Package: gcapc
Title: GC Aware Peak Caller
Version: 1.36.0
Author: Mingxiang Teng and Rafael A. Irizarry
Maintainer: Mingxiang Teng <tengmx@gmail.com>
Description: 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.
Depends: R (>= 3.4)
Imports: BiocGenerics, Seqinfo, S4Vectors, IRanges, Biostrings,
        BSgenome, GenomicRanges, Rsamtools, GenomicAlignments,
        matrixStats, MASS, splines, grDevices, graphics, stats, methods
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, rmarkdown, BSgenome.Hsapiens.UCSC.hg19,
        BSgenome.Mmusculus.UCSC.mm10
URL: https://github.com/tengmx/gcapc
License: GPL-3
biocViews: Sequencing, ChIPSeq, BatchEffect, PeakDetection
RoxygenNote: 6.0.1
Config/pak/sysreqs: make libbz2-dev liblzma-dev libxml2-dev libssl-dev
        xz-utils zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:44:47 UTC
RemoteUrl: https://github.com/bioc/gcapc
RemoteRef: RELEASE_3_23
RemoteSha: 8512c5cf23413c0748182ff23a89a5c64d43e7d0
NeedsCompilation: no
Packaged: 2026-10-09 08:51:37 UTC; root