This function executes a ubuntu docker that produces a specific number of permutations using Seurat as clustering tool.

seuratBootstrap(
group = c("sudo", "docker"),
scratch.folder,
file,
nPerm,
permAtTime,
percent,
separator,
logTen = 0,
seed = 111,
sparse = FALSE,
format = "NULL"
)

## Arguments

group, a character string. Two options: sudo or docker, depending to which group the user belongs a character string indicating the path of the scratch folder a character string indicating the path of the file, with file name and extension included number of permutations to be executed number of permutations computed in parallel percentage of randomly selected cells removed in each permutation separator used in count file, e.g. '\t', ',' 1 if the count matrix is already in log10, 0 otherwise PCs threshold selected using seuratPCAEval function. important value to reproduce the same results with same input boolean for sparse matrix. A sparse matrix is a format that reduces the size of the matrix, considering only positions different from 0. The format supported in rCASC is the one generated by 10XGenomics output: genes.tsv, barcodes.tsv and matrix.tbx. output file format csv or txt. Only required if sparse matrix is used

## Value

A folder Results containing a folder with the name of the experiment, which contains: VioPlot of silhouette cells value for each number of cluster used, a folder with the number of clusters used for SIMLR clustering, which contains: clusterP file with clustering results for each permutation, killedCell file with removed cells in each permutation, clustering.output a sommarize file with general information for each cells

## Author

Luca Alessandri, alessandri [dot] luca1991 [at] gmail [dot] com, University of Torino

## Examples

if (FALSE) {
system("wget http://130.192.119.59/public/section4.1_examples.zip")
unzip("section4.1_examples.zip")
setwd("section4.1_examples")
seuratBootstrap(group="docker",scratch.folder="/data/scratch/",file=paste(getwd(), "bmsnkn_5x100cells.txt", sep="/"), nPerm=160, permAtTime=8, percent=10, separator="\t",logTen=0, pcaDimensions=6, seed=111, sparse=FALSE,format="NULL")
}