CRAN/E | Brundle

Brundle

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

Installation

About

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.

Key Metrics

Version 1.0.9
R ≥ 2.10
Published 2019-04-23 1829 days ago
Needs compilation? no
License CC BY 4.0
CRAN checks Brundle results

Downloads

Yesterday 0
Last 7 days 5 -50%
Last 30 days 42 -21%
Last 90 days 151 -37%
Last 365 days 1.449 -48%

Maintainer

Maintainer

Andrew N Holding

andrew.holding@cruk.cam.ac.uk

Authors

Andrew N Holding

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Brundle archive

Depends

R ≥ 2.10
DiffBind
Rsamtools
DESeq2
lattice
stats
utils
graphics