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gcapc

GC Aware Peak Caller

Bioconductor version: 3.24 · Package version: 1.37.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("gcapc")

Details

MaintainerMingxiang Teng <tengmx@gmail.com>
AuthorMingxiang Teng and Rafael A. Irizarry
LicenseGPL-3
URLhttps://github.com/tengmx/gcapc
Downloads rank646
Source branchdevel
biocViewsBatchEffect, ChIPSeq, PeakDetection, Sequencing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagegcapc_1.37.0.tar.gz
Windows binary (x86_64)gcapc_1.37.0.zip
macOS binary (arm64)gcapc_1.37.0.tgz
macOS binary (x86_64)gcapc_1.37.0.tgz
Dependencies

Depends: R (>= 3.4)

Imports: BiocGenerics, Seqinfo, S4Vectors, IRanges, Biostrings, BSgenome, GenomicRanges, Rsamtools, GenomicAlignments, matrixStats, MASS, splines, grDevices, graphics, stats, methods

Suggests: BiocStyle, knitr, rmarkdown, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Mmusculus.UCSC.mm10

Reverse dependencies

Suggests Me (1): epigraHMM