Package: gcapc 1.36.0

Mingxiang Teng

gcapc: GC Aware Peak Caller

Peak calling for ChIP-seq data with consideration of potential GC bias in sequencing reads. GC bias is first estimated with generalized linear mixture models using effective GC strategy, then applied into peak significance estimation.

Authors:Mingxiang Teng and Rafael A. Irizarry

gcapc_1.36.0.tar.gz
gcapc_1.36.0.zip(r-4.7)gcapc_1.36.0.zip(r-4.6)gcapc_1.36.0.zip(r-4.5)
gcapc_1.36.0.tgz(r-4.6-any)gcapc_1.36.0.tgz(r-4.5-any)
gcapc_1.36.0.tar.gz(r-4.7-any)gcapc_1.36.0.tar.gz(r-4.6-any)
gcapc_1.36.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gcapc/json (API)
NEWS

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

Bug tracker:https://github.com/tengmx/gcapc/issues

On BioConductor:gcapc-1.37.0(bioc 3.24)gcapc-1.36.0(bioc 3.23)

sequencingchipseqbatcheffectpeakdetection

5.38 score 10 stars 16 scripts 442 downloads 7 exports 50 dependencies

Last updated from:8512c5cf23 (on RELEASE_3_23). Checks:4 ERROR, 6 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR287
linux-devel-x86_64OK690
source / vignettesOK479
linux-release-x86_64OK554
macos-release-arm64OK351
macos-oldrel-arm64OK382
windows-develERROR446
windows-releaseERROR388
windows-oldrelERROR481
wasm-releaseOK238

Exports:bindWidthgcapcPeaksgcEffectspeaksCATread5endCoveragerefinePeaksrefineSites

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopsBSgenomecigarillocodetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicRangeshttrIRangesjsonlitelambda.rlatticeMASSMatrixMatrixGenericsmatrixStatsmimeopensslR6RCurlrestfulrRhtslibrjsonRsamtoolsrtracklayerS4ArraysS4VectorsSeqinfosnowSparseArraySummarizedExperimentsysXMLXVectoryaml

The gcapc user's guide

Rendered fromgcapc.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2017-06-08
Started: 2016-10-19