Mercurial > repos > galaxyp > mt2mq
comparison MT2MQ.R @ 0:6bee94458567 draft
"planemo upload commit 53bcf55b73cb251446150026242b4d47d49d3469"
author | galaxyp |
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date | Tue, 23 Jun 2020 07:46:07 -0400 |
parents | |
children | e50ec3a9a3f9 |
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1 # MT2MQ: prepares metatranscriptomic outputs from ASaiM (HUMAnN2 and metaphlan) for metaquantome | |
2 | |
3 # Load libraries | |
4 suppressPackageStartupMessages(library(tidyverse)) | |
5 #default_locale() | |
6 | |
7 # Set parameters from arguments | |
8 args = commandArgs(trailingOnly = TRUE) | |
9 data <- args[1] | |
10 # data: full path to file or directory: | |
11 # - if in functional or f-t mode, should be a tsv file of HUMAnN2 gene families, after regrouping and renaming to GO, joining samples, and renormalizing to CPM. | |
12 # - if in taxonomic mode, should be a directory of tsv files of metaphlan genus-level results | |
13 mode <- args[2] | |
14 # mode: | |
15 # -"f": function | |
16 # -"t": taxonomy | |
17 # -"ft": function-taxonomy | |
18 ontology <- unlist(strsplit(args[3], split = ",")) | |
19 # ontology: only for function or f-t mode. A string of the GO namespace(s) to include, separated by commas. | |
20 # ex: to include all: "molecular_function,biological_process,cellular_component" | |
21 outfile <- args[4] | |
22 # outfile: full path with pathname and extension for output | |
23 | |
24 # Functional mode | |
25 if (mode == "f"){ | |
26 out <- read.delim(file=data, header=TRUE, sep='\t') %>% | |
27 filter(!grepl(".+g__.+",X..Gene.Family)) %>% | |
28 separate(col=X..Gene.Family, into=c("id", "Extra"), sep=": ", fill="left") %>% | |
29 separate(col=Extra, into = c("namespace", "name"), sep = " ", fill="left", extra="merge") %>% | |
30 mutate(namespace = if_else(namespace == "[MF]", true = "molecular_function", false = if_else(namespace == "[BP]", true = "biological_process", false = "cellular_component"))) %>% | |
31 filter(namespace %in% ontology) %>% | |
32 select(id, name, namespace, 4:ncol(.)) | |
33 } | |
34 | |
35 # Taxonomic mode | |
36 if (mode == "t"){ | |
37 files <- dir(path = data) | |
38 out <- tibble(filename = files) %>% | |
39 mutate(file_contents= map(filename, ~read.delim(file=file.path(data, .), header=TRUE, sep = "\t"))) %>% | |
40 unnest(cols = c(file_contents)) %>% | |
41 rename(sample = filename) %>% | |
42 separate(col = sample, into = c("sample",NA), sep=".tsv") %>% | |
43 pivot_wider(names_from = sample, values_from = abundance) %>% | |
44 mutate(rank = "genus") %>% | |
45 rename(name = genus) %>% | |
46 mutate(id = row_number(name)) %>% # filler for taxon id but should eventually find a way to get id from ncbi database | |
47 select(id, name, rank, 2:ncol(.)) | |
48 } | |
49 | |
50 # Function-taxonomy mode | |
51 if (mode == "ft"){ | |
52 out <- read.delim(file=data, header=TRUE, sep='\t') %>% | |
53 filter(grepl(".+g__.+",X..Gene.Family)) %>% | |
54 separate(col=X..Gene.Family, into=c("id", "Extra"), sep=": ", fill="left") %>% | |
55 separate(col=Extra, into = c("namespace", "name"), sep = " ", fill="left", extra="merge") %>% | |
56 separate(col = name, into = c("name", "taxa"), sep="\\|", extra = "merge") %>% | |
57 separate(col = taxa, into = c("Extra", "genus", "species"), sep = "__") %>% select(-"Extra") %>% | |
58 mutate_if(is.character, str_replace_all, pattern = "\\.s", replacement = "") %>% | |
59 mutate_at(c("species"), str_replace_all, pattern = "_", replacement = " ") %>% | |
60 mutate(namespace = if_else(namespace == "[MF]", true = "molecular_function", false = if_else(namespace == "[BP]", true = "biological_process", false = "cellular_component"))) %>% | |
61 filter(namespace %in% ontology) %>% | |
62 select(id, name, namespace, 4:ncol(.)) | |
63 } | |
64 | |
65 # Write file | |
66 write.table(x = out, file = outfile, quote = FALSE, sep = "\t"); |