This is the released version of BaalChIP; for the devel version, see BaalChIP.
BaalChIP: Bayesian analysis of allele-specific transcription factor binding in cancer genomesBioconductor version: Release (3.21)
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 (from within R, entercitation("BaalChIP")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo 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 PDF NEWS Text Details biocViews Bayesian, ChIPSeq, Sequencing, Software Version 1.34.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 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 Package Archives
Follow Installation instructions to use this package in your R session.
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