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chipseqDB

A Bioconductor Workflow to Detect Differential Binding in ChIP-seq Data


Bioconductor version: Release (3.18)

Describes a computational workflow for performing a DB analysis with sliding windows. The aim is to facilitate the practical implementation of window-based DB analyses by providing detailed code and expected output. The workflow described here applies to any ChIP-seq experiment with multiple experimental conditions and multiple biological samples in one or more of the conditions. It detects and summarizes DB regions between conditions in a de novo manner, i.e., without making any prior assumptions about the location or width of bound regions. Detected regions are then annotated according to their proximity to genes.

Author: Aaron Lun [aut, cre], Gordon Smyth [aut]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("chipseqDB")

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("chipseqDB")
1. Introduction HTML
2. Differential enrichment of H3K9ac in B cells HTML
3. Differential binding of CBP in fibroblasts HTML R Script
4. Differential enrichment of H3K27me3 in lung epithelium HTML

Details

biocViews EpigeneticsWorkflow, ImmunoOncologyWorkflow, Workflow
Version 1.26.0
License Artistic-2.0
Depends
Imports
System Requirements
URL https://www.bioconductor.org/help/workflows/chipseqDB/
See More
Suggests chipseqDBData, BiocStyle, BiocFileCache, ChIPpeakAnno, Gviz, Rsamtools, TxDb.Mmusculus.UCSC.mm10.knownGene, csaw, edgeR, knitr, org.Mm.eg.db, rtracklayer, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me

Package Archives

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

Source Package chipseqDB_1.26.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/chipseqDB
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/chipseqDB
Package Short Url https://bioconductor.org/packages/chipseqDB/
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