ChIPSeqSpike

DOI: 10.18129/B9.bioc.ChIPSeqSpike    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see ChIPSeqSpike.

ChIP-Seq data scaling according to spike-in control

Bioconductor version: 3.7

Chromatin Immuno-Precipitation followed by Sequencing (ChIP-Seq) is used to determine the binding sites of any protein of interest, such as transcription factors or histones with or without a specific modification, at a genome scale. The many steps of the protocol can introduce biases that make ChIP-Seq more qualitative than quantitative. For instance, it was shown that global histone modification differences are not caught by traditional downstream data normalization techniques. A case study reported no differences in histone H3 lysine-27 trimethyl (H3K27me3) upon Ezh2 inhibitor treatment. To tackle this problem, external spike-in control were used to keep track of technical biases between conditions. Exogenous DNA from a different non-closely related species was inserted during the protocol to infer scaling factors that enabled an accurate normalization, thus revealing the inhibitor effect. ChIPSeqSpike offers tools for ChIP-Seq spike-in normalization. Ready to use scaled bigwig files and scaling factors values are obtained as output. ChIPSeqSpike also provides tools for ChIP-Seq spike-in assessment and analysis through a versatile collection of graphical functions.

Author: Nicolas Descostes

Maintainer: Nicolas Descostes <nicolas.descostes at gmail.com>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ChIPSeqSpike")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ChIPSeqSpike")

 

PDF	R Script	ChIPSeqSpike
PDF		Reference Manual
Text		NEWS

Details

biocViews	ChIPSeq, Coverage, DataImport, DifferentialMethylation, Epigenetics, HistoneModification, Normalization, Sequencing, Software, Transcription
Version	1.0.0
License	Artistic-2.0
Depends	R (>= 3.5), rtracklayer(>= 1.37.6)
Imports	tools, stringr, Rsamtools, GenomicRanges, IRanges, seqplots, ggplot2, LSD, corrplot, methods, stats, grDevices, graphics, utils, BiocGenerics, S4Vectors
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL
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	ChIPSeqSpike_1.0.0.tar.gz
Windows Binary	ChIPSeqSpike_1.0.0.zip
Mac OS X 10.11 (El Capitan)	ChIPSeqSpike_1.0.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/ChIPSeqSpike
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ChIPSeqSpike
Package Short Url	http://bioconductor.org/packages/ChIPSeqSpike/
Package Downloads Report	Download Stats