zone.length != 0)
+
+  #   par(mfrow=c(2,1))
+for (g in 1:graphical.zone.length)
+  {
+     print(g)
+     plot(1:length((which(round(as.numeric(colnames(mix)),2) == graphicalZonesBorders[[g]][1])[1]):(which(round(as.numeric(colnames(mix)),2) == max(graphicalZonesBorders[[g]][2],0.5))[1])), 
+          mix[(which(round(as.numeric(colnames(mix)),2) == graphicalZonesBorders[[g]][1])[1]):(which(round(as.numeric(colnames(mix)),2) == max(graphicalZonesBorders[[g]][2],0.5))[1])], type='l', xlab="", ylab="Intensity", main="", xaxt="n")
+     lines(estimatedMix[(which(round(as.numeric(colnames(mix)),2) == graphicalZonesBorders[[g]][1])[1]):(which(round(as.numeric(colnames(mix)),2) == max(graphicalZonesBorders[[g]][2],0.5))[1])],col="red")
+    
+     xPos <- 1
+     nAxisPos <- 4
+     startP <- length(nAxisPos) 
+     endP <- length((which(round(as.numeric(colnames(mix)),2) == graphicalZonesBorders[[g]][1])[1]):(which(round(as.numeric(colnames(mix)),2) == max(graphicalZonesBorders[[g]][2],0.5))[1]))
+     GraphRange <- c(startP:endP)
+     tempVal <- trunc(length(GraphRange)/nAxisPos)
+     xPos <- c(0:nAxisPos) * tempVal
+     noms <- ppm.metabolites.estimation[xPos + which(ppm == round(graphicalZonesBorders[[g]][1],1))[1],1]
+     axis(1, at=xPos, labels=noms)
+   }
+
+invisible(dev.off())
+
+
+## Ending
+##---------------------
+cat("\nEnd of 'NMR annotation' Galaxy module call: ", as.character(Sys.time()), sep="")
+options(stringsAsFactors=strAsFacL)
+rm(list=ls())
+sink()
+