CSSQ
Chip-seq Signal Quantifier Pipeline
Bioconductor version: 3.23 · Package version: 1.24.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
This package is desgined to perform statistical analysis to identify statistically significant differentially bound regions between multiple groups of ChIP-seq dataset.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CSSQ")Details
| Maintainer | Fan Lab at Georgia Institute of Technology <yuhong.fan@biology.gatech.edu> |
| Author | Ashwath Kumar [aut], Michael Y Hu [aut], Yajun Mei [aut], Yuhong Fan [aut] |
| License | Artistic-2.0 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | ChIPSeq, DifferentialPeakCalling, Normalization, Sequencing, Software |
| Package Short Url | https://bioconductor.org/packages/CSSQ/ |
Citation
From within R, enter citation("CSSQ"):
Ashwath Kumar, Michael Y Hu, Yajun Mei, Yuhong Fan. CSSQ: Chip-seq Signal Quantifier Pipeline. doi:10.18129/B9.bioc.CSSQ, R package version 1.24.0, https://bioconductor.org/packages/CSSQ.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | CSSQ_1.24.0.tar.gz |
| Windows binary (x86_64) | CSSQ_1.24.0.zip |
| macOS binary (arm64) | CSSQ_1.24.0.tgz |
| macOS binary (x86_64) | CSSQ_1.24.0.tgz |
Dependencies
Depends: SummarizedExperiment, GenomicRanges, IRanges, S4Vectors, rtracklayer
Imports: GenomicAlignments, GenomicFeatures, Rsamtools, ggplot2, grDevices, stats, utils