Package: rmspc 1.18.0

Meriem Bahda

rmspc: Multiple Sample Peak Calling

The rmspc package runs MSPC (Multiple Sample Peak Calling) software using R. The analysis of ChIP-seq samples outputs a number of enriched regions (commonly known as "peaks"), each indicating a protein-DNA interaction or a specific chromatin modification. When replicate samples are analyzed, overlapping peaks are expected. This repeated evidence can therefore be used to locally lower the minimum significance required to accept a peak. MSPC uses combined evidence from replicated experiments to evaluate peak calling output, rescuing peaks, and reduce false positives. It takes any number of replicates as input and improves sensitivity and specificity of peak calling on each, and identifies consensus regions between the input samples.

Authors:Vahid Jalili [aut], Marzia Angela Cremona [aut], Fernando Palluzzi [aut], Meriem Bahda [aut, cre]

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manual.pdf |manual.html
card.svg |card.png
rmspc/json (API)
NEWS

# Install 'rmspc' in R:
install.packages('rmspc', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/genometric/mspc/issues

On BioConductor:rmspc-1.19.0(bioc 3.24)rmspc-1.18.0(bioc 3.23)

chipseqsequencingchiponchipdataimportrnaseqanalysischip-seqenriched-regionsgenome-analysismspcnext-generation-sequencingngs-analysisoverlapping-peakspeakpeaks

4.14 score 21 stars 11 scripts 325 downloads 1 exports 59 dependencies

Last updated from:4ab6dc380d (on RELEASE_3_23). Checks:1 NOTE, 3 ERROR, 5 WARNING, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE182
linux-devel-x86_64ERROR340
source / vignettesERROR264
linux-release-x86_64ERROR372
macos-release-arm64WARNING271
macos-oldrel-arm64WARNING195
windows-develWARNING257
windows-releaseWARNING239
windows-oldrelWARNING217
wasm-releaseOK142

Exports:mspc

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitopscigarilloclicodetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicRangesgluehttrIRangesjsonlitelambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmimeopensslprocessxpsR6RCurlrestfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsSeqinfosnowSparseArraystringistringrSummarizedExperimentsysvctrsXMLXVectoryaml