Mercurial > repos > computational-metabolomics > mspurity_flagremove
diff filterFragSpectra.R @ 0:353d48ece635 draft default tip
"planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit 2579c8746819670348c378f86116f83703c493eb"
author | computational-metabolomics |
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date | Thu, 04 Mar 2021 12:17:52 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/filterFragSpectra.R Thu Mar 04 12:17:52 2021 +0000 @@ -0,0 +1,99 @@ +library(optparse) +library(msPurity) +library(xcms) +print(sessionInfo()) + + +option_list <- list( + make_option("--out_rdata", type = "character"), + make_option("--out_peaklist_prec", type = "character"), + make_option("--out_peaklist_frag", type = "character"), + make_option("--pa", type = "character"), + + make_option("--ilim", default = 0.0), + make_option("--plim", default = 0.0), + + make_option("--ra", default = 0.0), + make_option("--snr", default = 0.0), + + make_option("--rmp", action = "store_true"), + make_option("--snmeth", default = "median", type = "character") +) + +opt <- parse_args(OptionParser(option_list = option_list)) +print(opt) + + +loadRData <- function(rdata_path, name) { + #loads an RData file, and returns the named xset object if it is there + load(rdata_path) + return(get(ls()[ls() %in% name])) +} + +# Requires +pa <- loadRData(opt$pa, "pa") + +if (is.null(opt$rmp)) { + opt$rmp <- FALSE +}else{ + opt$rmp <- TRUE +} + +pa <- filterFragSpectra(pa, + ilim = opt$ilim, + plim = opt$plim, + ra = opt$ra, + snr = opt$snr, + rmp = opt$rmp, + snmeth = opt$snmeth) + +print(pa) +save(pa, file = opt$out_rdata) + +# get the msms data for grpid from the purityA object +msmsgrp <- function(grpid, pa) { + msms <- pa@grped_ms2[grpid] + + grpinfo <- pa@grped_df[pa@grped_df$grpid == grpid, ] + + grpinfo$subsetid <- seq_len(nrow(grpinfo)) + result <- plyr::ddply(grpinfo, ~subsetid, setid, msms = msms) + return(result) +} + +# Set the relevant details +setid <- function(grpinfo_i, msms) { + msms_i <- msms[[1]][[grpinfo_i$subsetid]] + n <- nrow(msms_i) + msms_i <- data.frame(msms_i) + colnames(msms_i)[1:2] <- c("mz", "i") + m <- cbind("grpid" = rep(grpinfo_i$grpid, n), "pid" = rep(grpinfo_i$pid, n), "fileid" = rep(grpinfo_i$fileid, n), msms_i) + return(m) +} + + + +if (length(pa) > 0) { + + if (length(pa@grped_ms2) == 0) { + message("No spectra available") + } else { + + # get group ids + grpids <- unique(as.character(pa@grped_df$grpid)) + + # loop through all the group ids + df_fragments <- plyr::adply(grpids, 1, msmsgrp, pa = pa) + df_fragments <- merge(df_fragments, pa@puritydf[, c("pid", "acquisitionNum", "precursorScanNum")], by = "pid") + df_fragments <- df_fragments[order(df_fragments$grpid, df_fragments$pid, df_fragments$mz), ] + #select and reorder columns + df_fragments <- df_fragments[, c("grpid", "pid", "precursorScanNum", "acquisitionNum", "fileid", "mz", "i", "snr", "ra", "purity_pass_flag", "intensity_pass_flag", "ra_pass_flag", "snr_pass_flag", "pass_flag")] + + pa@grped_df$filename <- sapply(pa@grped_df$fileid, function(x) names(pa@fileList)[as.integer(x)]) + + print(head(pa@grped_df)) + write.table(pa@grped_df, opt$out_peaklist_prec, row.names = FALSE, sep = "\t") + print(head(df_fragments)) + write.table(df_fragments, opt$out_peaklist_frag, row.names = FALSE, sep = "\t") + } +}