DOI: 10.18129/B9.bioc.CSSQ  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see CSSQ.

Chip-seq Signal Quantifier Pipeline

Bioconductor version: 3.17

This package is desgined to perform statistical analysis to identify statistically significant differentially bound regions between multiple groups of ChIP-seq dataset.

Author: Ashwath Kumar [aut], Michael Y Hu [aut], Yajun Mei [aut], Yuhong Fan [aut]

Maintainer: Fan Lab at Georgia Institute of Technology <yuhong.fan at biology.gatech.edu>

Citation (from within R, enter citation("CSSQ")):


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HTML R Script Introduction to CSSQ
PDF   Reference Manual


biocViews ChIPSeq, DifferentialPeakCalling, Normalization, Sequencing, Software
Version 1.12.1
In Bioconductor since BioC 3.11 (R-4.0) (3.5 years)
License Artistic-2.0
Depends SummarizedExperiment, GenomicRanges, IRanges, S4Vectors, rtracklayer
Imports GenomicAlignments, GenomicFeatures, Rsamtools, ggplot2, grDevices, stats, utils
Suggests BiocStyle, knitr, rmarkdown, markdown
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CSSQ_1.12.1.tar.gz
Windows Binary CSSQ_1.12.1.zip (64-bit only)
macOS Binary (x86_64) CSSQ_1.12.1.tgz
macOS Binary (arm64) CSSQ_1.12.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/CSSQ
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CSSQ
Bioc Package Browser https://code.bioconductor.org/browse/CSSQ/
Package Short Url https://bioconductor.org/packages/CSSQ/
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