jg.controlPeakset

<p>This data set is a matrix of example control peaks for normalisation of ChIP-seq data</p>

Inter-sample condition variability is a key challenge of normalising ChIP-seq data. This implementation uses either spike-in or a second factor as a control for normalisation. Input can either be from 'DiffBind' or a matrix formatted for 'DESeq2'. The output is either a 'DiffBind' object or the default 'DESeq2' output. Either can then be processed as normal. Supporting manuscript Guertin, Markowetz and Holding (2017) <doi:10.1101/182261>.

Andrew Holding

Brundle

Normalisation Tools for Inter-Condition Variability of ChIP-Seq
Data

jg.controlPeakset function

<p>a matrix of locations and counts per control sample</p>

jg.controlPeakset: Example ChIP-seq Control Peakset

Description

Usage

Arguments

Format