Mercurial > repos > lecorguille > msnbase_readmsdata
changeset 15:7faf9b2d83f6 draft
planemo upload for repository https://github.com/workflow4metabolomics/tools-metabolomics/ commit 2cb157bd9a8701a3d6874e084032cbd050b8953e
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--- a/README.rst Mon Apr 12 09:35:02 2021 +0000 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,21 +0,0 @@ - -Changelog/News --------------- - -.. _News: https://lgatto.github.io/MSnbase/news/index.html - -**Version 2.16.1+galaxy0 - 08/04/2019** - -- UPGRADE: upgrade the MSnbase version from 2.8.2 to 2.16.1 (see MSnbase News_). Almost all the new features may not concern our usage of MSnbase. - -**Version 2.8.2.1 - 30/04/2019** - -- BUGFIX: remove the pre-compute of the chromatograms which was memory consuming. Now, only xcms plot chromatogram will generate the Chromatograms. - -**Version 2.8.2.0 - 08/04/2019** - -- UPGRADE: upgrade the MSnbase version from 2.4.0 to 2.8.2 (see MSnbase News_). Almost all the new features may not concern our usage of MSnbase. - -**Version 2.4.0.0 - 29/03/2018** - -- NEW: a new dedicated tool to read the raw data. This function was previously included in xcms.findChromPeaks. This way, you will now be able to display TICs and BPCs before xcms.findChromPeaks.
--- a/lib.r Mon Apr 12 09:35:02 2021 +0000 +++ b/lib.r Mon Sep 11 09:24:51 2023 +0000 @@ -4,12 +4,12 @@ #@author G. Le Corguille # solve an issue with batch if arguments are logical TRUE/FALSE parseCommandArgs <- function(...) { - args <- batch::parseCommandArgs(...) - for (key in names(args)) { - if (args[key] %in% c("TRUE", "FALSE")) - args[key] <- as.logical(args[key]) - } - return(args) + args <- batch::parseCommandArgs(...) + for (key in names(args)) { + if (args[key] %in% c("TRUE", "FALSE")) + args[key] <- as.logical(args[key]) + } + return(args) } #@author G. Le Corguille @@ -17,237 +17,247 @@ # - load the packages # - display the sessionInfo loadAndDisplayPackages <- function(pkgs) { - for (pkg in pkgs) suppressPackageStartupMessages(stopifnot(library(pkg, quietly = TRUE, logical.return = TRUE, character.only = TRUE))) + for (pkg in pkgs) suppressPackageStartupMessages(stopifnot(library(pkg, quietly = TRUE, logical.return = TRUE, character.only = TRUE))) - sessioninfo <- sessionInfo() - cat(sessioninfo$R.version$version.string, "\n") - cat("Main packages:\n") - for (pkg in names(sessioninfo$otherPkgs)) { - cat(paste(pkg, packageVersion(pkg)), "\t") - } - cat("\n") - cat("Other loaded packages:\n") - for (pkg in names(sessioninfo$loadedOnly)) { - cat(paste(pkg, packageVersion(pkg)), "\t") - } - cat("\n") + sessioninfo <- sessionInfo() + cat(sessioninfo$R.version$version.string, "\n") + cat("Main packages:\n") + for (pkg in names(sessioninfo$otherPkgs)) { + cat(paste(pkg, packageVersion(pkg)), "\t") + } + cat("\n") + cat("Other loaded packages:\n") + for (pkg in names(sessioninfo$loadedOnly)) { + cat(paste(pkg, packageVersion(pkg)), "\t") + } + cat("\n") } #@author G. Le Corguille # This function merge several chromBPI or chromTIC into one. mergeChrom <- function(chrom_merged, chrom) { - if (is.null(chrom_merged)) return(NULL) - chrom_merged@.Data <- cbind(chrom_merged@.Data, chrom@.Data) - return(chrom_merged) + if (is.null(chrom_merged)) return(NULL) + chrom_merged@.Data <- cbind(chrom_merged@.Data, chrom@.Data) + return(chrom_merged) } #@author G. Le Corguille # This function merge several xdata into one. mergeXData <- function(args) { - chromTIC <- NULL - chromBPI <- NULL - chromTIC_adjusted <- NULL - chromBPI_adjusted <- NULL - md5sumList <- NULL - for (image in args$images) { + chromTIC <- NULL + chromBPI <- NULL + chromTIC_adjusted <- NULL + chromBPI_adjusted <- NULL + md5sumList <- NULL + for (image in args$images) { - load(image) - # Handle infiles - if (!exists("singlefile")) singlefile <- NULL - if (!exists("zipfile")) zipfile <- NULL - rawFilePath <- retrieveRawfileInTheWorkingDir(singlefile, zipfile, args) - zipfile <- rawFilePath$zipfile - singlefile <- rawFilePath$singlefile + load(image) + # Handle infiles + if (!exists("singlefile")) singlefile <- NULL + if (!exists("zipfile")) zipfile <- NULL + rawFilePath <- retrieveRawfileInTheWorkingDir(singlefile, zipfile, args) + zipfile <- rawFilePath$zipfile + singlefile <- rawFilePath$singlefile - if (exists("raw_data")) xdata <- raw_data - if (!exists("xdata")) stop("\n\nERROR: The RData doesn't contain any object called 'xdata'. This RData should have been created by an old version of XMCS 2.*") + if (exists("raw_data")) xdata <- raw_data + if (!exists("xdata")) stop("\n\nERROR: The RData doesn't contain any object called 'xdata'. This RData should have been created by an old version of XMCS 2.*") - cat(sampleNamesList$sampleNamesOrigin, "\n") + cat(sampleNamesList$sampleNamesOrigin, "\n") - if (!exists("xdata_merged")) { - xdata_merged <- xdata - singlefile_merged <- singlefile - md5sumList_merged <- md5sumList - sampleNamesList_merged <- sampleNamesList - chromTIC_merged <- chromTIC - chromBPI_merged <- chromBPI - chromTIC_adjusted_merged <- chromTIC_adjusted - chromBPI_adjusted_merged <- chromBPI_adjusted - } else { - if (is(xdata, "XCMSnExp")) xdata_merged <- c(xdata_merged, xdata) - else if (is(xdata, "OnDiskMSnExp")) xdata_merged <- xcms:::.concatenate_OnDiskMSnExp(xdata_merged, xdata) - else stop("\n\nERROR: The RData either a OnDiskMSnExp object called raw_data or a XCMSnExp object called xdata") + if (!exists("xdata_merged")) { + xdata_merged <- xdata + singlefile_merged <- singlefile + md5sumList_merged <- md5sumList + sampleNamesList_merged <- sampleNamesList + chromTIC_merged <- chromTIC + chromBPI_merged <- chromBPI + chromTIC_adjusted_merged <- chromTIC_adjusted + chromBPI_adjusted_merged <- chromBPI_adjusted + } else { + if (is(xdata, "XCMSnExp")) xdata_merged <- c(xdata_merged, xdata) + else if (is(xdata, "OnDiskMSnExp")) xdata_merged <- xcms:::.concatenate_OnDiskMSnExp(xdata_merged, xdata) + else stop("\n\nERROR: The RData either a OnDiskMSnExp object called raw_data or a XCMSnExp object called xdata") - singlefile_merged <- c(singlefile_merged, singlefile) - md5sumList_merged$origin <- rbind(md5sumList_merged$origin, md5sumList$origin) - sampleNamesList_merged$sampleNamesOrigin <- c(sampleNamesList_merged$sampleNamesOrigin, sampleNamesList$sampleNamesOrigin) - sampleNamesList_merged$sampleNamesMakeNames <- c(sampleNamesList_merged$sampleNamesMakeNames, sampleNamesList$sampleNamesMakeNames) - chromTIC_merged <- mergeChrom(chromTIC_merged, chromTIC) - chromBPI_merged <- mergeChrom(chromBPI_merged, chromBPI) - chromTIC_adjusted_merged <- mergeChrom(chromTIC_adjusted_merged, chromTIC_adjusted) - chromBPI_adjusted_merged <- mergeChrom(chromBPI_adjusted_merged, chromBPI_adjusted) - } + singlefile_merged <- c(singlefile_merged, singlefile) + md5sumList_merged$origin <- rbind(md5sumList_merged$origin, md5sumList$origin) + sampleNamesList_merged$sampleNamesOrigin <- c(sampleNamesList_merged$sampleNamesOrigin, sampleNamesList$sampleNamesOrigin) + sampleNamesList_merged$sampleNamesMakeNames <- c(sampleNamesList_merged$sampleNamesMakeNames, sampleNamesList$sampleNamesMakeNames) + chromTIC_merged <- mergeChrom(chromTIC_merged, chromTIC) + chromBPI_merged <- mergeChrom(chromBPI_merged, chromBPI) + chromTIC_adjusted_merged <- mergeChrom(chromTIC_adjusted_merged, chromTIC_adjusted) + chromBPI_adjusted_merged <- mergeChrom(chromBPI_adjusted_merged, chromBPI_adjusted) } - rm(image) - xdata <- xdata_merged; rm(xdata_merged) - singlefile <- singlefile_merged; rm(singlefile_merged) - md5sumList <- md5sumList_merged; rm(md5sumList_merged) - sampleNamesList <- sampleNamesList_merged; rm(sampleNamesList_merged) + } + rm(image) + xdata <- xdata_merged + rm(xdata_merged) + singlefile <- singlefile_merged + rm(singlefile_merged) + md5sumList <- md5sumList_merged + rm(md5sumList_merged) + sampleNamesList <- sampleNamesList_merged + rm(sampleNamesList_merged) - if (!is.null(args$sampleMetadata)) { - cat("\tXSET PHENODATA SETTING...\n") - sampleMetadataFile <- args$sampleMetadata - sampleMetadata <- getDataFrameFromFile(sampleMetadataFile, header = F) - xdata@phenoData@data$sample_group <- sampleMetadata$V2[match(xdata@phenoData@data$sample_name, sampleMetadata$V1)] + if (!is.null(args$sampleMetadata)) { + cat("\tXSET PHENODATA SETTING...\n") + sampleMetadataFile <- args$sampleMetadata + sampleMetadata <- getDataFrameFromFile(sampleMetadataFile, header = FALSE) + xdata@phenoData@data$sample_group <- sampleMetadata$V2[match(xdata@phenoData@data$sample_name, sampleMetadata$V1)] - if (any(is.na(pData(xdata)$sample_group))) { - sample_missing <- pData(xdata)$sample_name[is.na(pData(xdata)$sample_group)] - error_message <- paste("Those samples are missing in your sampleMetadata:", paste(sample_missing, collapse = " ")) - print(error_message) - stop(error_message) - } - } - - if (!is.null(chromTIC_merged)) { - chromTIC <- chromTIC_merged; chromTIC@phenoData <- xdata@phenoData + if (any(is.na(pData(xdata)$sample_group))) { + sample_missing <- pData(xdata)$sample_name[is.na(pData(xdata)$sample_group)] + error_message <- paste("Those samples are missing in your sampleMetadata:", paste(sample_missing, collapse = " ")) + print(error_message) + stop(error_message) } - if (!is.null(chromBPI_merged)) { - chromBPI <- chromBPI_merged; chromBPI@phenoData <- xdata@phenoData - } - if (!is.null(chromTIC_adjusted_merged)) { - chromTIC_adjusted <- chromTIC_adjusted_merged; chromTIC_adjusted@phenoData <- xdata@phenoData - } - if (!is.null(chromBPI_adjusted_merged)) { - chromBPI_adjusted <- chromBPI_adjusted_merged; chromBPI_adjusted@phenoData <- xdata@phenoData - } + } - return(list("xdata" = xdata, "singlefile" = singlefile, "md5sumList" = md5sumList, "sampleNamesList" = sampleNamesList, "chromTIC" = chromTIC, "chromBPI" = chromBPI, "chromTIC_adjusted" = chromTIC_adjusted, "chromBPI_adjusted" = chromBPI_adjusted)) + if (!is.null(chromTIC_merged)) { + chromTIC <- chromTIC_merged + chromTIC@phenoData <- xdata@phenoData + } + if (!is.null(chromBPI_merged)) { + chromBPI <- chromBPI_merged + chromBPI@phenoData <- xdata@phenoData + } + if (!is.null(chromTIC_adjusted_merged)) { + chromTIC_adjusted <- chromTIC_adjusted_merged + chromTIC_adjusted@phenoData <- xdata@phenoData + } + if (!is.null(chromBPI_adjusted_merged)) { + chromBPI_adjusted <- chromBPI_adjusted_merged + chromBPI_adjusted@phenoData <- xdata@phenoData + } + + return(list("xdata" = xdata, "singlefile" = singlefile, "md5sumList" = md5sumList, "sampleNamesList" = sampleNamesList, "chromTIC" = chromTIC, "chromBPI" = chromBPI, "chromTIC_adjusted" = chromTIC_adjusted, "chromBPI_adjusted" = chromBPI_adjusted)) } #@author G. Le Corguille # This function convert if it is required the Retention Time in minutes RTSecondToMinute <- function(variableMetadata, convertRTMinute) { - if (convertRTMinute) { - #converting the retention times (seconds) into minutes - print("converting the retention times into minutes in the variableMetadata") - variableMetadata[, "rt"] <- variableMetadata[, "rt"] / 60 - variableMetadata[, "rtmin"] <- variableMetadata[, "rtmin"] / 60 - variableMetadata[, "rtmax"] <- variableMetadata[, "rtmax"] / 60 - } - return(variableMetadata) + if (convertRTMinute) { + #converting the retention times (seconds) into minutes + print("converting the retention times into minutes in the variableMetadata") + variableMetadata[, "rt"] <- variableMetadata[, "rt"] / 60 + variableMetadata[, "rtmin"] <- variableMetadata[, "rtmin"] / 60 + variableMetadata[, "rtmax"] <- variableMetadata[, "rtmax"] / 60 + } + return(variableMetadata) } #@author G. Le Corguille # This function format ions identifiers formatIonIdentifiers <- function(variableMetadata, numDigitsRT = 0, numDigitsMZ = 0) { - splitDeco <- strsplit(as.character(variableMetadata$name), "_") - idsDeco <- sapply(splitDeco, - function(x) { - deco <- unlist(x)[2]; if (is.na(deco)) return("") else return(paste0("_", deco)) - } - ) - namecustom <- make.unique(paste0("M", round(variableMetadata[, "mz"], numDigitsMZ), "T", round(variableMetadata[, "rt"], numDigitsRT), idsDeco)) - variableMetadata <- cbind(name = variableMetadata$name, namecustom = namecustom, variableMetadata[, !(colnames(variableMetadata) %in% c("name"))]) - return(variableMetadata) + splitDeco <- strsplit(as.character(variableMetadata$name), "_") + idsDeco <- sapply(splitDeco, + function(x) { + deco <- unlist(x)[2] + if (is.na(deco)) return("") else return(paste0("_", deco)) + } + ) + namecustom <- make.unique(paste0("M", round(variableMetadata[, "mz"], numDigitsMZ), "T", round(variableMetadata[, "rt"], numDigitsRT), idsDeco)) + variableMetadata <- cbind(name = variableMetadata$name, namecustom = namecustom, variableMetadata[, !(colnames(variableMetadata) %in% c("name"))]) + return(variableMetadata) } #@author G. Le Corguille # This function convert the remain NA to 0 in the dataMatrix naTOzeroDataMatrix <- function(dataMatrix, naTOzero) { - if (naTOzero) { - dataMatrix[is.na(dataMatrix)] <- 0 - } - return(dataMatrix) + if (naTOzero) { + dataMatrix[is.na(dataMatrix)] <- 0 + } + return(dataMatrix) } #@author G. Le Corguille # Draw the plotChromPeakDensity 3 per page in a pdf file getPlotChromPeakDensity <- function(xdata, param = NULL, mzdigit = 4) { - pdf(file = "plotChromPeakDensity.pdf", width = 16, height = 12) + pdf(file = "plotChromPeakDensity.pdf", width = 16, height = 12) - par(mfrow = c(3, 1), mar = c(4, 4, 1, 0.5)) + par(mfrow = c(3, 1), mar = c(4, 4, 1, 0.5)) - if (length(unique(xdata$sample_group)) < 10) { - group_colors <- brewer.pal(length(unique(xdata$sample_group)), "Set1") - }else{ - group_colors <- hcl.colors(length(unique(xdata$sample_group)), palette = "Dark 3") - } - names(group_colors) <- unique(xdata$sample_group) - col_per_samp <- as.character(xdata$sample_group) - for (i in seq_len(length(group_colors))) { - col_per_samp[col_per_samp == (names(group_colors)[i])] <- group_colors[i] - } + if (length(unique(xdata$sample_group)) < 10) { + group_colors <- brewer.pal(length(unique(xdata$sample_group)), "Set1") + } else { + group_colors <- hcl.colors(length(unique(xdata$sample_group)), palette = "Dark 3") + } + names(group_colors) <- unique(xdata$sample_group) + col_per_samp <- as.character(xdata$sample_group) + for (i in seq_len(length(group_colors))) { + col_per_samp[col_per_samp == (names(group_colors)[i])] <- group_colors[i] + } - xlim <- c(min(featureDefinitions(xdata)$rtmin), max(featureDefinitions(xdata)$rtmax)) - for (i in seq_len(nrow(featureDefinitions(xdata)))) { - mzmin <- featureDefinitions(xdata)[i, ]$mzmin - mzmax <- featureDefinitions(xdata)[i, ]$mzmax - plotChromPeakDensity(xdata, param = param, mz = c(mzmin, mzmax), col = col_per_samp, pch = 16, xlim = xlim, main = paste(round(mzmin, mzdigit), round(mzmax, mzdigit))) - legend("topright", legend = names(group_colors), col = group_colors, cex = 0.8, lty = 1) - } + xlim <- c(min(featureDefinitions(xdata)$rtmin), max(featureDefinitions(xdata)$rtmax)) + for (i in seq_len(nrow(featureDefinitions(xdata)))) { + mzmin <- featureDefinitions(xdata)[i, ]$mzmin + mzmax <- featureDefinitions(xdata)[i, ]$mzmax + plotChromPeakDensity(xdata, param = param, mz = c(mzmin, mzmax), col = col_per_samp, pch = 16, xlim = xlim, main = paste(round(mzmin, mzdigit), round(mzmax, mzdigit))) + legend("topright", legend = names(group_colors), col = group_colors, cex = 0.8, lty = 1) + } - dev.off() + dev.off() } #@author G. Le Corguille # Draw the plotChromPeakDensity 3 per page in a pdf file getPlotAdjustedRtime <- function(xdata) { - pdf(file = "raw_vs_adjusted_rt.pdf", width = 16, height = 12) + pdf(file = "raw_vs_adjusted_rt.pdf", width = 16, height = 12) - # Color by group - if (length(unique(xdata$sample_group)) < 10) { - group_colors <- brewer.pal(length(unique(xdata$sample_group)), "Set1") - } else { - group_colors <- hcl.colors(length(unique(xdata$sample_group)), palette = "Dark 3") - } - if (length(group_colors) > 1) { - names(group_colors) <- unique(xdata$sample_group) - plotAdjustedRtime(xdata, col = group_colors[xdata$sample_group]) - legend("topright", legend = names(group_colors), col = group_colors, cex = 0.8, lty = 1) - } + # Color by group + if (length(unique(xdata$sample_group)) < 10) { + group_colors <- brewer.pal(length(unique(xdata$sample_group)), "Set1") + } else { + group_colors <- hcl.colors(length(unique(xdata$sample_group)), palette = "Dark 3") + } + if (length(group_colors) > 1) { + names(group_colors) <- unique(xdata$sample_group) + plotAdjustedRtime(xdata, col = group_colors[xdata$sample_group]) + legend("topright", legend = names(group_colors), col = group_colors, cex = 0.8, lty = 1) + } - # Color by sample - plotAdjustedRtime(xdata, col = rainbow(length(xdata@phenoData@data$sample_name))) - legend("topright", legend = xdata@phenoData@data$sample_name, col = rainbow(length(xdata@phenoData@data$sample_name)), cex = 0.8, lty = 1) + # Color by sample + plotAdjustedRtime(xdata, col = rainbow(length(xdata@phenoData@data$sample_name))) + legend("topright", legend = xdata@phenoData@data$sample_name, col = rainbow(length(xdata@phenoData@data$sample_name)), cex = 0.8, lty = 1) - dev.off() + dev.off() } #@author G. Le Corguille # value: intensity values to be used into, maxo or intb -getPeaklistW4M <- function(xdata, intval = "into", convertRTMinute = F, numDigitsMZ = 4, numDigitsRT = 0, naTOzero = T, variableMetadataOutput, dataMatrixOutput, sampleNamesList) { - dataMatrix <- featureValues(xdata, method = "medret", value = intval) - colnames(dataMatrix) <- make.names(tools::file_path_sans_ext(colnames(dataMatrix))) - dataMatrix <- cbind(name = groupnames(xdata), dataMatrix) - variableMetadata <- featureDefinitions(xdata) - colnames(variableMetadata)[1] <- "mz"; colnames(variableMetadata)[4] <- "rt" - variableMetadata <- data.frame(name = groupnames(xdata), variableMetadata) +getPeaklistW4M <- function(xdata, intval = "into", convertRTMinute = FALSE, numDigitsMZ = 4, numDigitsRT = 0, naTOzero = TRUE, variableMetadataOutput, dataMatrixOutput, sampleNamesList) { + dataMatrix <- featureValues(xdata, method = "medret", value = intval) + colnames(dataMatrix) <- make.names(tools::file_path_sans_ext(colnames(dataMatrix))) + dataMatrix <- cbind(name = groupnames(xdata), dataMatrix) + variableMetadata <- featureDefinitions(xdata) + colnames(variableMetadata)[1] <- "mz" + colnames(variableMetadata)[4] <- "rt" + variableMetadata <- data.frame(name = groupnames(xdata), variableMetadata) - variableMetadata <- RTSecondToMinute(variableMetadata, convertRTMinute) - variableMetadata <- formatIonIdentifiers(variableMetadata, numDigitsRT = numDigitsRT, numDigitsMZ = numDigitsMZ) - dataMatrix <- naTOzeroDataMatrix(dataMatrix, naTOzero) + variableMetadata <- RTSecondToMinute(variableMetadata, convertRTMinute) + variableMetadata <- formatIonIdentifiers(variableMetadata, numDigitsRT = numDigitsRT, numDigitsMZ = numDigitsMZ) + dataMatrix <- naTOzeroDataMatrix(dataMatrix, naTOzero) - # FIX: issue when the vector at peakidx is too long and is written in a new line during the export - variableMetadata[, "peakidx"] <- vapply(variableMetadata[, "peakidx"], FUN = paste, FUN.VALUE = character(1), collapse = ",") + # FIX: issue when the vector at peakidx is too long and is written in a new line during the export + variableMetadata[, "peakidx"] <- vapply(variableMetadata[, "peakidx"], FUN = paste, FUN.VALUE = character(1), collapse = ",") - write.table(variableMetadata, file = variableMetadataOutput, sep = "\t", quote = F, row.names = F) - write.table(dataMatrix, file = dataMatrixOutput, sep = "\t", quote = F, row.names = F) + write.table(variableMetadata, file = variableMetadataOutput, sep = "\t", quote = FALSE, row.names = FALSE) + write.table(dataMatrix, file = dataMatrixOutput, sep = "\t", quote = FALSE, row.names = FALSE) } #@author G. Le Corguille # It allow different of field separators -getDataFrameFromFile <- function(filename, header = T) { - myDataFrame <- read.table(filename, header = header, sep = ";", stringsAsFactors = F) - if (ncol(myDataFrame) < 2) myDataFrame <- read.table(filename, header = header, sep = "\t", stringsAsFactors = F) - if (ncol(myDataFrame) < 2) myDataFrame <- read.table(filename, header = header, sep = ",", stringsAsFactors = F) - if (ncol(myDataFrame) < 2) { - error_message <- "Your tabular file seems not well formatted. The column separators accepted are ; , and tabulation" - print(error_message) - stop(error_message) - } - return(myDataFrame) +getDataFrameFromFile <- function(filename, header = TRUE) { + myDataFrame <- read.table(filename, header = header, sep = ";", stringsAsFactors = FALSE) + if (ncol(myDataFrame) < 2) myDataFrame <- read.table(filename, header = header, sep = "\t", stringsAsFactors = FALSE) + if (ncol(myDataFrame) < 2) myDataFrame <- read.table(filename, header = header, sep = ",", stringsAsFactors = FALSE) + if (ncol(myDataFrame) < 2) { + error_message <- "Your tabular file seems not well formatted. The column separators accepted are ; , and tabulation" + print(error_message) + stop(error_message) + } + return(myDataFrame) } #@author G. Le Corguille @@ -255,36 +265,36 @@ # colored by sample names or class names getPlotChromatogram <- function(chrom, xdata, pdfname = "Chromatogram.pdf", aggregationFun = "max") { - if (aggregationFun == "sum") - type <- "Total Ion Chromatograms" - else - type <- "Base Peak Intensity Chromatograms" + if (aggregationFun == "sum") + type <- "Total Ion Chromatograms" + else + type <- "Base Peak Intensity Chromatograms" - adjusted <- "Raw" - if (hasAdjustedRtime(xdata)) - adjusted <- "Adjusted" + adjusted <- "Raw" + if (hasAdjustedRtime(xdata)) + adjusted <- "Adjusted" - main <- paste(type, ":", adjusted, "data") + main <- paste(type, ":", adjusted, "data") - pdf(pdfname, width = 16, height = 10) + pdf(pdfname, width = 16, height = 10) - # Color by group - if (length(unique(xdata$sample_group)) < 10) { - group_colors <- brewer.pal(length(unique(xdata$sample_group)), "Set1") - }else{ - group_colors <- hcl.colors(length(unique(xdata$sample_group)), palette = "Dark 3") - } - if (length(group_colors) > 1) { - names(group_colors) <- unique(xdata$sample_group) - plot(chrom, col = group_colors[chrom$sample_group], main = main, peakType = "none") - legend("topright", legend = names(group_colors), col = group_colors, cex = 0.8, lty = 1) - } + # Color by group + if (length(unique(xdata$sample_group)) < 10) { + group_colors <- brewer.pal(length(unique(xdata$sample_group)), "Set1") + } else { + group_colors <- hcl.colors(length(unique(xdata$sample_group)), palette = "Dark 3") + } + if (length(group_colors) > 1) { + names(group_colors) <- unique(xdata$sample_group) + plot(chrom, col = group_colors[chrom$sample_group], main = main, peakType = "none") + legend("topright", legend = names(group_colors), col = group_colors, cex = 0.8, lty = 1) + } - # Color by sample - plot(chrom, col = rainbow(length(xdata@phenoData@data$sample_name)), main = main, peakType = "none") - legend("topright", legend = xdata@phenoData@data$sample_name, col = rainbow(length(xdata@phenoData@data$sample_name)), cex = 0.8, lty = 1) + # Color by sample + plot(chrom, col = rainbow(length(xdata@phenoData@data$sample_name)), main = main, peakType = "none") + legend("topright", legend = xdata@phenoData@data$sample_name, col = rainbow(length(xdata@phenoData@data$sample_name)), cex = 0.8, lty = 1) - dev.off() + dev.off() } @@ -292,61 +302,61 @@ #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM getSampleMetadata <- function(xdata = NULL, sampleMetadataOutput = "sampleMetadata.tsv") { - cat("Creating the sampleMetadata file...\n") + cat("Creating the sampleMetadata file...\n") - #Create the sampleMetada dataframe - sampleMetadata <- xdata@phenoData@data - rownames(sampleMetadata) <- NULL - colnames(sampleMetadata) <- c("sample_name", "class") + #Create the sampleMetada dataframe + sampleMetadata <- xdata@phenoData@data + rownames(sampleMetadata) <- NULL + colnames(sampleMetadata) <- c("sample_name", "class") - sampleNamesOrigin <- sampleMetadata$sample_name - sampleNamesMakeNames <- make.names(sampleNamesOrigin) + sampleNamesOrigin <- sampleMetadata$sample_name + sampleNamesMakeNames <- make.names(sampleNamesOrigin) - if (any(duplicated(sampleNamesMakeNames))) { - write("\n\nERROR: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names().\nIn your case, at least two columns after the renaming obtain the same name, thus XCMS will collapse those columns per name.", stderr()) - for (sampleName in sampleNamesOrigin) { - write(paste(sampleName, "\t->\t", make.names(sampleName)), stderr()) - } - stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.") + if (any(duplicated(sampleNamesMakeNames))) { + write("\n\nERROR: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names().\nIn your case, at least two columns after the renaming obtain the same name, thus XCMS will collapse those columns per name.", stderr()) + for (sampleName in sampleNamesOrigin) { + write(paste(sampleName, "\t->\t", make.names(sampleName)), stderr()) } + stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.") + } - if (!all(sampleNamesOrigin == sampleNamesMakeNames)) { - cat("\n\nWARNING: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names()\nIn your case, one or more sample names will be renamed in the sampleMetadata and dataMatrix files:\n") - for (sampleName in sampleNamesOrigin) { - cat(paste(sampleName, "\t->\t", make.names(sampleName), "\n")) - } + if (!all(sampleNamesOrigin == sampleNamesMakeNames)) { + cat("\n\nWARNING: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names()\nIn your case, one or more sample names will be renamed in the sampleMetadata and dataMatrix files:\n") + for (sampleName in sampleNamesOrigin) { + cat(paste(sampleName, "\t->\t", make.names(sampleName), "\n")) } + } - sampleMetadata$sample_name <- sampleNamesMakeNames + sampleMetadata$sample_name <- sampleNamesMakeNames - #For each sample file, the following actions are done - for (fileIdx in seq_len(length(fileNames(xdata)))) { - #Check if the file is in the CDF format - if (!mzR:::netCDFIsFile(fileNames(xdata))) { + #For each sample file, the following actions are done + for (fileIdx in seq_len(length(fileNames(xdata)))) { + #Check if the file is in the CDF format + if (!mzR:::netCDFIsFile(fileNames(xdata))) { - # If the column isn't exist, with add one filled with NA - if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity <- NA + # If the column isn't exist, with add one filled with NA + if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity <- NA - #Extract the polarity (a list of polarities) - polarity <- fData(xdata)[fData(xdata)$fileIdx == fileIdx, "polarity"] - #Verify if all the scans have the same polarity - uniq_list <- unique(polarity) - if (length(uniq_list) > 1) { - polarity <- "mixed" - } else { - polarity <- as.character(uniq_list) - } + #Extract the polarity (a list of polarities) + polarity <- fData(xdata)[fData(xdata)$fileIdx == fileIdx, "polarity"] + #Verify if all the scans have the same polarity + uniq_list <- unique(polarity) + if (length(uniq_list) > 1) { + polarity <- "mixed" + } else { + polarity <- as.character(uniq_list) + } - #Set the polarity attribute - sampleMetadata$polarity[fileIdx] <- polarity - } - + #Set the polarity attribute + sampleMetadata$polarity[fileIdx] <- polarity } - write.table(sampleMetadata, sep = "\t", quote = FALSE, row.names = FALSE, file = sampleMetadataOutput) + } - return(list("sampleNamesOrigin" = sampleNamesOrigin, "sampleNamesMakeNames" = sampleNamesMakeNames)) + write.table(sampleMetadata, sep = "\t", quote = FALSE, row.names = FALSE, file = sampleMetadataOutput) + + return(list("sampleNamesOrigin" = sampleNamesOrigin, "sampleNamesMakeNames" = sampleNamesMakeNames)) } @@ -354,9 +364,9 @@ # This function will compute MD5 checksum to check the data integrity #@author Gildas Le Corguille lecorguille@sb-roscoff.fr getMd5sum <- function(files) { - cat("Compute md5 checksum...\n") - library(tools) - return(as.matrix(md5sum(files))) + cat("Compute md5 checksum...\n") + library(tools) + return(as.matrix(md5sum(files))) } # This function retrieve the raw file in the working directory @@ -365,87 +375,87 @@ #@author Gildas Le Corguille lecorguille@sb-roscoff.fr retrieveRawfileInTheWorkingDir <- function(singlefile, zipfile, args, prefix = "") { - if (!(prefix %in% c("", "Positive", "Negative", "MS1", "MS2"))) stop("prefix must be either '', 'Positive', 'Negative', 'MS1' or 'MS2'") + if (!(prefix %in% c("", "Positive", "Negative", "MS1", "MS2"))) stop("prefix must be either '', 'Positive', 'Negative', 'MS1' or 'MS2'") - # single - if the file are passed in the command arguments -> refresh singlefile - if (!is.null(args[[paste0("singlefile_galaxyPath", prefix)]])) { - singlefile_galaxyPaths <- unlist(strsplit(args[[paste0("singlefile_galaxyPath", prefix)]], "\\|")) - singlefile_sampleNames <- unlist(strsplit(args[[paste0("singlefile_sampleName", prefix)]], "\\|")) + # single - if the file are passed in the command arguments -> refresh singlefile + if (!is.null(args[[paste0("singlefile_galaxyPath", prefix)]])) { + singlefile_galaxyPaths <- unlist(strsplit(args[[paste0("singlefile_galaxyPath", prefix)]], "\\|")) + singlefile_sampleNames <- unlist(strsplit(args[[paste0("singlefile_sampleName", prefix)]], "\\|")) - singlefile <- NULL - for (singlefile_galaxyPath_i in seq_len(length(singlefile_galaxyPaths))) { - singlefile_galaxyPath <- singlefile_galaxyPaths[singlefile_galaxyPath_i] - singlefile_sampleName <- singlefile_sampleNames[singlefile_galaxyPath_i] - # In case, an url is used to import data within Galaxy - singlefile_sampleName <- tail(unlist(strsplit(singlefile_sampleName, "/")), n = 1) - singlefile[[singlefile_sampleName]] <- singlefile_galaxyPath + singlefile <- NULL + for (singlefile_galaxyPath_i in seq_len(length(singlefile_galaxyPaths))) { + singlefile_galaxyPath <- singlefile_galaxyPaths[singlefile_galaxyPath_i] + singlefile_sampleName <- singlefile_sampleNames[singlefile_galaxyPath_i] + # In case, an url is used to import data within Galaxy + singlefile_sampleName <- tail(unlist(strsplit(singlefile_sampleName, "/")), n = 1) + singlefile[[singlefile_sampleName]] <- singlefile_galaxyPath + } + } + # zipfile - if the file are passed in the command arguments -> refresh zipfile + if (!is.null(args[[paste0("zipfile", prefix)]])) + zipfile <- args[[paste0("zipfile", prefix)]] + + # single + if (!is.null(singlefile) && (length("singlefile") > 0)) { + files <- vector() + for (singlefile_sampleName in names(singlefile)) { + singlefile_galaxyPath <- singlefile[[singlefile_sampleName]] + if (!file.exists(singlefile_galaxyPath)) { + error_message <- paste("Cannot access the sample:", singlefile_sampleName, "located:", singlefile_galaxyPath, ". Please, contact your administrator ... if you have one!") + print(error_message) + stop(error_message) } - } - # zipfile - if the file are passed in the command arguments -> refresh zipfile - if (!is.null(args[[paste0("zipfile", prefix)]])) - zipfile <- args[[paste0("zipfile", prefix)]] - - # single - if (!is.null(singlefile) && (length("singlefile") > 0)) { - files <- vector() - for (singlefile_sampleName in names(singlefile)) { - singlefile_galaxyPath <- singlefile[[singlefile_sampleName]] - if (!file.exists(singlefile_galaxyPath)) { - error_message <- paste("Cannot access the sample:", singlefile_sampleName, "located:", singlefile_galaxyPath, ". Please, contact your administrator ... if you have one!") - print(error_message); stop(error_message) - } - if (!suppressWarnings(try(file.link(singlefile_galaxyPath, singlefile_sampleName), silent = T))) - file.copy(singlefile_galaxyPath, singlefile_sampleName) - files <- c(files, singlefile_sampleName) - } + if (!suppressWarnings(try(file.link(singlefile_galaxyPath, singlefile_sampleName), silent = TRUE))) + file.copy(singlefile_galaxyPath, singlefile_sampleName) + files <- c(files, singlefile_sampleName) } - # zipfile - if (!is.null(zipfile) && (zipfile != "")) { - if (!file.exists(zipfile)) { - error_message <- paste("Cannot access the Zip file:", zipfile, ". Please, contact your administrator ... if you have one!") - print(error_message) - stop(error_message) - } - suppressWarnings(unzip(zipfile, unzip = "unzip")) + } + # zipfile + if (!is.null(zipfile) && (zipfile != "")) { + if (!file.exists(zipfile)) { + error_message <- paste("Cannot access the Zip file:", zipfile, ". Please, contact your administrator ... if you have one!") + print(error_message) + stop(error_message) + } + suppressWarnings(unzip(zipfile, unzip = "unzip")) - #get the directory name - suppressWarnings(filesInZip <- unzip(zipfile, list = T)) - directories <- unique(unlist(lapply(strsplit(filesInZip$Name, "/"), function(x) x[1]))) - directories <- directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir] - directory <- "." - if (length(directories) == 1) directory <- directories + #get the directory name + suppressWarnings(filesInZip <- unzip(zipfile, list = TRUE)) + directories <- unique(unlist(lapply(strsplit(filesInZip$Name, "/"), function(x) x[1]))) + directories <- directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir] + directory <- "." + if (length(directories) == 1) directory <- directories - cat("files_root_directory\t", directory, "\n") + cat("files_root_directory\t", directory, "\n") - filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]", "[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") - filepattern <- paste(paste("\\.", filepattern, "$", sep = ""), collapse = "|") - info <- file.info(directory) - listed <- list.files(directory[info$isdir], pattern = filepattern, recursive = TRUE, full.names = TRUE) - files <- c(directory[!info$isdir], listed) - exists <- file.exists(files) - files <- files[exists] + filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]", "[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") + filepattern <- paste(paste("\\.", filepattern, "$", sep = ""), collapse = "|") + info <- file.info(directory) + listed <- list.files(directory[info$isdir], pattern = filepattern, recursive = TRUE, full.names = TRUE) + files <- c(directory[!info$isdir], listed) + exists <- file.exists(files) + files <- files[exists] - } - return(list(zipfile = zipfile, singlefile = singlefile, files = files)) - + } + return(list(zipfile = zipfile, singlefile = singlefile, files = files)) } # This function retrieve a xset like object #@author Gildas Le Corguille lecorguille@sb-roscoff.fr getxcmsSetObject <- function(xobject) { - # XCMS 1.x - if (class(xobject) == "xcmsSet") - return(xobject) - # XCMS 3.x - if (class(xobject) == "XCMSnExp") { - # Get the legacy xcmsSet object - suppressWarnings(xset <- as(xobject, "xcmsSet")) - if (!is.null(xset@phenoData$sample_group)) - sampclass(xset) <- xset@phenoData$sample_group - else - sampclass(xset) <- "." - return(xset) - } + # XCMS 1.x + if (class(xobject) == "xcmsSet") + return(xobject) + # XCMS 3.x + if (class(xobject) == "XCMSnExp") { + # Get the legacy xcmsSet object + suppressWarnings(xset <- as(xobject, "xcmsSet")) + if (!is.null(xset@phenoData$sample_group)) + sampclass(xset) <- xset@phenoData$sample_group + else + sampclass(xset) <- "." + return(xset) + } }
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/macros_xcms.xml Mon Sep 11 09:24:51 2023 +0000 @@ -0,0 +1,277 @@ +<?xml version="1.0"?> +<macros> + + <token name="@TOOL_VERSION@">3.12.0</token> + <token name="@VERSION_SUFFIX@">1</token> + <token name="@PROFILE@">21.09</token> + <xml name="requirements"> + <requirements> + <requirement type="package" version="@TOOL_VERSION@">bioconductor-xcms</requirement> + <requirement type="package" version="1.1_5">r-batch</requirement> + <requirement type="package" version="1.1_2">r-rcolorbrewer</requirement> + <requirement type="package" version="6.0">unzip</requirement> + <yield /> + </requirements> + </xml> + + <!-- FILE_LOAD for planemo test --> + <token name="@COMMAND_FILE_LOAD@"> + #if $file_load_section.file_load_conditional.file_load_select == "yes": + #if $file_load_section.file_load_conditional.input[0].is_of_type("mzxml") or $file_load_section.file_load_conditional.input[0].is_of_type("mzml") or $file_load_section.file_load_conditional.input[0].is_of_type("mzdata") or $file_load_section.file_load_conditional.input[0].is_of_type("netcdf"): + #set singlefile_galaxyPath = '|'.join( [ str( $single_file ) for $single_file in $file_load_section.file_load_conditional.input ] ) + #set singlefile_sampleName = '|'.join( [ str( $single_file.element_identifier ) for $single_file in $file_load_section.file_load_conditional.input ] ) + + singlefile_galaxyPath '$singlefile_galaxyPath' singlefile_sampleName '$singlefile_sampleName' + #else + zipfile '$file_load_section.file_load_conditional.input' + #end if + #end if + </token> + + <xml name="input_file_load"> + <section name="file_load_section" title="Resubmit your raw dataset or your zip file"> + <conditional name="file_load_conditional"> + <param name="file_load_select" type="select" label="Resubmit your dataset or your zip file" help="Use only if you get a message saying that your original dataset or zip file have been deleted on the server." > + <option value="no" >no need</option> + <option value="yes" >yes</option> + </param> + <when value="no"> + </when> + <when value="yes"> + <param name="input" type="data" format="mzxml,mzml,mzdata,netcdf,zip" multiple="true" label="File(s) from your history containing your chromatograms" help="Single file mode for the format: mzxml, mzml, mzdata and netcdf. Zip file mode for the format: zip. See the help section below." /> + </when> + </conditional> + </section> + </xml> + + <xml name="test_file_load_zip"> + <section name="file_load_section"> + <conditional name="file_load_conditional"> + <param name="file_load_select" value="yes" /> + <param name="input" value="faahKO_reduce.zip" ftype="zip" /> + </conditional> + </section> + </xml> + + <xml name="test_file_load_zip_sacuri"> + <section name="file_load_section"> + <conditional name="file_load_conditional"> + <param name="file_load_select" value="yes" /> + <param name="input" value="sacuri_dir_root.zip" ftype="zip" /> + </conditional> + </section> + </xml> + + <xml name="test_file_load_single"> + <section name="file_load_section"> + <conditional name="file_load_conditional"> + <param name="file_load_select" value="yes" /> + <param name="input" value="wt15.CDF,ko16.CDF,ko15.CDF,wt16.CDF" ftype="netcdf" /> + </conditional> + </section> + </xml> + + <xml name="test_file_load_single_file" token_filename=""> + <section name="file_load_section"> + <conditional name="file_load_conditional"> + <param name="file_load_select" value="yes" /> + <param name="input" value="@FILENAME@.CDF" ftype="netcdf" /> + </conditional> + </section> + </xml> + + <!-- PEAKLIST --> + <token name="@COMMAND_PEAKLIST@"> + #if $peaklist.peaklistBool == 'true' + convertRTMinute $peaklist.convertRTMinute + numDigitsMZ $peaklist.numDigitsMZ + numDigitsRT $peaklist.numDigitsRT + intval $peaklist.intval + naTOzero $peaklist.naTOzero + #end if + </token> + + <xml name="input_peaklist"> + <param name="convertRTMinute" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="Convert retention time (seconds) into minutes" help="Convert the columns rtmed, rtmin and rtmax into minutes"/> + <param name="numDigitsMZ" type="integer" value="4" label="Number of decimal places for mass values reported in ions' identifiers." help="A minimum of 4 decimal places is recommended. Useful to avoid duplicates within identifiers" /> + <param name="numDigitsRT" type="integer" value="0" label="Number of decimal places for retention time values reported in ions' identifiers." help="Useful to avoid duplicates within identifiers" /> + <param name="intval" type="select" label="Reported intensity values" help="[intval] See the help section below"> + <option value="into" selected="true">into</option> + <option value="maxo">maxo</option> + <option value="intb">intb</option> + </param> + <param name="naTOzero" type="boolean" checked="true" truevalue="TRUE" falsevalue="FALSE" label="If NA values remain, replace them by 0 in the dataMatrix" help="Mandatory for some of the downstream tools (data processing, statistics) that do not accept NA values"/> + </xml> + + <xml name="input_peaklist_section"> + <section name="peaklist" title="Peak List" expanded="True"> + <param name="peaklistBool" type="hidden" label="Get the Peak List" value="true" /> + <expand macro="input_peaklist"/> + </section> + </xml> + + <xml name="input_peaklist_conditional"> + <conditional name="peaklist"> + <param name="peaklistBool" type="select" label="Get the Peak List"> + <option value="true">Yes</option> + <option value="false">No</option> + </param> + <when value="true"> + <expand macro="input_peaklist"/> + </when> + <when value="false" /> + </conditional> + </xml> + + <xml name="output_peaklist" token_function=""> + <data name="variableMetadata" format="tabular" label="${image.name[:-6]}.@FUNCTION@.variableMetadata.tsv" from_work_dir="variableMetadata.tsv" > + <filter>peaklist['peaklistBool'] == 'true'</filter> + </data> + <data name="dataMatrix" format="tabular" label="${image.name[:-6]}.@FUNCTION@.dataMatrix.tsv" from_work_dir="dataMatrix.tsv" > + <filter>peaklist['peaklistBool'] == 'true'</filter> + </data> + </xml> + + <token name="@HELP_PEAKLIST@"> + +Get a Peak List +--------------- + +If 'true', the module generates two additional files corresponding to the peak list: +- the variable metadata file (corresponding to information about extracted ions such as mass or retention time) +- the data matrix (corresponding to related intensities) + +**decimal places for [mass or retention time] values in identifiers** + + | Ions' identifiers are constructed as MxxxTyyy where 'xxx' is the ion median mass and 'yyy' the ion median retention time. + | Two parameters are used to adjust the number of decimal places wanted in identifiers for mass and retention time respectively. + | Theses parameters do not affect decimal places in columns other than the identifier one. + +**Reported intensity values** + + | This parameter determines which values should be reported as intensities in the dataMatrix table; it correspond to xcms 'intval' parameter: + | - into: integrated area of original (raw) peak + | - maxo: maximum intensity of original (raw) peak + | - intb: baseline corrected integrated peak area (only available if peak detection was done by ‘findPeaks.centWave’) + + </token> + + <token name="@HELP_PEAKLIST_OUTPUT@"> +xset.variableMetadata.tsv : tabular format + + | Table containing information about ions; can be used as one input of **Quality_Metrics** or **Generic_filter** modules. + +xset.dataMatrix.tsv : tabular format + + | Table containing ions' intensities; can be used as one input of **Quality_Metrics** or **Generic_filter** modules. + </token> + + <!-- CENTWAVE --> + <token name="@COMMAND_CENTWAVE@"> + ppm $methods.ppm + peakwidth "c($methods.peakwidth)" + + ## Advanced + snthresh $methods.CentWaveAdv.snthresh + prefilter "c($methods.CentWaveAdv.prefilter)" + mzCenterFun $methods.CentWaveAdv.mzCenterFun + integrate $methods.CentWaveAdv.integrate + mzdiff $methods.CentWaveAdv.mzdiff + fitgauss $methods.CentWaveAdv.fitgauss + noise $methods.CentWaveAdv.noise + verboseColumns $methods.CentWaveAdv.verboseColumns + </token> + + <xml name="input_centwave"> + <param argument="ppm" type="float" value="25" label="Max tolerated ppm m/z deviation in consecutive scans in ppm" help="for the initial ROI definition." /> + <param argument="peakwidth" type="text" value="20,50" label="Min,Max peak width in seconds" help="with the expected approximate peak width in chromatographic space."> + <expand macro="input_validator_range_float"/> + </param> + </xml> + + <xml name="input_centwaveAdv"> + <param argument="snthresh" type="integer" value="10" label="Signal to Noise ratio cutoff" /> + <param argument="prefilter" type="text" value="3,100" label="Prefilter step for for the first analysis step (ROI detection)" help="Separate by coma k, I. Mass traces are only retained if they contain at least ‘k‘ peaks with intensity ‘>= I‘."> + <expand macro="input_validator_range_integer"/> + </param> + <param argument="mzCenterFun" type="select" label="Name of the function to calculate the m/z center of the chromatographic peak" > + <option value="wMean">intensity weighted mean of the peak's m/z values</option> + <option value="mean">mean of the peak's m/z values</option> + <option value="apex">use the m/z value at the peak apex</option> + <option value="wMeanApex3">intensity weighted mean of the m/z value at the peak apex and the m/z values left and right of it</option> + <option value="meanApex3">mean of the m/z value of the peak apex and the m/z values left and right of it</option> + </param> + <param argument="integrate" type="select" label="Integration method" > + <option value="1">peak limits are found through descent on the mexican hat filtered data (more robust, but less exact)</option> + <option value="2">peak limits based on real data (more accurate but prone to noise)</option> + </param> + <param argument="mzdiff" type="float" value="-0.001" label="Minimum difference in m/z for peaks with overlapping retention times" help="can be negative to allow overlap" /> + <param argument="fitgauss" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="fitgauss" help="whether or not a Gaussian should be fitted to each peak" /> + <param argument="noise" type="integer" value="0" label="Noise filter" help="allowing to set a minimum intensity required for centroids to be considered in the first analysis step (centroids with intensity lower than ‘noise’ are omitted from ROI detection)." /> + <param argument="verboseColumns" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="verbose Columns" help="whether additional peak meta data columns should be returned" /> + </xml> + + <token name="@COMMAND_CENTWAVEADVROI@"> + #if $sectionROI.roiList: + roiList '$sectionROI.roiList' + firstBaselineCheck $sectionROI.firstBaselineCheck + #if $sectionROI.roiScales != "": + roiScales "c($sectionROI.roiScales)" + #end if + #end if + </token> + + <xml name="input_centwaveAdvROI" token_optional="true"> + <param argument="roiList" type="data" format="tabular" optional="@OPTIONAL@" label="List of regions-of-interest (ROI) representing detected mass traces" help="If ROIs are submitted the first analysis step is omitted and chromatographic peak detection is performed on the submitted ROIs. Each ROI is expected to have the following elements specified: ‘scmin’ (start scan index), ‘scmax’ (end scan index), ‘mzmin’ (minimum m/z), ‘mzmax’ (maximum m/z), ‘length’ (number of scans), ‘intensity’ (summed intensity)." /> + <param argument="firstBaselineCheck" type="boolean" checked="true" truevalue="TRUE" falsevalue="FALSE" label="Is continuous data within regions of interest is checked to be above the first baseline." /> + <param argument="roiScales" type="text" value="" optional="true" label="Numeric vector defining the scale for each region of interest in ‘roiList’" help="Length equal to ‘roiList’ - Should be used for the centWave-wavelets (format 0.9,1,0.2)"> + <expand macro="input_validator_range_float"/> + </param> + </xml> + + <!-- MISC --> + <token name="@HELP_AUTHORS@"> +.. class:: infomark + +**Authors** Colin A. Smith csmith@scripps.edu, Ralf Tautenhahn rtautenh@gmail.com, Steffen Neumann sneumann@ipb-halle.de, Paul Benton hpaul.benton08@imperial.ac.uk and Christopher Conley cjconley@ucdavis.edu + +@HELP_AUTHORS_WRAPPERS@ + +--------------------------------------------------- + + </token> + + <token name="@HELP_XCMS_MANUAL@"> + +For details and explanations concerning all the parameters and workflow of xcms_ package, see its manual_ and this example_ + +.. _xcms: https://bioconductor.org/packages/release/bioc/html/xcms.html +.. _manual: http://www.bioconductor.org/packages/release/bioc/manuals/xcms/man/xcms.pdf +.. _example: https://bioconductor.org/packages/release/bioc/vignettes/xcms/inst/doc/xcms.html +.. _news: https://bioconductor.org/packages/release/bioc/news/xcms/NEWS + + </token> + + <token name="@HELP_XCMS_NEWVERSION_3440@"> +**Version 3.4.4.0 - 08/02/2019** + +- UPGRADE: upgrade the xcms version from 3.0.0 to 3.4.4 (see XCMS news_) + </token> + <token name="@HELP_XCMS_NEWVERSION_3610@"> +**Version 3.6.1+galaxy* - 03/09/2019** + +- UPGRADE: upgrade the xcms version from 3.4.4 to 3.6.1 (see XCMS news_) + </token> + <token name="@HELP_XCMS_NEWVERSION_31200@"> +**Version 3.12.0+galaxy* - 03/03/2020** + +- UPGRADE: upgrade the xcms version from 3.6.1 to 3.12.0 (see XCMS news_) + </token> + + <xml name="citation"> + <citations> + <citation type="doi">10.1021/ac051437y</citation> + <expand macro="citation_w4m"/> + </citations> + </xml> +</macros>
--- a/msnbase_readmsdata.r Mon Apr 12 09:35:02 2021 +0000 +++ b/msnbase_readmsdata.r Mon Sep 11 09:24:51 2023 +0000 @@ -11,19 +11,21 @@ #Import the different functions source_local <- function(fname) { - argv <- commandArgs(trailingOnly = FALSE); base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)); source(paste(base_dir, fname, sep = "/")) + argv <- commandArgs(trailingOnly = FALSE) + base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)) + source(paste(base_dir, fname, sep = "/")) } source_local("lib.r") pkgs <- c("MSnbase", "batch") loadAndDisplayPackages(pkgs) -cat("\n\n"); +cat("\n\n") # ----- ARGUMENTS ----- cat("\tARGUMENTS INFO\n") args <- parseCommandArgs(evaluate = FALSE) #interpretation of arguments given in command line as an R list of objects -write.table(as.matrix(args), col.names = F, quote = F, sep = "\t") +write.table(as.matrix(args), col.names = FALSE, quote = FALSE, sep = "\t") cat("\n\n")
--- a/msnbase_readmsdata.xml Mon Apr 12 09:35:02 2021 +0000 +++ b/msnbase_readmsdata.xml Mon Sep 11 09:24:51 2023 +0000 @@ -1,4 +1,4 @@ -<tool id="msnbase_readmsdata" name="MSnbase readMSData" version="@WRAPPER_VERSION@+galaxy0"> +<tool id="msnbase_readmsdata" name="MSnbase readMSData" version="@WRAPPER_VERSION@+galaxy1"> <description>Imports mass-spectrometry data files</description> <macros> @@ -17,7 +17,7 @@ #set $source = $os.readlink(str($input)) singlefile_galaxyPath '$source' singlefile_sampleName '$os.path.basename($source)' #else - singlefile_galaxyPath '$input' singlefile_sampleName '$input.name' + singlefile_galaxyPath '$input' singlefile_sampleName '$input.element_identifier' #end if #else zipfile '$input' @@ -28,7 +28,7 @@ <inputs> - <param name="input" type="data" format="mzxml,mzml,mzdata,netcdf,no_unzip.zip,zip" label="File(s) from your history containing your chromatograms" help="Single file mode for the following formats: mzxml, mzml, mzdata and netcdf. Zip file mode for the following formats: no_unzip.zip, zip. See the help section below." /> + <param name="input" type="data" format="mzxml,mzml,mzdata,netcdf,zip" label="File(s) from your history containing your chromatograms" help="Single file mode for the following formats: mzxml, mzml, mzdata and netcdf. Zip file mode for the following formats: zip. See the help section below." /> </inputs> @@ -41,7 +41,7 @@ <tests> - <test> + <test expect_num_outputs="2"> <param name="input" value="faahKO_reduce.zip" ftype="zip" /> <assert_stdout> <has_text text="rowNames: faahKO_reduce/KO/ko15.CDF faahKO_reduce/KO/ko16.CDF" /> @@ -55,7 +55,7 @@ </assert_stdout> <output name="sampleMetadata" value="sampleMetadata.tsv" /> </test> - <test> + <test expect_num_outputs="1"> <param name="input" value="ko15.CDF" ftype="netcdf" /> <assert_stdout> <has_text text="rowNames: ko15.CDF" /> @@ -123,7 +123,7 @@ ========================= ========================================== Name Format ========================= ========================================== -Upload File mzxml,mzml,mzdata,netcdf,no_unzip.zip,zip +Upload File mzxml,mzml,mzdata,netcdf,zip ========================= ========================================== The easier way to process is to create a Dataset Collection of the type List @@ -185,14 +185,6 @@ **Step 3 : Uploading it to our Galaxy server** -If your zip file is less than 2Gb, you can use the Get Data tool to upload it. - -Otherwise if your zip file is larger than 2Gb, please refer to the HOWTO_ on workflow4metabolomics.org. - -.. _HOWTO: http://application.sb-roscoff.fr/download/w4m/howto/galaxy_upload_up_2Go.pdf - -For more information, do not hesitate to send us an email at supportATworkflow4metabolomics.org. - Advices for converting your files into mzXML format (XCMS input) ----------------------------------------------------------------
--- a/repository_dependencies.xml Mon Apr 12 09:35:02 2021 +0000 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,5 +0,0 @@ -<?xml version="1.0" ?> -<repositories> - <repository name="no_unzip_datatype" owner="lecorguille" toolshed="https://toolshed.g2.bx.psu.edu" changeset_revision="7800ba9a4c1e"/> - <repository name="rdata_xcms_datatypes" owner="lecorguille" toolshed="https://toolshed.g2.bx.psu.edu" changeset_revision="544f6d2329ac"/> -</repositories> \ No newline at end of file
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/faahKO-single-class.xset.group.retcor.group.fillPeaks.dataMatrix.NAless.tsv Mon Sep 11 09:24:51 2023 +0000 @@ -0,0 +1,8210 @@ +name ko15 ko16 wt15 wt16 +M200T2874 81222.2440209194 506848.884266667 54341.7228406609 72996.8772876537 +M200T3531 0 0 4586.52650000006 0 +M200T3486 6029.94499999992 0 0 0 +M200T3675 0 0 5108.15999999988 2578.12031346051 +M200T3190 0 4333.4849999999 0 0 +M200T3875 1144.01499999999 553.365929229532 585.097402094442 0 +M200T3810 0 0 1018.81499999998 0 +M200T3971 1326.99047756647 0 0 1242.61000000004 +M201T3543 0 2863.6449999999 0 0 +M201T3778 1306.08395530754 0 1680.81000000006 0 +M201T4059 0 0 1339.64000000005 275.481792795915 +M201T3626 0 1413.45327423963 854.929689324458 2931.24499999993 +M201T2556 0 14307.2299999999 0 0 +M201T3275 0 911.509653323359 4090.91000000014 1614.20733427184 +M201T3144 26391.7866084706 254581.758476187 67292.0303792526 26660.982146465 +M201T3509 4023.61499999999 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Binary file test-data/faahKO-single-class.xset.merged.group.retcor.group.fillpeaks.RData has changed
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/faahKO-single.xset.merged.group.retcor.group.fillpeaks.summary.html Mon Sep 11 09:24:51 2023 +0000 @@ -0,0 +1,165 @@ +<!DOCTYPE html> +<HTML lang='en'> +<HEAD> +<meta http-equiv='Content-Type' content='text/html; charset=UTF-8' /> +<title>[W4M] XCMS analysis summary</title> +<style> +table, tr, td, th { border: 1px solid #000000; border-collapse:collapse; } +td, th { padding: 5px; padding-right: 12px; } +th { background: #898989; text-align:left;color: white;} +h2 { color: #FFA212; } +ul li { margin-bottom:10px; } +</style> +</HEAD> +<BODY> +<div><h1>___ XCMS analysis summary using Workflow4Metabolomics ___</h1> +By: planemo@galaxyproject.org - +Date: 230525-08:53:25 +</div> +<h2>Samples used:</h2> +<div><table> +<tr><th>sample</th><th>filename</th></tr> +<tr><td>ko15</td><td>ko15.CDF</td></tr><tr><td>ko16</td><td>ko16.CDF</td></tr><tr><td>wt15</td><td>wt15.CDF</td></tr><tr><td>wt16</td><td>wt16.CDF</td></tr> +</table> + +</div> +<h2>Function launched:</h2> +<div><table> +<tr><th>timestamp<sup>***</sup></th><th>function</th><th>argument</th><th>value</th></tr> +<tr><td>Mon May 11 09:37:30 2020</td><td>Peak detection</td><td colspan='2'><pre> +Object of class: CentWaveParam +Parameters: + ppm: 25 + peakwidth: 20, 50 + snthresh: 10 + prefilter: 3, 100 + mzCenterFun: wMean + integrate: 1 + mzdiff: -0.001 + fitgauss: FALSE + noise: 0 + verboseColumns: FALSE + roiList length: 0 + firstBaselineCheck TRUE + roiScales length: 0 +</pre></td></tr> +<tr><td>Mon May 11 09:37:49 2020</td><td>Peak grouping</td><td colspan='2'><pre> +Object of class: PeakDensityParam +Parameters: + sampleGroups: character of length 4 + bw: 5 + minFraction: 0.3 + minSamples: 1 + binSize: 0.01 + maxFeatures: 50 +</pre></td></tr> +<tr><td>Mon May 11 09:38:08 2020</td><td>Retention time correction</td><td colspan='2'><pre> +Object of class: PeakGroupsParam +Parameters: + minFraction: 0.85 + extraPeaks: 1 + smooth: loess + span: 0.2 + family: gaussian + subset: + number of peak groups: 53 +</pre></td></tr> +<tr><td>Mon May 11 09:38:09 2020</td><td>Peak grouping</td><td colspan='2'><pre> +Object of class: PeakDensityParam +Parameters: + sampleGroups: character of length 4 + bw: 20 + minFraction: 0.4 + minSamples: 1 + binSize: 0.25 + maxFeatures: 50 +</pre></td></tr> +<tr><td>Mon May 11 09:38:18 2020</td><td>Missing peak filling</td><td colspan='2'><pre> +Object of class: FillChromPeaksParam +Parameters: + expandMz: 0 + expandRt: 0 + ppm: 0 +</pre></td></tr> +</table> +<br/><sup>***</sup>timestamp format: DD MM dd hh:mm:ss YYYY or yymmdd-hh:mm:ss +</div> +<h2>Informations about the XCMSnExp object:</h2> +<div><pre> +MSn experiment data ("XCMSnExp") +Object size in memory: 1.55 Mb +- - - Spectra data - - - + MS level(s): 1 + Number of spectra: 5112 + MSn retention times: 41:38 - 75:7 minutes +- - - Processing information - - - +Data loaded [Mon May 11 09:37:30 2020] + MSnbase version: 2.10.1 +- - - Meta data - - - +phenoData + rowNames: 1 2 3 4 + varLabels: sample_name sample_group + varMetadata: labelDescription +Loaded from: + [1] ko15.CDF... [4] wt16.CDF + Use 'fileNames(.)' to see all files. +protocolData: none +featureData + featureNames: F1.S0001 F1.S0002 ... F4.S1278 (5112 total) + fvarLabels: fileIdx spIdx ... spectrum (31 total) + fvarMetadata: labelDescription +experimentData: use 'experimentData(object)' +- - - xcms preprocessing - - - +Chromatographic peak detection: + method: centWave + 15405 peaks identified in 4 samples. + On average 3851 chromatographic peaks per sample. +Alignment/retention time adjustment: + method: peak groups +Correspondence: + method: chromatographic peak density + 6349 features identified. + Median mz range of features: 0 + Median rt range of features: 0 + 6154 filled peaks (on average 1538.5 per sample). +</pre></div> +<h2>Informations about the xcmsSet object:</h2> +<div><pre> +An "xcmsSet" object with 4 samples + +Time range: 2509.2-4481.8 seconds (41.8-74.7 minutes) +Mass range: 200.1-600 m/z +Peaks: 15405 (about 3851 per sample) +Peak Groups: 6349 +Sample classes: KO, WT + +Feature detection: + o Peak picking performed on MS1. + o Scan range limited to 1 - 1278 +Profile settings: method = bin + step = 0.1 + +Memory usage: 3.98 MB +</pre></div> +<h2>Citations:</h2> +<div><ul> +<li>To cite the <b>XCMS</b> package in publications use: +<ul> +<li>Smith, C.A. and Want, E.J. and O'Maille, G. and Abagyan,R. and Siuzdak, G.XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching and identification, Analytical Chemistry, 78:779-787 (2006)</li> +<li>Ralf Tautenhahn, Christoph Boettcher, Steffen Neumann: Highly sensitive feature detection for high resolution LC/MS BMC Bioinformatics, 9:504 (2008)</li> +<li>H. Paul Benton, Elizabeth J. Want and Timothy M. D. Ebbels Correction of mass calibration gaps in liquid chromatography-mass spectrometry metabolomics data Bioinformatics, 26:2488 (2010)</li> +</ul> +</li> +<li>To cite the <b>CAMERA</b> package in publications use: +<ul> +<li>Kuhl, C., Tautenhahn, R., Boettcher, C., Larson, T. R. and Neumann,S. CAMERA: an integrated strategy for compound spectra extraction and annotation of liquid chromatography/mass spectrometry data sets. Analytical Chemistry, 84:283-289 (2012)</li> +</ul> +</li> +<li>To cite the <b>Workflow4Metabolimics (W4M)</b> project in publications use: +<ul> +<li>Franck Giacomoni, Gildas Le Corguillé, Misharl Monsoor, Marion Landi, Pierre Pericard, Mélanie Pétéra, Christophe Duperier, Marie Tremblay-Franco, Jean-François Martin, Daniel Jacob, Sophie Goulitquer, Etienne A. Thévenot and Christophe Caron (2014). Workflow4Metabolomics: A collaborative research infrastructure for computational metabolomics. Bioinformatics doi:10.1093/bioinformatics/btu813</li> +</ul> +</li> +</ul></div> +</BODY> +</HTML>
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M599.4T2974 599.400024414062 599.400024414062 599.400024414062 2973.994 2973.994 2973.994 1 0 1 7528 1 +M599T4127 M599.4T4127.4 599.400024414062 599.400024414062 599.400024414062 4127.364 4127.364 4127.364 1 1 0 4466 1 +M599T3724 M599.4T3723.6 599.400024414062 599.400024414062 599.400024414062 3723.607 3723.607 3723.607 1 0 1 6112 1 +M600T3407 M599.5T3407.5 599.5 599.5 599.5 3407.486 3407.486 3407.486 1 1 0 999 1 +M600T3005 M599.5T3005.3 599.5 599.5 599.5 3005.293 3005.293 3005.293 1 1 0 2885 1 +M600T2730 M599.5T2729.9 599.5 599.5 599.5 2729.861 2729.861 2729.861 1 0 1 7235 1 +M600T3609 M599.5T3609.4 599.5 599.5 599.5 3609.365 3609.365 3609.365 1 0 1 8294 1 +M600T2523 M599.8T2523.3 599.799987792969 599.799987792969 599.799987792969 2523.287 2523.287 2523.287 1 0 1 4673 1 +M600T2562 M599.8T2562.4 599.799987792969 599.799987792969 599.799987792969 2562.411 2562.411 2562.411 1 1 0 2316 1 +M600T2606 M599.9T2606.2 599.900024414062 599.900024414062 599.900024414062 2606.23 2604.665 2607.795 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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/noclass.merged.sampleMetadata.tsv Mon Sep 11 09:24:51 2023 +0000 @@ -0,0 +1,5 @@ +sample_name class +ko15 . +ko16 . +wt15 . +wt16 .
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/roiList.txt Mon Sep 11 09:24:51 2023 +0000 @@ -0,0 +1,2 @@ +scmin scmax mzmin mzmax length intensity +200 300 300 350 100 5000
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/sampleMetadata.tab Mon Sep 11 09:24:51 2023 +0000 @@ -0,0 +1,6 @@ +wt16 WT +ko16 KO +wt15 WT +ko15 KO +ko10 KO +foobar01 FOOBAR