#' @title hfc, heatmap for clustering
#' @description This function generate heatmap and other plot based on clustering and on a specific gene list
#' @param group, a character string. Two options: sudo or docker, depending to which group the user belongs
#' @param scratch.folder, a character string indicating the path of the scratch folder
#' @param file, a character string indicating the path of the file, with file name and extension included
#' @param nCluster, nCluster interested for the analysis
#' @param separator, separator used in count file, e.g. '\\t', ','
#' @param lfn, name of the list of genes
#' @param geneNameControl, 0 if the matrix has gene name without ENSEMBL geneID. 1 if the gene names is formatted as: ENSMUSG00000000001:Gnai3. If the gene names is made only by ensamble name, scannoByGtf has to be run first.
#' @param status, 0 if is raw count, 1 otherwise
#' @param b1, the lower range of signal in the heatmap,for negative value write "/-5". To ask the function to do automatic value assignment set 0
#' @param b2, the upper range of signal in the heatmap,for negative value write "/-2". To ask the function to do automatic value assignment set 0
#' @author Luca Alessandri , alessandri [dot] luca1991 [at] gmail [dot] com, University of Torino
#'
#' @return stability plot for each nCluster,two files with score information for each cell for each permutation.
#' @examples
#'\dontrun{
#'hfc("docker","/home/lucastormreig/scratch/","/home/lucastormreig/CASC7.2/6_1hfc/Data/random_10000_filtered_annotated_lorenz_naive_penta2_0",6,",","naive")#
#'}
#' @export
hfc <- function(group=c("sudo","docker"), scratch.folder,file,nCluster,separator,lfn,geneNameControl=1,status,b1=0,b2=0){
data.folder=dirname(file)
positions=length(strsplit(basename(file),"\\.")[[1]])
matrixNameC=strsplit(basename(file),"\\.")[[1]]
matrixName=paste(matrixNameC[seq(1,positions-1)],collapse="")
format=strsplit(basename(basename(file)),"\\.")[[1]][positions]
#running time 1
ptm <- proc.time()
#setting the data.folder as working folder
if (!file.exists(data.folder)){
cat(paste("\nIt seems that the ",data.folder, " folder does not exist\n"))
return(2)
}
#storing the position of the home folder
home <- getwd()
setwd(data.folder)
#initialize status
system("echo 0 > ExitStatusFile 2>&1")
#testing if docker is running
test <- dockerTest()
if(!test){
cat("\nERROR: Docker seems not to be installed in your system\n")
system("echo 10 > ExitStatusFile 2>&1")
setwd(home)
return(10)
}
#check if scratch folder exist
if (!file.exists(scratch.folder)){
cat(paste("\nIt seems that the ",scratch.folder, " folder does not exist\n"))
system("echo 3 > ExitStatusFile 2>&1")
setwd(data.folder)
return(3)
}
tmp.folder <- gsub(":","-",gsub(" ","-",date()))
scrat_tmp.folder=file.path(scratch.folder, tmp.folder)
writeLines(scrat_tmp.folder,paste(data.folder,"/tempFolderID", sep=""))
cat("\ncreating a folder in scratch folder\n")
dir.create(file.path(scrat_tmp.folder))
#preprocess matrix and copying files
if(separator=="\t"){
separator2="tab"
}else{separator2=separator}
if(geneNameControl==0){
system(paste("cp ",data.folder,"/",matrixName,".",format," ",data.folder,"/",matrixName,"_old.",format,sep=""))
mainMatrix=read.table(paste(data.folder,"/",matrixName,".",format,sep=""),header=TRUE,row.names=1,sep=separator)
rownames(mainMatrix)=paste(seq(1,nrow(mainMatrix)),":",rownames(mainMatrix),sep="")
write.table(mainMatrix,paste(data.folder,"/",matrixName,".",format,sep=""),sep=separator,col.names=NA)
}
if (!file.exists(paste(data.folder,"/Results/",matrixName,"/",sep=""))){
cat(paste("\nIt seems that some file are missing, check that your previously analysis results are still in the same folder,check Results folder!\n"))
system("echo 3 > ExitStatusFile 2>&1")
setwd(data.folder)
return(3)
}
if (!file.exists(paste(data.folder,"/",lfn,".",format,sep=""))){
cat(paste("\n It Seems that your genes list is not in ",data.folder,"\n"))
cat(paste("\n ",data.folder,"/",lfn,".",format," does not exists \n",sep=""))
system("echo 3 > ExitStatusFile 2>&1")
setwd(data.folder)
return(3)
}
system(paste("cp -r ",data.folder,"/Results/* ",scrat_tmp.folder,sep=""))
system(paste("cp ",data.folder,"/",matrixName,".",format," ",scrat_tmp.folder,sep=""))
system(paste("cp ",data.folder,"/",lfn,".",format," ",scrat_tmp.folder,sep=""))
#executing the docker job
params <- paste("--cidfile ",data.folder,"/dockerID -v ",scrat_tmp.folder,":/scratch -v ", data.folder, ":/data -d docker.io/repbioinfo/hfc Rscript /home/main.R ",matrixName," ",nCluster," ",format," ",separator2," ",lfn," ",status," ",b1," ",b2, sep="")
resultRun <- runDocker(group=group, params=params)
#waiting for the end of the container work
if(resultRun==0){
#system(paste("cp ", scrat_tmp.folder, "/* ", data.folder, sep=""))
}
#running time 2
ptm <- proc.time() - ptm
dir <- dir(data.folder)
dir <- dir[grep("run.info",dir)]
if(length(dir)>0){
con <- file("run.info", "r")
tmp.run <- readLines(con)
close(con)
tmp.run[length(tmp.run)+1] <- paste("user run time mins ",ptm[1]/60, sep="")
tmp.run[length(tmp.run)+1] <- paste("system run time mins ",ptm[2]/60, sep="")
tmp.run[length(tmp.run)+1] <- paste("elapsed run time mins ",ptm[3]/60, sep="")
writeLines(tmp.run,"run.info")
}else{
tmp.run <- NULL
tmp.run[1] <- paste("run time mins ",ptm[1]/60, sep="")
tmp.run[length(tmp.run)+1] <- paste("system run time mins ",ptm[2]/60, sep="")
tmp.run[length(tmp.run)+1] <- paste("elapsed run time mins ",ptm[3]/60, sep="")
writeLines(tmp.run,"run.info")
}
#saving log and removing docker container
container.id <- readLines(paste(data.folder,"/dockerID", sep=""), warn = FALSE)
system(paste("docker logs ", substr(container.id,1,12), " &> ",data.folder,"/", substr(container.id,1,12),".log", sep=""))
system(paste("docker rm ", container.id, sep=""))
#Copy result folder
cat("Copying Result Folder")
system(paste("cp -r ",scrat_tmp.folder,"/* ",data.folder,"/Results/",sep=""))
#removing temporary folder
cat("\n\nRemoving the temporary file ....\n")
system(paste("rm -R ",scrat_tmp.folder))
system("rm -fR out.info")
system("rm -fR dockerID")
system("rm -fR tempFolderID")
system(paste("cp ",paste(path.package(package="rCASC"),"containers/containers.txt",sep="/")," ",data.folder, sep=""))
setwd(home)
}
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