comparison probmetab.r @ 3:f24b9c360a60 draft

planemo upload commit dc4b1363a3fe83f195167f1f0b25c9728006e364
author lecorguille
date Wed, 15 Feb 2017 11:45:26 -0500
parents 3024c437371c
children a1b528cba999
comparison
equal deleted inserted replaced
2:9541ba588de1 3:f24b9c360a60
2 # probmetab.r version="1.0.0" 2 # probmetab.r version="1.0.0"
3 # Author: Misharl Monsoor ABIMS TEAM mmonsoor@sb-roscoff.fr 3 # Author: Misharl Monsoor ABIMS TEAM mmonsoor@sb-roscoff.fr
4 4
5 5
6 # ----- LOG ----- 6 # ----- LOG -----
7 log_file=file("probmetab.log", open = "wt") 7 log_file=file("log.txt", open = "wt")
8 sink(log_file) 8 sink(log_file)
9 sink(log_file, type = "out") 9 sink(log_file, type = "out")
10 10
11 # ----- PACKAGE ----- 11 # ----- PACKAGE -----
12 cat("\tPACKAGE INFO\n") 12 cat("\tPACKAGE INFO\n")
13 pkgs=c("parallel","BiocGenerics", "Biobase", "Rcpp", "mzR", "igraph", "xcms","snow","CAMERA","batch","ProbMetab") 13 pkgs=c("parallel","BiocGenerics", "Biobase", "Rcpp", "mzR", "igraph", "xcms","snow","CAMERA","batch","ProbMetab")
14 for(p in pkgs) { 14 for(p in pkgs) {
15 suppressWarnings( suppressPackageStartupMessages( stopifnot( library(p, quietly=TRUE, logical.return=TRUE, character.only=TRUE)))) 15 suppressWarnings( suppressPackageStartupMessages( stopifnot( library(p, quietly=TRUE, logical.return=TRUE, character.only=TRUE))))
16 cat(p,"\t",as.character(packageVersion(p)),"\n",sep="") 16 cat(p,"\t",as.character(packageVersion(p)),"\n",sep="")
17 } 17 }
18 18
19 source_local <- function(fname){ 19 source_local <- function(fname){
20 argv <- commandArgs(trailingOnly = FALSE) 20 argv <- commandArgs(trailingOnly = FALSE)
21 base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)) 21 base_dir <- dirname(substring(argv[grep("--file=", argv)], 8))
22 source(paste(base_dir, fname, sep="/")) 22 source(paste(base_dir, fname, sep="/"))
23 } 23 }
24 cat("\n\n") 24 cat("\n\n")
25
26
25 # ----- ARGUMENTS ----- 27 # ----- ARGUMENTS -----
26 cat("\tARGUMENTS INFO\n") 28 cat("\tARGUMENTS INFO\n")
27 listArguments = parseCommandArgs(evaluate=FALSE) #interpretation of arguments given in command line as an R list of objects 29 listArguments = parseCommandArgs(evaluate=FALSE) #interpretation of arguments given in command line as an R list of objects
28 write.table(as.matrix(listArguments), col.names=F, quote=F, sep='\t') 30 write.table(as.matrix(listArguments), col.names=F, quote=F, sep='\t')
29 31
30 32
31 33
33 cat("\tINFILE PROCESSING INFO\n") 35 cat("\tINFILE PROCESSING INFO\n")
34 36
35 # ----- INFILE PROCESSING ----- 37 # ----- INFILE PROCESSING -----
36 38
37 if(listArguments[["mode_acquisition"]]=="one") { 39 if(listArguments[["mode_acquisition"]]=="one") {
38 load(listArguments[["xa"]]) 40 load(listArguments[["image"]])
39 41 cat("\t\tXA OBJECT INFO\n")
40 if (!is.null(listArguments[["zipfile"]])){ 42 print(xa)
41 zipfile= listArguments[["zipfile"]]; listArguments[["zipfile"]]=NULL 43
42 } 44 source_local("lib.r")
43 45 rawFilePath = getRawfilePathFromArguments(listArguments)
44 #Unzip the chromatograms file for plotting EIC pour the HTML file 46 zipfile = rawFilePath$zipfile
45 if(exists("zipfile")) 47 singlefile = rawFilePath$singlefile
46 { 48 retrieveRawfileInTheWorkingDirectory(singlefile, zipfile)
47 if (zipfile!=""){ 49
48 directory=unzip(zipfile) 50 if (!exists("variableMetadata")) variableMetadata= getVariableMetadata(xa);
49 } 51
50 }
51 if (!exists("xa")) {
52 xa=xsAnnotate_object
53 }
54 source_local("lib.r")
55 if (!exists("variableMetadata")) variableMetadata= getVariableMetadata(xa);
56
57 } else if(listArguments[["inputs_mode"]]=="two"){ 52 } else if(listArguments[["inputs_mode"]]=="two"){
58 load(listArguments[["image_pos"]])
59
60 if (!is.null(listArguments[["zipfile"]])){
61 zipfile= listArguments[["zipfile"]]; listArguments[["zipfile"]]=NULL
62 }
63
64 #Unzip the chromatograms file for plotting EIC pour the HTML file
65 if(exists("zipfile")) {
66 if (zipfile!=""){
67 directory=unzip(zipfile)
68 }
69 }
70 if (!exists("xa")) {
71 xa=xsAnnotate_object
72 }
73 xaP=xa
74 source_local("lib.r")
75 if (!exists("variableMetadata")) variableMetadataP= getVariableMetadata(xa)
76 else variableMetadataP=variableMetadata
77 53
54 # POSITIVE
55 load(listArguments[["image_pos"]])
78 56
79 load(listArguments[["image_neg"]]) 57 if (!exists("xa")) xaP=xsAnnotate_object
80 58 else xaP=xa
81 if (!is.null(listArguments[["zipfile"]])){ 59 cat("\t\tXA-POSITIVE OBJECT INFO\n")
82 zipfile= listArguments[["zipfile"]]; listArguments[["zipfile"]]=NULL 60 print(xaP)
83 } 61
84 62 if (!exists("variableMetadata")) variableMetadataP = getVariableMetadata(xa)
85 #Unzip the chromatograms file for plotting EIC pour the HTML file 63 else variableMetadataP = variableMetadata
86 if(exists("zipfile")) { 64
87 65 source_local("lib.r")
88 if (zipfile!=""){ 66 rawFilePath = getRawfilePathFromArguments(listArguments)
89 directory=unzip(zipfile) 67 zipfilePos = rawFilePath$zipfile
90 } 68 singlefilePos = rawFilePath$singlefile
91 } 69 retrieveRawfileInTheWorkingDirectory(singlefilePos, zipfilePos)
92 if (!exists("xa")) { 70
93 xa=xsAnnotate_object 71 # NEGATIVE
94 } 72 load(listArguments[["image_neg"]])
95 xaN=xa 73
96 source_local("lib.r") 74 if (!exists("xa")) xaN=xsAnnotate_object
97 75 else xaN=xa
98 if (!exists("variableMetadata")) variableMetadataN= getVariableMetadata(xa) 76 cat("\t\tXA-NEGATIVE OBJECT INFO\n")
99 else variableMetadataN=variableMetadata 77 print(xaP)
78
79 if (!exists("variableMetadata")) variableMetadataN = getVariableMetadata(xa)
80 else variableMetadataN = variableMetadata
81
82 source_local("lib.r")
83 rawFilePath = getRawfilePathFromArguments(listArguments)
84 zipfileNeg = rawFilePath$zipfile
85 singlefileNeg = rawFilePath$singlefile
86 retrieveRawfileInTheWorkingDirectory(singlefileNeg, zipfileNeg)
100 } 87 }
101 88
102 #Import the different functions 89 #Import the different functions
103 source_local("lib.r") 90 source_local("lib.r")
104 source_local("export.class.table-color-graph.R") 91 source_local("export.class.table-color-graph.R")
105 92
106 # ----- PROCESSING INFO ----- 93 # ----- PROCESSING INFO -----
107 cat("\tMAIN PROCESSING INFO\n") 94 cat("\tMAIN PROCESSING INFO\n")
108 95
109 if(listArguments[["mode_acquisition"]]=="one") { 96 if(listArguments[["mode_acquisition"]]=="one") {
110 results=probmetab(xa=xa, variableMetadata=variableMetadata,listArguments=listArguments) 97 results=probmetab(xa=xa, variableMetadata=variableMetadata,listArguments=listArguments)
111 } else if(listArguments[["inputs_mode"]]=="two"){ 98 } else if(listArguments[["inputs_mode"]]=="two"){
112 results=probmetab(xaP=xaP, xaN=xaN,variableMetadataP=variableMetadataP, variableMetadataN=variableMetadataN, listArguments=listArguments) 99 results=probmetab(xaP=xaP, xaN=xaN,variableMetadataP=variableMetadataP, variableMetadataN=variableMetadataN, listArguments=listArguments)
113 } 100 }
114 #delete the parameters to avoid the passage to the next tool in .RData image 101 #delete the parameters to avoid the passage to the next tool in .RData image
115 #rm(listArguments) 102 #rm(listArguments)
116 cat("\tDONE\n") 103 cat("\tDONE\n")
117 #saving R data in .Rdata file to save the variables used in the present tool 104 #saving R data in .Rdata file to save the variables used in the present tool
118 #save.image(paste("probmetab","RData",sep=".")) 105 #save.image(paste("probmetab","RData",sep="."))
119