pipleline.R
makePipelineFile
creates pipleline.R
for sourcing with
source("pipleline.R")
to run a whole IBD segment
extraction pipeline.
makePipelineFile(fileName,shiftSize=5000,intervalSize=10000,haplotypes=FALSE,dosage=FALSE)
vcf
format
makePipelineFile
creates Pipleline.R
for sourcing with
source("pipleline.R")
to run a whole IBD segment extraction pipeline.
Attention: this code may run a while for large data sets.
S. Hochreiter et al., ‘FABIA: Factor Analysis for Bicluster Acquisition’, Bioinformatics 26(12):1520-1527, 2010.
IBDsegment-class
,
IBDsegmentList-class
,
analyzeIBDsegments
,
compareIBDsegmentLists
,
extractIBDsegments
,
findDenseRegions
,
hapFabia
,
hapFabiaVersion
,
hapRes
,
chr1ASW1000G
,
IBDsegmentList2excel
,
identifyDuplicates
,
iterateIntervals
,
makePipelineFile
,
matrixPlot
,
mergeIBDsegmentLists
,
mergedIBDsegmentList
,
plotIBDsegment
,
res
,
setAnnotation
,
setStatistics
,
sim
,
simu
,
simulateIBDsegmentsFabia
,
simulateIBDsegments
,
split_sparse_matrix
,
toolsFactorizationClass
,
vcftoFABIA
old_dir <- getwd()
setwd(tempdir())
makePipelineFile(fileName="genotypeData",
shiftSize=500,intervalSize=1000)
a <- scan(file = "pipeline.R",
what = "character")
cat(a)
setwd(old_dir)
Run the code above in your browser using DataLab