Mercurial > repos > computational-metabolomics > mspurity_averagefragspectra
comparison purityA.R @ 0:50eedf5ad217 draft
"planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit cb903cd93f9378cfb5eeb68512a54178dcea7bbc-dirty"
author | computational-metabolomics |
---|---|
date | Wed, 27 Nov 2019 13:35:22 -0500 |
parents | |
children | 4207233ead9c |
comparison
equal
deleted
inserted
replaced
-1:000000000000 | 0:50eedf5ad217 |
---|---|
1 library(msPurity) | |
2 library(optparse) | |
3 print(sessionInfo()) | |
4 | |
5 option_list <- list( | |
6 make_option(c("-o", "--out_dir"), type="character"), | |
7 make_option("--mzML_files", type="character"), | |
8 make_option("--galaxy_names", type="character"), | |
9 make_option("--minOffset", default=0.5), | |
10 make_option("--maxOffset", default=0.5), | |
11 make_option("--ilim", default=0.05), | |
12 make_option("--iwNorm", default="none", type="character"), | |
13 make_option("--exclude_isotopes", action="store_true"), | |
14 make_option("--isotope_matrix", type="character"), | |
15 make_option("--mostIntense", action="store_true"), | |
16 make_option("--plotP", action="store_true"), | |
17 make_option("--nearest", action="store_true"), | |
18 make_option("--cores", default=4), | |
19 make_option("--ppmInterp", default=7) | |
20 ) | |
21 | |
22 opt <- parse_args(OptionParser(option_list=option_list)) | |
23 print(opt) | |
24 | |
25 minOffset = as.numeric(opt$minOffset) | |
26 maxOffset = as.numeric(opt$maxOffset) | |
27 | |
28 if (opt$iwNorm=='none'){ | |
29 iwNorm = FALSE | |
30 iwNormFun = NULL | |
31 }else if (opt$iwNorm=='gauss'){ | |
32 iwNorm = TRUE | |
33 iwNormFun = msPurity::iwNormGauss(minOff=-minOffset, maxOff=maxOffset) | |
34 }else if (opt$iwNorm=='rcosine'){ | |
35 iwNorm = TRUE | |
36 iwNormFun = msPurity::iwNormRcosine(minOff=-minOffset, maxOff=maxOffset) | |
37 }else if (opt$iwNorm=='QE5'){ | |
38 iwNorm = TRUE | |
39 iwNormFun = msPurity::iwNormQE.5() | |
40 } | |
41 | |
42 filepaths <- trimws(strsplit(opt$mzML_files, ',')[[1]]) | |
43 filepaths <- filepaths[filepaths != ""] | |
44 | |
45 | |
46 | |
47 if(is.null(opt$minOffset) || is.null(opt$maxOffset)){ | |
48 offsets = NA | |
49 }else{ | |
50 offsets = as.numeric(c(opt$minOffset, opt$maxOffset)) | |
51 } | |
52 | |
53 | |
54 if(is.null(opt$mostIntense)){ | |
55 mostIntense = FALSE | |
56 }else{ | |
57 mostIntense = TRUE | |
58 } | |
59 | |
60 if(is.null(opt$nearest)){ | |
61 nearest = FALSE | |
62 }else{ | |
63 nearest = TRUE | |
64 } | |
65 | |
66 if(is.null(opt$plotP)){ | |
67 plotP = FALSE | |
68 plotdir = NULL | |
69 }else{ | |
70 plotP = TRUE | |
71 plotdir = opt$out_dir | |
72 } | |
73 | |
74 | |
75 if (is.null(opt$isotope_matrix)){ | |
76 im <- NULL | |
77 }else{ | |
78 im <- read.table(opt$isotope_matrix, | |
79 header = TRUE, sep='\t', stringsAsFactors = FALSE) | |
80 } | |
81 | |
82 if (is.null(opt$exclude_isotopes)){ | |
83 isotopes <- FALSE | |
84 }else{ | |
85 isotopes <- TRUE | |
86 } | |
87 | |
88 pa <- msPurity::purityA(filepaths, | |
89 cores = opt$cores, | |
90 mostIntense = mostIntense, | |
91 nearest = nearest, | |
92 offsets = offsets, | |
93 plotP = plotP, | |
94 plotdir = plotdir, | |
95 interpol = "linear", | |
96 iwNorm = iwNorm, | |
97 iwNormFun = iwNormFun, | |
98 ilim = opt$ilim, | |
99 mzRback = "pwiz", | |
100 isotopes = isotopes, | |
101 im = im, | |
102 ppmInterp = opt$ppmInterp) | |
103 | |
104 | |
105 if (!is.null(opt$galaxy_names)){ | |
106 galaxy_names <- trimws(strsplit(opt$galaxy_names, ',')[[1]]) | |
107 galaxy_names <- galaxy_names[galaxy_names != ""] | |
108 names(pa@fileList) <- galaxy_names | |
109 } | |
110 | |
111 print(pa) | |
112 save(pa, file=file.path(opt$out_dir, 'purityA_output.RData')) | |
113 | |
114 pa@puritydf$filename <- sapply(pa@puritydf$fileid, function(x) names(pa@fileList)[as.integer(x)]) | |
115 | |
116 print(head(pa@puritydf)) | |
117 write.table(pa@puritydf, file.path(opt$out_dir, 'purityA_output.tsv'), row.names=FALSE, sep='\t') | |
118 | |
119 # removed_peaks <- data.frame(removed_peaks) | |
120 # write.table(data.frame('ID'=rownames(removed_peaks),removed_peaks), | |
121 # file.path(opt$out_dir, 'removed_peaks.txt'), row.names=FALSE, sep='\t') |