Package: gcapc Title: GC Aware Peak Caller Version: 1.37.0 Author: Mingxiang Teng and Rafael A. Irizarry Maintainer: Mingxiang Teng 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: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:44:47 UTC RemoteUrl: https://github.com/bioc/gcapc RemoteRef: HEAD RemoteSha: 16b89e7389affcf403b8fcda0075cec2155f31a7 NeedsCompilation: no Packaged: 2026-07-03 23:47:21 UTC; root