Next changeset 1:301d7adf862e (2016-07-04) |
Commit message:
planemo upload for repository https://github.com/workflow4metabolomics/nmr_bucketing commit 44fd4fc42930d2e9ad7b77cf575f2231547de15c |
added:
MANUAL_INSTALL.txt NmrBucketing_script.R NmrBucketing_wrapper.R NmrBucketing_xml.xml README.rst planemo_test.sh repository_dependencies.xml static/images/MTH - Architecture repertoire Bruker.png static/images/Mth_Travaux.png test-data/MTBLS1.zip test-data/MTBLS1_bucketedData.tabular test-data/MTBLS1_sampleMetadata.tabular test-data/MTBLS1_variableMetadata.tabular tool_dependencies.xml |
b |
diff -r 000000000000 -r a99a6026c972 MANUAL_INSTALL.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/MANUAL_INSTALL.txt Fri Apr 08 10:56:14 2016 -0400 |
b |
@@ -0,0 +1,59 @@ +Instructions to integrate the "NMR bucketing" tool into a local instance of Galaxy +Version February 2015 M Tremblay-Franco + + +## --- R bin and Packages : --- ## +R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" +Platform: x86_64-redhat-linux-gnu (64-bit) + +Install the "batch" library, necessary for parseCommandArgs function and the "pracma" library, nessecary for cumtrapz function: + - Download package source (*.tar.gz file) from your favorite CRAN (http://www.r-project.org/) +For example: http://cran.univ-lyon1.fr/ + + - Install package in your R session +install.packages("path/package_name.tar.gz",lib="path",repos=NULL) +For Example: install.packages("/usr/lib64/R/library/pracma_1.8.3.tar",lib="/usr/lib64/R/library",repos=NULL) + + - Finally, load the package into your R session +library(batch) +library(pracma) + + +## --- Config : --- ## + - Edit the file "/galaxy/dist/galaxy-dist/tool_conf.xml" and add +<section id="id_name" name="Name"> + <tool file="path/NmrBucketing_xml.xml" /> +</section> +to create a new section containing the NMR_Bucketing tool +or add + <tool file="path/NmrBucketing_xml.xml" /> +in an existing section + + - Put the three files NmrBucketing_xml.xml, NmrBucketing_wrapper.R and NmrBucketing_script.R in a same directory +For example, path=/galaxy/dist/galaxy-dist/tools/stats + + - Edit the NmrBucketing_xml.xml file and change the path in the following lines + # R script + R --vanilla --slave --no-site-file --file=path/NmrBucketing_wrapper.R --args + + ## Library name for raw files storage + library path/$library + +## --- XML help part --- ## +one image: +Copy the 'Mth_Architecture_Repertoire_Bruker.png' file within the directory to your galaxy-dist/static/images/ + + + - Activate the "user_library_import_dir" in your /galaxy/dist/galaxy-dist/universe_wsgi.ini and create the users directories in this path, for example: + + #In universe_wsgi.ini + user_library_import_dir = /projet/sbr/galaxy/import/user + + #Create the user "myaccount" in this path + + User path: /projet/sbr/galaxy/import/user/myaccount@sb-roscoff.fr + + + + +Finally, restart Galaxy \ No newline at end of file |
b |
diff -r 000000000000 -r a99a6026c972 NmrBucketing_script.R --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/NmrBucketing_script.R Fri Apr 08 10:56:14 2016 -0400 |
[ |
b'@@ -0,0 +1,245 @@\n+################################################################################################\r\n+# SPECTRA BUCKETING AND INTEGRATION FROM RAW BRUKER FILES #\r\n+# User : Galaxy #\r\n+# Original data : -- #\r\n+# Starting date : 20-10-2014 #\r\n+# Version 1 : 18-12-2014 #\r\n+# Version 2 : 07-01-2015 #\r\n+# #\r\n+# Input files : files in included in user-defined directory #\r\n+################################################################################################\r\n+NmrBucketing <- function(directory,leftBorder = 10.0,rightBorder = 0.5,bucketSize = 0.04,exclusionZones,exclusionZonesBorders=NULL,\r\n+ graph=c("None","Overlay","One_per_individual"),nomFichier,savLog.txtC = NULL) \r\n+{\r\n+ ## Option\r\n+ ##---------------\r\n+ strAsFacL <- options()$stringsAsFactors\r\n+ options(stingsAsFactors = FALSE)\r\n+ options(warn = -1)\r\n+ \r\n+ \r\n+ ## Constants\r\n+ ##---------------\r\n+ topEnvC <- environment()\r\n+ flgC <- "\\n"\r\n+ \r\n+ ## Log file (in case of integration into Galaxy)\r\n+ ##----------------------------------------------\r\n+ if(!is.null(savLog.txtC))\r\n+ sink(savLog.txtC, append = TRUE)\r\n+ \r\n+ ## Functions definition\r\n+ ##--------------------- \r\n+ ## RAW BRUKER FILE READING FUNCTION\r\n+ NmRBrucker_read <- function(DataDir,SampleSpectrum)\r\n+ {\r\n+ \r\n+ bruker.get_param <- function (ACQ,paramStr)\r\n+ {\r\n+ regexpStr <- paste("^...",paramStr,"=",sep="")\r\n+ as.numeric(gsub("^[^=]+= ","" ,ACQ[which(simplify2array(regexpr(regexpStr,ACQ))>0)]))\r\n+ }\r\n+ \r\n+ ACQFILE <- "acqus"\r\n+ SPECFILE <- paste(DataDir,"/1r",sep="")\r\n+ PROCFILE <- paste(DataDir,"/procs",sep="")\r\n+ \r\n+ ACQ <- readLines(ACQFILE)\r\n+ TD <- bruker.get_param(ACQ,"TD")\r\n+ SW <- bruker.get_param(ACQ,"SW")\r\n+ SWH <- bruker.get_param(ACQ,"SW_h")\r\n+ DTYPA <- bruker.get_param(ACQ,"DTYPA")\r\n+ BYTORDA <- bruker.get_param(ACQ,"BYTORDA")\r\n+ #ENDIAN = ifelse( BYTORDA==0, "little", "big")\r\n+ ENDIAN <- "little"\r\n+ SIZE = ifelse( DTYPA==0, 4, 8)\r\n+ \r\n+ PROC <- readLines(PROCFILE)\r\n+ OFFSET <- bruker.get_param(PROC,"OFFSET")\r\n+ SI <- bruker.get_param(PROC,"SI")\r\n+ \r\n+ to.read = file(SPECFILE,"rb")\r\n+ maxTDSI = max(TD,SI)\r\n+ # signal<-rev(readBin(to.read, what="int",size=SIZE, n=TD, signed = TRUE, endian = ENDIAN))\r\n+ signal<-rev(readBin(to.read, what="int",size=SIZE, n=maxTDSI, signed = TRUE, endian = ENDIAN))\r\n+ close(to.read)\r\n+ \r\n+ td <- length(signal)\r\n+ \r\n+ # dppm <- SW/(TD-1)\r\n+ dppm <- SW/(td-1)\r\n+ pmax <- OFFSET\r\n+ pmin <- OFFSET - SW\r\n+ ppmseq <- seq(from=pmin, to=pmax, by=dppm)\r\n+ signal <- 100*signal/max(signal)\r\n+ \r\n+ SampleSpectrum <- cbind(ppmseq,signal)\r\n+ return(SampleSpectrum)\r\n+ }\r\n+ \r\n+ ## SPECTRUM BUCKETING\r\n+ NmrBrucker_bucket <- function(spectrum)\r\n+ {\r\n+ # Initialisations\r\n+ b <- 1\r\n+ j <- 1\r\n+ # Variable number\r\n+ J <- round((spectrum[1,1]-spectrum[dim(spectrum)[1],1])/bucketSize)\r\n+ f.bucket <- matrix(rep(0,J*2),ncol=2)\r\n+ colnames(f.bucket) <- c("Bucket",FileNames[i])\r\n+ \r\n+ \r\n+ # Data bucketing\r\n+ while (j < dim(spectrum)[1])\r\n+ {\r\n+ # chemical shift\r\n+ BUB <- spectrum[j,1]\r\n+ \r\n+ # In zone exclusion?\r\n+ exclusion.in <- FALSE\r\n+ if (!is.null(exclusionZonesBorders))\r\n+ {\r\n+ for (k in 1:nrow(exclusion.zone.m))\r\n+ if (BUB <= exclusion.zone.m[k,1] && exclusion.zone.m['..b'if (exclusionZones == "yes")\r\n+ if (!is.null(exclusionZonesBorders))\r\n+ {\r\n+ exclusion.zone.m <- matrix(exclusionZonesBorders[[1]],nrow=1)\r\n+ if (length(exclusionZonesBorders) > 1)\r\n+ for (k in 2:length(exclusionZonesBorders))\r\n+ exclusion.zone.m <- rbind(exclusion.zone.m,exclusionZonesBorders[[k]])\r\n+ }\r\n+\r\n+ # Reading and Bucketing\r\n+ directory <- paste(directory,"/",sep="")\r\n+\r\n+ i <- 1\r\n+ while (i <= n)\r\n+ {\r\n+ # File reading\r\n+ SampleDir <- paste(directory,FileNames[i],"/1/",sep="")\r\n+ setwd(SampleDir)\r\n+ DataDir <- "pdata/1"\r\n+\r\n+ rawSpectrum <- NmRBrucker_read(DataDir,rawSpectrum)\r\n+\r\n+ orderedSpectrum <- rawSpectrum[order(rawSpectrum[,1],decreasing=T), ]\r\n+ \r\n+ # Removal of chemical shifts > leftBorder or < rightBorder boundaries\r\n+ truncatedSpectrum <- orderedSpectrum[orderedSpectrum[,1] < leftBorder & orderedSpectrum[,1] > rightBorder, ]\r\n+ truncatedSpectrum[,1] <- round(truncatedSpectrum[,1],3)\r\n+ \r\n+ # Bucketing\r\n+ spectrum.bucket <- NmrBrucker_bucket(truncatedSpectrum)\r\n+ \r\n+ # spectrum Concatenation\r\n+ if (i == 1)\r\n+ bucketedSpectra <- spectrum.bucket\r\n+ if (i > 1)\r\n+ bucketedSpectra <- cbind(bucketedSpectra,spectrum.bucket[,2])\r\n+ colnames(bucketedSpectra)[i+1] <- FileNames[i]\r\n+ \r\n+ # Next sample\r\n+ rm(spectrum.bucket)\r\n+ i <- i +1\r\n+ }\r\n+ identifiants <- gsub("([- , * { } | \\\\[ ])","_",colnames(bucketedSpectra)[-1])\r\n+ colnames(bucketedSpectra) <- c(colnames(bucketedSpectra)[1],identifiants)\r\n+\r\n+ bucketedSpectra <- bucketedSpectra[bucketedSpectra[,1]!=0,]\r\n+ rownames(bucketedSpectra) <- paste("B",bucketedSpectra[,1],sep="")\r\n+ bucketedSpectra <- bucketedSpectra[,-1]\r\n+ \r\n+ # Metadata matrice outputs\r\n+ sampleMetadata <- data.frame(1:n)\r\n+ rownames(sampleMetadata) <- colnames(bucketedSpectra)\r\n+ colnames(sampleMetadata) <- "SampleOrder"\r\n+ \r\n+ variableMetadata <- data.frame(1:nrow(bucketedSpectra))\r\n+ rownames(variableMetadata) <- rownames(bucketedSpectra)\r\n+ colnames(variableMetadata) <- "VariableOrder"\r\n+\r\n+ # Directory\r\n+ cd(directory) \r\n+ \r\n+ # Bucketed spectra graph\r\n+ if (graph != "None")\r\n+ {\r\n+ # Graphic Device opening\r\n+ pdf(nomFichier,onefile=TRUE)\r\n+\r\n+ if (graph == "Overlay")\r\n+ {\r\n+ ymax <- max(bucketedSpectra)\r\n+ plot(1:length(bucketedSpectra[,1]),bucketedSpectra[,1],ylim=c(0,ymax),type=\'l\',col=1,xlab="Chemical shift",ylab="Intensity")\r\n+ for (i in 2:ncol(bucketedSpectra))\r\n+ {\r\n+ spectre <- bucketedSpectra[,i]\r\n+ lines(spectre,col=i)\r\n+ }\r\n+# legend(0,ymax,lty=c(1,1),legend=colnames(bucketedSpectra),col=1:ncol(bucketedSpectra))\r\n+ }\r\n+ else\r\n+ {\r\n+ for (i in 1:ncol(bucketedSpectra))\r\n+ {\r\n+ plot(1:length(bucketedSpectra[,i]),bucketedSpectra[,i],type=\'l\',col=1,xlab="Chemical shift",ylab="Intensity")\r\n+ }\r\n+ }\r\n+ dev.off()\r\n+ }\r\n+ return(list(bucketedSpectra,sampleMetadata,variableMetadata)) # ,truncatedSpectrum_matrice\r\n+}\r\n+\r\n+\r\n+#################################################################################################################\r\n+## Typical function call\r\n+#################################################################################################################\r\n+## StudyDir <- "K:/PROJETS/Metabohub/Bruker/Tlse_BPASourisCerveau/"\r\n+## upper <- 9.5\r\n+## lower <- 0.8\r\n+## bucket.width <- 0.01\r\n+## exclusion <- TRUE\r\n+## exclusion.zone <- list(c(5.1,4.5))\r\n+## graphique <- "Overlay"\r\n+## nomFichier <- "Tlse_BPASourisCerveau_NmrBucketing_graph.pdf"\r\n+## tlse_cerveaupnd21.bucket <- NmrBucketing(StudyDir,upper,lower,bucket.width,exclusion,exclusion.zone,graphique,nomFichier)\r\n+## write.table(tlse_cerveaupnd21.bucket,file=paste(StudyDir,"Tlse_BPASourisCerveau_NmrBucketing_dataMatrix.tsv",sep=""),\r\n+## quote=FALSE,row.nmaes=FALSE,sep="\\t")\r\n+#################################################################################################################\r\n' |
b |
diff -r 000000000000 -r a99a6026c972 NmrBucketing_wrapper.R --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/NmrBucketing_wrapper.R Fri Apr 08 10:56:14 2016 -0400 |
[ |
@@ -0,0 +1,156 @@ +#!/usr/local/public/bin/Rscript --vanilla --slave --no-site-file + +## 070115_NmrBucketing2galaxy_v1.R +## Marie Tremblay-Franco +## MetaboHUB: The French Infrastructure for Metabolomics and Fluxomics +## www.metabohub.fr/en +## marie.tremblay-franco@toulouse.inra.fr + +runExampleL <- FALSE + +if(runExampleL) { +##------------------------------ +## Example of arguments +##------------------------------ +argLs <- list(StudyDir = "Tlse_BPASourisCerveau", + upper = "10.0", + lower = "0.50", + bucket.width = "0.01", + exclusion = "TRUE", + exclusion.zone = list(c(6.5,4.5)), + graph="Overlay") + +argLs <- c(argLs, + list(dataMatrixOut = paste(directory,"_NmrBucketing_dataMatrix.tsv",sep=""), + sampleMetadataOut = paste(directory,"_NmrBucketing_sampleMetadata.tsv",sep=""), + variableMetadataOut = paste(directory,"_NmrBucketing_variableMetadata.tsv",sep=""), + graphOut = paste(directory,"_NmrBucketing_graph.pdf",sep=""), + logOut = paste(directory,"_NmrBucketing_log.txt",sep=""))) +} + +##------------------------------ +## Options +##------------------------------ +strAsFacL <- options()$stringsAsFactors +options(stringsAsFactors = FALSE) + + +##------------------------------ +## Libraries laoding +##------------------------------ +# For parseCommandArgs function +library(batch) +# For cumtrapz function +library(pracma) + +# R script call +source_local <- function(fname) +{ + argv <- commandArgs(trailingOnly = FALSE) + base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)) + source(paste(base_dir, fname, sep="/")) +} +#Import the different functions +source_local("NmrBucketing_script.R") + +##------------------------------ +## Errors ????????????????????? +##------------------------------ + + +##------------------------------ +## Constants +##------------------------------ +topEnvC <- environment() +flagC <- "\n" + + +##------------------------------ +## Script +##------------------------------ +if(!runExampleL) + argLs <- parseCommandArgs(evaluate=FALSE) + +## sink(argLs[["logOut"]]) + + +## Parameters Loading +##------------------- + # Inputs +if (!is.null(argLs[["zipfile"]])){ + zipfile= argLs[["zipfile"]] + directory=unzip(zipfile, list=F) + directory=paste(getwd(),strsplit(directory[1],"/")[[1]][2],sep="/") +} else if (!is.null(argLs[["library"]])){ + directory=argLs[["library"]] + if(!file.exists(directory)){ + error_message=paste("Cannot access the directory :",directory,".Please verify if the directory exists or not.") + print(error_message) + stop(error_message) + } +} + +leftBorder <- argLs[["left_border"]] +rightBorder <- argLs[["right_border"]] +bucketSize <- argLs[["bucket_width"]] +exclusionZones <- argLs[["zone_exclusion_choices.choice"]] + +exclusionZonesBorders <- NULL +if (!is.null(argLs$zone_exclusion_left)) +{ + for(i in which(names(argLs)=="zone_exclusion_left")) + { + exclusionZonesBorders <- c(exclusionZonesBorders,list(c(argLs[[i]],argLs[[i+1]]))) + } +} + +graphique <- argLs[["graphType"]] + + # Outputs +nomGraphe <- argLs[["graphOut"]] +dataMatrixOut <- argLs[["dataMatrixOut"]] +sampleMetadataOut <- argLs[["sampleOut"]] +variableMetadataOut <- argLs[["variableOut"]] +log <- argLs[["logOut"]] + +## Checking arguments +##------------------- +error.stock <- "\n" + +if(length(error.stock) > 1) + stop(error.stock) + + +## Computation +##------------ +outputs <- NmrBucketing(directory,leftBorder,rightBorder,bucketSize,exclusionZones,exclusionZonesBorders,graphique,nomGraphe,log) +data_bucket <- outputs[[1]] +data_sample <- outputs[[2]] +data_variable <- outputs[[3]] + +## Saving +##------- + # Data +data_bucket <- cbind(rownames(data_bucket),data_bucket) +colnames(data_bucket) <- c("Bucket",colnames(data_bucket)[-1]) +write.table(data_bucket,file=argLs$dataMatrixOut,quote=FALSE,row.names=FALSE,sep="\t") + # Sample +data_sample <- cbind(rownames(data_sample),data_sample) +colnames(data_sample) <- c("Sample",colnames(data_sample)[-1]) +write.table(data_sample,file=argLs$sampleOut,quote=FALSE,row.names=FALSE,sep="\t") + # Variable +data_variable <- cbind(rownames(data_variable),data_variable) +colnames(data_variable) <- c("Bucket",colnames(data_variable)[-1]) +write.table(data_variable,file=argLs$variableOut,quote=FALSE,row.names=FALSE,sep="\t") + + +## Ending +##--------------------- + +cat("\nEnd of 'NMR bucketing' Galaxy module call: ", as.character(Sys.time()), sep = "") + +## sink(NULL) + +options(stringsAsFactors = strAsFacL) + +rm(list = ls()) |
b |
diff -r 000000000000 -r a99a6026c972 NmrBucketing_xml.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/NmrBucketing_xml.xml Fri Apr 08 10:56:14 2016 -0400 |
b |
b'@@ -0,0 +1,279 @@\n+<tool id="NmrBucketing" name="NMR_Bucketing" version="1.0.1">\r\n+\r\n+ <description> Bucketing and integration of NMR Bruker raw data</description>\r\n+\r\n+ <requirements>\r\n+ <requirement type="package" version="3.1.2">R</requirement>\r\n+\t <requirement type="package" version="1.1_4">r-batch</requirement>\r\n+\t <requirement type="package" version="1.8.8">r-pracma</requirement>\r\n+ </requirements>\r\n+\r\n+ <stdio>\r\n+ <exit_code range="1:" level="fatal" />\r\n+ </stdio>\r\n+\r\n+ <command>\r\n+ Rscript $__tool_directory__/NmrBucketing_wrapper.R\r\n+\r\n+ #if $inputs.input == "lib":\r\n+ library $__app__.config.user_library_import_dir/$__user_email__/$inputs.library\r\n+ #elif $inputs.input == "zip_file":\r\n+ zipfile $inputs.zip_file\r\n+ #end if\r\n+\r\n+\r\n+ ## Bucket width\r\n+ bucket_width $bucket_width\r\n+\r\n+ ## Spectra borders\r\n+ left_border $left_border\r\n+ right_border $right_border\r\n+\r\n+\r\n+ ## Spectra representation\r\n+ graphType $graphType\r\n+\r\n+ ## Exclusion zone\r\n+ zone_exclusion_choices.choice ${zone_exclusion_choices.choice}\r\n+ #if str($zone_exclusion_choices.choice) == \'yes\':\r\n+ #for $i in $zone_exclusion_choices.conditions:\r\n+ zone_exclusion_left ${i.zone_exclusion_left}\r\n+ zone_exclusion_right ${i.zone_exclusion_right}\r\n+ #end for\r\n+ #end if\r\n+\r\n+ ## Outputs\r\n+ logOut log.log\r\n+ dataMatrixOut $dataMatrixOut\r\n+ sampleOut $sampleOut\r\n+ variableOut $variableOut\r\n+ graphOut $graphOut; cat log.log\r\n+ </command>\r\n+\r\n+ <inputs>\r\n+ <conditional name="inputs">\r\n+ <param name="input" type="select" label="Choose your inputs method" >\r\n+ <option value="zip_file" selected="true">Zip file from your history containing your Bruker directories</option>\r\n+ <option value="lib" >Library directory name</option>\r\n+ </param>\r\n+ <when value="zip_file">\r\n+ <param name="zip_file" type="data" format="no_unzip.zip" label="Zip file" />\r\n+ </when>\r\n+ <when value="lib">\r\n+ <param name="library" type="text" size="40" label="Library directory name" help="The name of your directory containing all your data" >\r\n+ <validator type="empty_field"/> \r\n+ </param>\r\n+ </when>\r\n+\r\n+ </conditional>\r\n+\r\n+ <param name="bucket_width" label="Bucket width" type="float" value="0.04" help="Default value is 0.04 ppm"/>\r\n+\r\n+ <param name="left_border" label="Left Border" type="float" value="10.0" size="10" help="Default value is 10 ppm"/>\r\n+ <param name="right_border" label="Right Border" type="float" value="0.5" size="10" help="Default value is 0.5 ppm"/>\r\n+\r\n+ <conditional name="zone_exclusion_choices">\r\n+ <param name="choice" type="select" label="Exclusion zone(s)" help="Choose if you want to exclude particular zone(s)" >\r\n+ <option value="yes" > yes </option>\r\n+ <option value="no" selected="true"> no </option>\r\n+ </param>\r\n+ <when value="yes">\r\n+ <repeat name="conditions" title="exclusion zones">\r\n+ <param name="zone_exclusion_left" label="Left exclusion zone border" type="float" value="10.0" />\r\n+ <param name="zone_exclusion_right" label="Right exclusion zone border" type="float" value="10.0" />\r\n+ </repeat>\r\n+ </when>\r\n+ <when value="no">\r\n+ </when>\r\n+ </conditional>\r\n+\r\n+ <param name="graphType" label="Spectra representation" type="select" help="Select \'None\' for no representation,\'Overlay\' to overlay all spectra on a unique chart and \'One per individual\' to generate an individual chart for each observation">\r\n+ <option value="None"> none '..b'---+----------------------+--------+\r\n+| Name | Output file | Format |\r\n++===========================+======================+========+\r\n+|NmrNormalization | dataMatrix.tsv | Tabular|\r\n++---------------------------+----------------------+--------+\r\n+|Univariate | variableMetadata.tsv | Tabular|\r\n++---------------------------+----------------------+--------+\r\n+|Multivariate | sampleMetadata.tsv | Tabular|\r\n++---------------------------+----------------------+--------+\r\n+| | variableMetadata.tsv | Tabular|\r\n++---------------------------+----------------------+--------+\r\n+\r\n+\r\n+-----------\r\n+Input files\r\n+-----------\r\n+\r\n++---------------------------+------------+\r\n+| Parameter : num + label | Format |\r\n++===========================+============+\r\n+| 1 : Choose your inputs | zip |\r\n++---------------------------+------------+\r\n+\r\n+**Choose your inputs**\r\n+\r\n+You have two methods for your inputs:\r\n+\r\n+| Zip file (recommended): You can put a zip file containing your inputs: myinputs.zip (containing all your conditions as sub-directories).\r\n+| library folder: You must specify the name of your "library" (folder) created within your space project (for example: /projet/externe/institut/login/galaxylibrary/yourlibrary). Your library must contain all your conditions as sub-directories.\r\n+\r\n+.. image:: ./static/images/Mth_Architecture_Repertoire_Bruker.png\r\n+:width: 800\r\n+\r\n+----------\r\n+Parameters\r\n+----------\r\n+\r\n+Bucket width\r\n+| size of windows\r\n+|\r\n+\r\n+Left limit\r\n+| Upper boundary: values greater than this value are not used in the bucketing. Default value is 10.0 ppm\r\n+|\r\n+\r\n+Right limit\r\n+| Lower boundary: values lower than this value are not used in the bucketing. Default value is 0.5 ppm\r\n+|\r\n+\r\n+Exclusion zone(s)\r\n+| Spectral regions to exclude, water, solvents, ... resonance\r\n+| If YES: parameters **Lower exclusion zone** and **Upper exclusion zone** are visible,\r\n+| If NO: no zone to exclude\r\n+| Default value is NO\r\n+|\r\n+\r\n+Left exclusion zone\r\n+| Upper boundary of exclusion zone\r\n+|\r\n+\r\n+Right exclusion zone\r\n+| Lower boundary of exclusion zone\r\n+\r\n+| *Notes:* \r\n+| - these parameters can be used several times using the "Add new exclusion zones" button\r\n+|\r\n+\r\n+Spectra representation:\r\n+| Graphical chart of bucketed and integrated raw files\r\n+| If "Overlay": the n (sample number) spectra are overlaid on the same figure\r\n+| If "One_per_individual": pdf file includes n pages (1 per sample)\r\n+|\r\n+\r\n+\r\n+------------\r\n+Output files\r\n+------------\r\n+\r\n+\r\n+bucketedData.tsv\r\n+| tabular output\r\n+| Data matrix with p rows (buckets) and n columns (samples) containing the intensities\r\n+|\r\n+\r\n+sampleMetadata.tsv\r\n+| tabular output\r\n+| file with n rows (samples) and 2 columns containing sample identifier (rownames) and sample order: the rownames of sampleMetadata must be identical to the colnames of the bucketedData. Can add columns with numeric and/or character sample metadata. This file is optional in the normalization step and mandatory in the statistical analysis step of the workflow.\r\n+|\r\n+\r\n+variableMetadata.tsv\r\n+| tabular output\r\n+| file with p rows (buckets) and 2 columns containing variable identifier (rownames) and bucket order: the rownames of variableMetadata must be identical to the rownames of the bucketedData. Can add columns with numeric and/or character variable metadata. This file is mandatory in the statistical analysis step of the workflow.\r\n+|\r\n+\r\n+spectra.pdf\r\n+| pdf output\r\n+| Graphical chart of bucketed and integrated data\r\n+| \r\n+\r\n+\r\n+---------------------------------------------------\r\n+\r\n+---------------\r\n+Working example\r\n+---------------\r\n+\r\n+\r\n+.. class:: warningmark\r\n+\r\n+Under construction\r\n+\r\n+.. image:: ./static/images/Mth_Travaux.png\r\n+:width: 100\r\n+\r\n+\r\n+ </help>\r\n+ <citations>\r\n+ <citation type="doi">10.1093/bioinformatics/btu813</citation>\r\n+ </citations>\r\n+</tool>\r\n+\r\n' |
b |
diff -r 000000000000 -r a99a6026c972 README.rst --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/README.rst Fri Apr 08 10:56:14 2016 -0400 |
b |
@@ -0,0 +1,20 @@ + +Changelog/News +-------------- + +**Version 1.0.1 - 04/04/2016** + +- TEST: refactoring to pass planemo test using conda dependencies + + +**Version 2015-01-08 - 08/01/2015** + + + +Test Status +----------- + +Planemo test using conda: passed + +Planemo shed_test: passed + |
b |
diff -r 000000000000 -r a99a6026c972 planemo_test.sh --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/planemo_test.sh Fri Apr 08 10:56:14 2016 -0400 |
[ |
@@ -0,0 +1,12 @@ +planemo conda_init +planemo conda_install . +planemo test --install_galaxy --conda_dependency_resolution --galaxy_branch "dev" + +#All 1 test(s) executed passed. +#nmr_bucketing[0]: passed + + +planemo shed_test -t testtoolshed --install_galaxy --galaxy_branch "dev" + +#All 1 test(s) executed passed. +#testtoolshed.g2.bx.psu.edu/repos/marie-tremblay-metatoul/nmr_bucketing/NmrBucketing/1.0.1[0]: passed |
b |
diff -r 000000000000 -r a99a6026c972 repository_dependencies.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/repository_dependencies.xml Fri Apr 08 10:56:14 2016 -0400 |
b |
@@ -0,0 +1,4 @@ +<?xml version="1.0"?> +<repositories> + <repository changeset_revision="7800ba9a4c1e" name="no_unzip_datatype" owner="lecorguille" toolshed="https://toolshed.g2.bx.psu.edu" /> +</repositories> |
b |
diff -r 000000000000 -r a99a6026c972 static/images/MTH - Architecture repertoire Bruker.png |
b |
Binary file static/images/MTH - Architecture repertoire Bruker.png has changed |
b |
diff -r 000000000000 -r a99a6026c972 static/images/Mth_Travaux.png |
b |
Binary file static/images/Mth_Travaux.png has changed |
b |
diff -r 000000000000 -r a99a6026c972 test-data/MTBLS1.zip |
b |
Binary file test-data/MTBLS1.zip has changed |
b |
diff -r 000000000000 -r a99a6026c972 test-data/MTBLS1_bucketedData.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/MTBLS1_bucketedData.tabular Fri Apr 08 10:56:14 2016 -0400 |
b |
b'@@ -0,0 +1,595 @@\n+Bucket\tADG10003u_007\tADG10003u_008\tADG10003u_009\tADG10003u_010\tADG10003u_015\tADG10003u_016\tADG10003u_017\tADG10003u_021\tADG10003u_022\tADG10003u_023\tADG10003u_051\tADG10003u_052\tADG10003u_053\tADG10003u_066\tADG10003u_067\tADG10003u_071\tADG10003u_072\tADG10003u_073\tADG10003u_087\tADG10003u_088\tADG10003u_089\tADG10003u_097\tADG10003u_098\n+B9.295\t1.79949423217956e-06\t1.36845276225836e-05\t2.01160697683997e-05\t7.25986492795804e-07\t2.42490464839257e-05\t3.11580892214512e-05\t8.19866824235026e-06\t3.09192259268499e-05\t2.64389193821353e-05\t1.45055826888266e-05\t3.45040700032625e-06\t1.60970199365859e-05\t1.05993065753594e-05\t2.90248760646802e-05\t1.06130409475137e-05\t5.2278556041205e-06\t2.44519080406605e-05\t3.7420635381202e-05\t1.57230624459948e-05\t2.75224138622866e-06\t2.08828714579133e-05\t5.49917968773367e-05\t8.22464110337308e-06\n+B9.286\t0.000183987136571742\t4.73741598311689e-05\t6.48220850387143e-05\t4.08486623139604e-05\t0.000124595459054319\t3.41874426311483e-05\t0.000122371178407348\t3.49547713922308e-05\t0.00015628757744243\t2.37737814473545e-05\t5.13987818577577e-05\t0.000134108924379129\t9.59219627606648e-05\t8.44451844992086e-05\t0.00022720535031565\t9.86157895513715e-05\t1.06199525078497e-05\t3.70983827911379e-05\t3.16119098225048e-05\t5.1709215131723e-06\t2.21703993321988e-05\t1.19479684646357e-05\t8.95607890845055e-06\n+B9.276\t6.1185692617288e-05\t0.00020732837726723\t0.00012538786536446\t2.84181782334477e-05\t2.53083682825459e-05\t2.76930477756038e-05\t9.7914592965261e-05\t1.44908072132008e-05\t7.76504143484867e-05\t2.21918164602678e-05\t0.000443221195814841\t0.00034996670727668\t0.000412632862820386\t0.000146364982064243\t0.000101892447453022\t0.00020898968160112\t0.00018589786110267\t0.000307514987819811\t0.000357112398084273\t0.000316352014982079\t0.00021198645013364\t0.000691068949900525\t0.000221146831632783\n+B9.266\t4.50617404358542e-05\t7.7187909059995e-06\t1.52411037411529e-05\t1.10253427920853e-05\t4.1745051441984e-05\t3.63488304424524e-05\t3.3290398209022e-05\t1.13169550474572e-05\t9.45184418976979e-06\t7.6012521812347e-06\t6.92482995870393e-06\t3.8268420757911e-05\t2.37195119946984e-06\t2.86004474506151e-05\t3.22860579421692e-06\t2.96039906990133e-06\t2.52808779783966e-05\t0.000142090898957934\t1.10312630129144e-05\t3.60677293639806e-06\t2.97265975382987e-05\t6.66305467846902e-06\t1.14495101906091e-05\n+B9.255\t1.15660880406503e-05\t2.14664012391468e-05\t4.60009639329725e-06\t1.25395676678615e-05\t4.17248489153109e-05\t1.46532714803481e-05\t1.00057270405122e-05\t2.75328532847705e-05\t2.74077840472564e-05\t2.41894891121703e-06\t8.0400281246103e-06\t1.59037103857697e-05\t1.00611731499731e-06\t6.71681516896861e-06\t1.36105357122668e-05\t7.11442411954162e-06\t2.21537557041547e-05\t2.87845824558775e-05\t4.03717597605331e-05\t1.42618582461408e-05\t1.84330229833385e-05\t6.39363012853215e-05\t2.18920831381193e-05\n+B9.246\t2.03293920474837e-07\t2.02423815996018e-05\t4.96598896737477e-06\t1.35705313106542e-05\t3.41075710581766e-05\t6.53017072634504e-05\t4.43984949390479e-06\t1.63183767828055e-05\t2.72484433555238e-06\t8.78724169594538e-06\t8.95623692386308e-07\t2.45735590368271e-05\t5.26105502709834e-06\t2.37539064007069e-05\t2.19035721346259e-05\t1.50517785846819e-05\t2.16082826646081e-05\t2.53649297518041e-05\t1.32773972605395e-05\t1.00977058894297e-05\t1.55783781762885e-05\t3.76630403674761e-05\t2.14582962168246e-05\n+B9.236\t3.37742336734625e-05\t1.09466424044581e-05\t1.26844396116922e-05\t1.41040509503652e-05\t8.32806751647478e-06\t6.89331798338183e-05\t1.31306116922384e-05\t2.44043814312157e-05\t2.60353424850613e-06\t1.5498729364209e-05\t1.12441000124573e-05\t1.90904945628191e-05\t4.77289113406423e-06\t2.6783614160707e-05\t1.81281101162131e-05\t2.27290178082349e-05\t2.2060579242685e-05\t2.02102446881195e-05\t2.82836945109232e-05\t2.6769889759727e-05\t3.20529608453921e-05\t1.46895321061598e-05\t2.72459848898296e-05\n+B9.226\t1.02347475703096e-05\t1.61525191983677e-05\t6.32740402153627e-06\t2.17291460045977e-06\t3.58860102752402e-05\t5.32064617047859e-05\t3.88074184844747e-06\t1.41925328605111e-05\t3.61825110992116e-05\t1.56626397248238e-05\t1.48898939857621e-0'..b'7579\t0.0232263392642444\t0.00538943800528357\t0.00514775819006039\t0.00559553789396426\t0.0173520429506117\t0.028324033261543\n+B0.876\t0.00215863677466562\t0.00369895246404019\t0.00360045348807487\t0.00134769212206423\t0.00218354336599731\t0.00245532683379321\t0.00345022433982449\t0.000717888096909645\t0.00170401747506495\t0.000356847987108017\t0.0041628951177036\t0.005088145578844\t0.00284987245949532\t0.00268286392210182\t0.00197915272339639\t0.0164744229799929\t0.00871859567919084\t0.0291624658349522\t0.00450433606743076\t0.00467317787458834\t0.00464469278467577\t0.0176322957897126\t0.0298903125539951\n+B0.866\t0.00150013418482023\t0.00258508360037412\t0.00238111738536749\t0.000983712268869988\t0.00157378746779101\t0.00184741600638927\t0.00259613706860757\t0.000530590445564721\t0.00114218607490948\t0.000297719443003154\t0.00236377135640083\t0.00299039447289031\t0.00169838032153178\t0.00202478720109677\t0.00155237208983581\t0.00506508824735588\t0.00335278099612616\t0.00916049409218431\t0.00304824370929634\t0.0028945285734165\t0.0028543532645478\t0.00397438831823791\t0.00746021084696681\n+B0.857\t0.000986962374512856\t0.00174301185204418\t0.00155459274530862\t0.00059744100374567\t0.000946611593982685\t0.00119641009019251\t0.00173321235334005\t0.000356899004924163\t0.000758730491964375\t0.000160811437925477\t0.00152510957100737\t0.00196835887814581\t0.00101457930295155\t0.00150335976451684\t0.00101420955937978\t0.0033735623219071\t0.00210956426055451\t0.00493276854725743\t0.00178283936255044\t0.00165275426730159\t0.00170372495712446\t0.00248870525573775\t0.0039846322834038\n+B0.846\t0.000839825601114667\t0.0012769784113784\t0.00110091918664795\t0.000413961172391942\t0.000708888771217311\t0.000778154520699405\t0.00111234240481985\t0.000244663266226838\t0.000484525523691875\t7.68758960306947e-05\t0.000909219126236251\t0.00113056799032888\t0.000631562997579227\t0.00107030332221529\t0.000634580995745331\t0.00106135884542878\t0.000970558123349218\t0.00157698752726719\t0.00109118524592164\t0.0010809000005087\t0.00117405624971632\t0.00104182637112804\t0.00136932315987551\n+B0.836\t0.000540291147081289\t0.00110805916107828\t0.000991944918364915\t0.000259305489167024\t0.000414200683547401\t0.000446851710747917\t0.000739324952553648\t0.00014512091218808\t0.000240131270356258\t1.53279187890163e-05\t0.000995779500719967\t0.00117589795062701\t0.000663607401633198\t0.00072607607121414\t0.000348533637762843\t0.000814771690737036\t0.000852228105038011\t0.00106417265964175\t0.00106436355116083\t0.00088998568772594\t0.00115577335390134\t0.000793475313473202\t0.000969704476916626\n+B0.826\t0.000439210376659004\t0.000622025753244184\t0.0005877341421479\t0.000201776175879904\t0.000325527630159852\t0.000344597178120722\t0.000468730496980652\t0.000169188243600758\t0.000244354283493434\t1.80591932027473e-05\t0.000645393534597378\t0.00076364124043746\t0.000411619698520102\t0.000416731585656504\t0.000256480294202034\t0.000524752271786902\t0.000676304092825243\t0.000814916554483356\t0.000597779964300897\t0.000807012376046873\t0.000712066733726576\t0.000508127245813254\t0.000691958647587166\n+B0.816\t0.000394076959769821\t0.000626251816952311\t0.000644546372165628\t0.000163741793970591\t0.000294493619073591\t0.000396363737760121\t0.000520046367222883\t0.00012853568638618\t0.000243131055493038\t1.18743008584546e-05\t0.000604929046893319\t0.000717510278393041\t0.000373029125568352\t0.000391937364448496\t0.000234261393789731\t0.000523235700797077\t0.000619868853421147\t0.000730622691788109\t0.000640770168804395\t0.000676985988978989\t0.000745527871203007\t0.00061791716531139\t0.000781012740687151\n+B0.806\t0.000336785447055572\t0.000470318285990568\t0.000447571911175899\t0.00015477142985862\t0.000254766661248894\t0.000300355488014835\t0.000386815449880438\t0.000128859420585409\t0.000182934749398549\t1.11417886043334e-05\t0.0003939533156056\t0.000417332638774188\t0.000210616293653824\t0.000296880999894829\t0.000120837576055159\t0.00033047173709954\t0.000388172417071423\t0.000450376987152908\t0.000452051328977898\t0.000485123182275246\t0.00047918667429437\t0.000397128925502763\t0.000516124725384787\n+B0.8\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\n' |
b |
diff -r 000000000000 -r a99a6026c972 test-data/MTBLS1_sampleMetadata.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/MTBLS1_sampleMetadata.tabular Fri Apr 08 10:56:14 2016 -0400 |
b |
@@ -0,0 +1,24 @@ +Sample SampleOrder +ADG10003u_007 1 +ADG10003u_008 2 +ADG10003u_009 3 +ADG10003u_010 4 +ADG10003u_015 5 +ADG10003u_016 6 +ADG10003u_017 7 +ADG10003u_021 8 +ADG10003u_022 9 +ADG10003u_023 10 +ADG10003u_051 11 +ADG10003u_052 12 +ADG10003u_053 13 +ADG10003u_066 14 +ADG10003u_067 15 +ADG10003u_071 16 +ADG10003u_072 17 +ADG10003u_073 18 +ADG10003u_087 19 +ADG10003u_088 20 +ADG10003u_089 21 +ADG10003u_097 22 +ADG10003u_098 23 |
b |
diff -r 000000000000 -r a99a6026c972 test-data/MTBLS1_variableMetadata.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/MTBLS1_variableMetadata.tabular Fri Apr 08 10:56:14 2016 -0400 |
b |
@@ -0,0 +1,595 @@ +Bucket VariableOrder +B9.295 1 +B9.286 2 +B9.276 3 +B9.266 4 +B9.255 5 +B9.246 6 +B9.236 7 +B9.226 8 +B9.215 9 +B9.206 10 +B9.196 11 +B9.186 12 +B9.175 13 +B9.165 14 +B9.156 15 +B9.146 16 +B9.135 17 +B9.126 18 +B9.116 19 +B9.106 20 +B9.095 21 +B9.085 22 +B9.076 23 +B9.066 24 +B9.055 25 +B9.046 26 +B9.036 27 +B9.026 28 +B9.015 29 +B9.005 30 +B8.996 31 +B8.986 32 +B8.975 33 +B8.966 34 +B8.956 35 +B8.946 36 +B8.935 37 +B8.925 38 +B8.916 39 +B8.905 40 +B8.895 41 +B8.886 42 +B8.876 43 +B8.865 44 +B8.855 45 +B8.845 46 +B8.836 47 +B8.825 48 +B8.815 49 +B8.806 50 +B8.796 51 +B8.785 52 +B8.775 53 +B8.765 54 +B8.756 55 +B8.745 56 +B8.735 57 +B8.726 58 +B8.716 59 +B8.705 60 +B8.695 61 +B8.685 62 +B8.676 63 +B8.665 64 +B8.655 65 +B8.646 66 +B8.636 67 +B8.625 68 +B8.615 69 +B8.605 70 +B8.596 71 +B8.585 72 +B8.575 73 +B8.565 74 +B8.556 75 +B8.545 76 +B8.535 77 +B8.525 78 +B8.516 79 +B8.505 80 +B8.495 81 +B8.485 82 +B8.476 83 +B8.465 84 +B8.455 85 +B8.445 86 +B8.436 87 +B8.425 88 +B8.415 89 +B8.405 90 +B8.396 91 +B8.385 92 +B8.375 93 +B8.365 94 +B8.356 95 +B8.345 96 +B8.335 97 +B8.325 98 +B8.316 99 +B8.305 100 +B8.295 101 +B8.285 102 +B8.276 103 +B8.265 104 +B8.255 105 +B8.245 106 +B8.236 107 +B8.225 108 +B8.215 109 +B8.205 110 +B8.196 111 +B8.185 112 +B8.175 113 +B8.165 114 +B8.156 115 +B8.145 116 +B8.135 117 +B8.125 118 +B8.116 119 +B8.105 120 +B8.096 121 +B8.086 122 +B8.076 123 +B8.065 124 +B8.056 125 +B8.046 126 +B8.036 127 +B8.025 128 +B8.016 129 +B8.006 130 +B7.996 131 +B7.985 132 +B7.976 133 +B7.966 134 +B7.956 135 +B7.945 136 +B7.936 137 +B7.926 138 +B7.916 139 +B7.905 140 +B7.896 141 +B7.886 142 +B7.876 143 +B7.865 144 +B7.856 145 +B7.846 146 +B7.836 147 +B7.825 148 +B7.816 149 +B7.806 150 +B7.796 151 +B7.785 152 +B7.776 153 +B7.766 154 +B7.756 155 +B7.745 156 +B7.736 157 +B7.726 158 +B7.716 159 +B7.705 160 +B7.696 161 +B7.686 162 +B7.676 163 +B7.665 164 +B7.656 165 +B7.646 166 +B7.636 167 +B7.625 168 +B7.616 169 +B7.606 170 +B7.596 171 +B7.585 172 +B7.575 173 +B7.566 174 +B7.556 175 +B7.545 176 +B7.535 177 +B7.526 178 +B7.516 179 +B7.505 180 +B7.495 181 +B7.486 182 +B7.476 183 +B7.465 184 +B7.455 185 +B7.446 186 +B7.436 187 +B7.425 188 +B7.415 189 +B7.406 190 +B7.396 191 +B7.385 192 +B7.375 193 +B7.366 194 +B7.356 195 +B7.345 196 +B7.335 197 +B7.326 198 +B7.316 199 +B7.305 200 +B7.295 201 +B7.286 202 +B7.275 203 +B7.265 204 +B7.255 205 +B7.246 206 +B7.235 207 +B7.225 208 +B7.216 209 +B7.206 210 +B7.195 211 +B7.185 212 +B7.175 213 +B7.166 214 +B7.155 215 +B7.145 216 +B7.136 217 +B7.126 218 +B7.115 219 +B7.105 220 +B7.096 221 +B7.086 222 +B7.075 223 +B7.065 224 +B7.056 225 +B7.046 226 +B7.035 227 +B7.025 228 +B7.016 229 +B7.006 230 +B6.995 231 +B6.985 232 +B6.976 233 +B6.966 234 +B6.955 235 +B6.945 236 +B6.935 237 +B6.926 238 +B6.915 239 +B6.905 240 +B6.895 241 +B6.886 242 +B6.875 243 +B6.865 244 +B6.855 245 +B6.846 246 +B6.835 247 +B6.825 248 +B6.815 249 +B6.806 250 +B6.795 251 +B6.785 252 +B6.775 253 +B6.766 254 +B6.755 255 +B6.745 256 +B6.735 257 +B6.726 258 +B6.715 259 +B6.705 260 +B6.695 261 +B6.686 262 +B6.675 263 +B6.665 264 +B6.655 265 +B6.646 266 +B6.635 267 +B6.625 268 +B6.615 269 +B6.606 270 +B6.595 271 +B6.585 272 +B6.575 273 +B6.566 274 +B6.555 275 +B6.545 276 +B6.535 277 +B6.526 278 +B6.515 279 +B6.505 280 +B6.495 281 +B6.486 282 +B6.475 283 +B6.466 284 +B6.456 285 +B6.446 286 +B6.435 287 +B6.426 288 +B6.416 289 +B6.406 290 +B6.395 291 +B6.386 292 +B6.376 293 +B6.366 294 +B6.355 295 +B6.346 296 +B6.336 297 +B6.326 298 +B6.315 299 +B6.306 300 +B6.296 301 +B6.286 302 +B6.275 303 +B6.266 304 +B6.256 305 +B6.246 306 +B6.235 307 +B6.226 308 +B6.216 309 +B6.206 310 +B6.195 311 +B6.186 312 +B6.176 313 +B6.166 314 +B6.155 315 +B6.146 316 +B6.136 317 +B6.126 318 +B6.115 319 +B6.106 320 +B6.096 321 +B6.086 322 +B6.075 323 +B6.066 324 +B6.056 325 +B6.046 326 +B6.035 327 +B6.026 328 +B6.016 329 +B6.006 330 +B4.236 331 +B4.226 332 +B4.216 333 +B4.205 334 +B4.196 335 +B4.186 336 +B4.176 337 +B4.165 338 +B4.155 339 +B4.146 340 +B4.136 341 +B4.125 342 +B4.115 343 +B4.106 344 +B4.096 345 +B4.085 346 +B4.075 347 +B4.066 348 +B4.056 349 +B4.045 350 +B4.035 351 +B4.026 352 +B4.015 353 +B4.005 354 +B3.995 355 +B3.186 356 +B3.175 357 +B3.166 358 +B3.156 359 +B3.146 360 +B3.135 361 +B3.126 362 +B3.116 363 +B3.106 364 +B3.095 365 +B3.086 366 +B3.076 367 +B3.066 368 +B3.055 369 +B3.046 370 +B3.036 371 +B3.026 372 +B3.015 373 +B3.006 374 +B2.996 375 +B2.986 376 +B2.975 377 +B2.966 378 +B2.956 379 +B2.946 380 +B2.935 381 +B2.926 382 +B2.916 383 +B2.906 384 +B2.895 385 +B2.886 386 +B2.876 387 +B2.866 388 +B2.855 389 +B2.846 390 +B2.836 391 +B2.826 392 +B2.815 393 +B2.806 394 +B2.796 395 +B2.786 396 +B2.775 397 +B2.766 398 +B2.756 399 +B2.746 400 +B2.735 401 +B2.726 402 +B2.716 403 +B2.706 404 +B2.695 405 +B2.686 406 +B2.676 407 +B2.666 408 +B2.655 409 +B2.646 410 +B2.636 411 +B2.626 412 +B2.615 413 +B2.606 414 +B2.596 415 +B2.586 416 +B2.575 417 +B2.566 418 +B2.556 419 +B2.546 420 +B2.535 421 +B2.526 422 +B2.516 423 +B2.506 424 +B2.495 425 +B2.486 426 +B2.476 427 +B2.466 428 +B2.455 429 +B2.446 430 +B2.436 431 +B2.426 432 +B2.415 433 +B2.406 434 +B2.396 435 +B2.385 436 +B2.375 437 +B2.365 438 +B2.356 439 +B2.345 440 +B2.335 441 +B2.325 442 +B2.316 443 +B2.305 444 +B2.295 445 +B2.285 446 +B2.276 447 +B2.265 448 +B2.255 449 +B2.245 450 +B2.236 451 +B2.225 452 +B2.215 453 +B2.205 454 +B2.196 455 +B2.185 456 +B2.175 457 +B2.165 458 +B2.156 459 +B2.145 460 +B2.135 461 +B2.126 462 +B2.116 463 +B2.105 464 +B2.095 465 +B2.086 466 +B2.076 467 +B2.065 468 +B2.055 469 +B2.045 470 +B2.036 471 +B2.025 472 +B2.015 473 +B2.005 474 +B1.994 475 +B1.985 476 +B1.974 477 +B1.964 478 +B1.954 479 +B1.945 480 +B1.934 481 +B1.924 482 +B1.914 483 +B1.905 484 +B1.894 485 +B1.884 486 +B1.874 487 +B1.865 488 +B1.854 489 +B1.844 490 +B1.834 491 +B1.825 492 +B1.814 493 +B1.804 494 +B1.794 495 +B1.785 496 +B1.774 497 +B1.764 498 +B1.754 499 +B1.743 500 +B1.734 501 +B1.723 502 +B1.713 503 +B1.703 504 +B1.694 505 +B1.683 506 +B1.673 507 +B1.663 508 +B1.654 509 +B1.643 510 +B1.633 511 +B1.623 512 +B1.612 513 +B1.603 514 +B1.592 515 +B1.582 516 +B1.572 517 +B1.563 518 +B1.552 519 +B1.542 520 +B1.532 521 +B1.523 522 +B1.512 523 +B1.502 524 +B1.491 525 +B1.482 526 +B1.472 527 +B1.461 528 +B1.451 529 +B1.442 530 +B1.432 531 +B1.421 532 +B1.411 533 +B1.401 534 +B1.392 535 +B1.381 536 +B1.371 537 +B1.36 538 +B1.351 539 +B1.341 540 +B1.33 541 +B1.32 542 +B1.31 543 +B1.301 544 +B1.29 545 +B1.28 546 +B1.27 547 +B1.261 548 +B1.25 549 +B1.239 550 +B1.229 551 +B1.22 552 +B1.21 553 +B1.199 554 +B1.189 555 +B1.18 556 +B1.17 557 +B1.159 558 +B1.149 559 +B1.139 560 +B1.129 561 +B1.119 562 +B1.108 563 +B1.098 564 +B1.089 565 +B1.079 566 +B1.068 567 +B1.058 568 +B1.048 569 +B1.039 570 +B1.028 571 +B1.018 572 +B1.008 573 +B0.998 574 +B0.988 575 +B0.977 576 +B0.967 577 +B0.958 578 +B0.948 579 +B0.937 580 +B0.926 581 +B0.916 582 +B0.907 583 +B0.897 584 +B0.886 585 +B0.876 586 +B0.866 587 +B0.857 588 +B0.846 589 +B0.836 590 +B0.826 591 +B0.816 592 +B0.806 593 +B0.8 594 |
b |
diff -r 000000000000 -r a99a6026c972 tool_dependencies.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/tool_dependencies.xml Fri Apr 08 10:56:14 2016 -0400 |
b |
@@ -0,0 +1,9 @@ +<?xml version="1.0"?> +<tool_dependency> + <package name="R" version="3.1.2"> + <repository changeset_revision="4d2fd1413b56" name="package_r_3_1_2" owner="iuc" toolshed="https://toolshed.g2.bx.psu.edu" /> + </package> + <package name="r-pracma" version="1.8.8"> + <repository changeset_revision="48eb1ff95b33" name="package_r_pracma_1_8_8" owner="lecorguille" toolshed="https://toolshed.g2.bx.psu.edu" /> + </package> +</tool_dependency> |