BaalChIP
This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see BaalChIP.
BaalChIP: Bayesian analysis of allele-specific transcription factor binding in cancer genomes
Bioconductor version: 3.17
The package offers functions to process multiple ChIP-seq BAM files and detect allele-specific events. Computes allele counts at individual variants (SNPs/SNVs), implements extensive QC steps to remove problematic variants, and utilizes a bayesian framework to identify statistically significant allele- specific events. BaalChIP is able to account for copy number differences between the two alleles, a known phenotypical feature of cancer samples.
Author: Ines de Santiago, Wei Liu, Ke Yuan, Martin O'Reilly, Chandra SR Chilamakuri, Bruce Ponder, Kerstin Meyer, Florian Markowetz
Maintainer: Ines de Santiago <inesdesantiago at gmail.com>
citation("BaalChIP")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BaalChIP")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BaalChIP")
Analyzing ChIP-seq and FAIRE-seq data with the BaalChIP package | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Bayesian, ChIPSeq, Sequencing, Software |
Version | 1.26.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (7.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.3.1), GenomicRanges, IRanges, Rsamtools |
Imports | GenomicAlignments, GenomeInfoDb, doParallel, parallel, doBy, reshape2, scales, coda, foreach, ggplot2, methods, utils, graphics, stats |
System Requirements | |
URL |
See More
Suggests | RUnit, BiocGenerics, knitr, rmarkdown, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | BaalChIP_1.26.0.tar.gz |
Windows Binary | BaalChIP_1.26.0.zip |
macOS Binary (x86_64) | BaalChIP_1.26.0.tgz |
macOS Binary (arm64) | BaalChIP_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/BaalChIP |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BaalChIP |
Bioc Package Browser | https://code.bioconductor.org/browse/BaalChIP/ |
Package Short Url | https://bioconductor.org/packages/BaalChIP/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |