#' @title Running SCnorm normalization
#' @description This function is a wrapper for SCnorm: robust normalization of single-cell RNA-seq data (Bacher et al. Nature Methods 2017, 14:584–586)
#' @param group, a character string. Two options: sudo or docker, depending to which group the user belongs
#' @param file, a character string indicating the path of the file. IMPORTANT: full path to the file MUST be included. Only tab delimited files are supported
#' @param outputName, specify the path and/or name of output files.
#' @param normMethod, a string identifying the normalization method: CLR_FN, DESEQ_FN, FQ_FN, SCRAN_FN, SUM_FN, TMM_FN, UQ_FN, more info on the vignette.
#' @return a tab delimited file containing the normalized data.
#' @examples
#' \dontrun{
#' #downloading fastq files
#' system("wget http://130.192.119.59/public/example_UMI.txt.zip")
#' unzip("example_UMI.txt.zip")
#' umiNorm(group="docker", file=paste(getwd(), "example_UMI.txt", sep="/"),
#' outputName="example_UMI", normMethod="TMM_FN")
#' }
#' @export
umiNorm <- function(group=c("sudo","docker"), file, outputName, normMethod=c("CLR_FN", "DESEQ_FN", "FQ_FN", "SCRAN_FN", "SUM_FN", "TMM_FN", "UQ_FN")){
home <- getwd()
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]
if(format=="txt"){
counts.matrix <- paste(matrixName, format, sep=".")
}else{
cat("\nOnly tab delimited files with extention txt are supported\n")
return("Not a tab delimited file")
}
#running time 1
ptm <- proc.time()
#running time 1
test <- dockerTest()
if(!test){
cat("\nERROR: Docker seems not to be installed in your system\n")
return()
}
setwd(data.folder)
params <- paste("--cidfile ",data.folder,"/dockerID -v ", data.folder,":/data -d docker.io/repbioinfo/scone.2018.01 Rscript /bin/scone.R ",counts.matrix," ", paste(outputName, format, sep=".")," ", normMethod, sep="")
resultRun <- runDocker(group=group, params=params)
# if(group=="sudo"){
# params <- paste("--cidfile ",data.folder,"/dockerID -v ", data.folder,":/data -d docker.io/repbioinfo/scone.2018.01 Rscript /bin/scone.R ",counts.matrix," ", outputName," ", normMethod, sep="")
# resultRun <- runDocker(group="sudo",container="docker.io/repbioinfo/scone.2018.01", params=params)
# }else{
# params <- paste("--cidfile ",data.folder,"/dockerID -v ", data.folder,":/data -d docker.io/repbioinfo/scone.2018.01 Rscript /bin/scone.R ",counts.matrix," ", outputName," ",normMethod, sep="")
# resultRun <- runDocker(group="docker",container="docker.io/repbioinfo/scone.2018.01", params=params)
# }
if(resultRun==0){
cat("\nScone is finished\n")
}
#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("casc scone user run time mins ",ptm[1]/60, sep="")
tmp.run[length(tmp.run)+1] <- paste("casc scone system run time mins ",ptm[2]/60, sep="")
tmp.run[length(tmp.run)+1] <- paste("casc scone elapsed run time mins ",ptm[3]/60, sep="")
writeLines(tmp.run,"run.info")
}else{
tmp.run <- NULL
tmp.run[1] <- paste("casc user run time mins ",ptm[1]/60, sep="")
tmp.run[length(tmp.run)+1] <- paste("casc scone system run time mins ",ptm[2]/60, sep="")
tmp.run[length(tmp.run)+1] <- paste("casc scone 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), " >& ", "scone_", substr(container.id,1,12),".log", sep=""))
#removing temporary folder
cat("\n\nRemoving the temporary file ....\n")
system("rm -fR anno.info")
system("rm -fR dockerID")
system(paste("cp ",paste(path.package(package="rCASC"),"containers/containers.txt",sep="/")," ",data.folder, sep=""))
system(paste("docker rm ", container.id, sep=""))
setwd(home)
}
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