Package: Brundle
Type: Package
Title: Normalisation Tools for Inter-Condition Variability of ChIP-Seq
        Data
Version: 1.0.9
Author: Andrew N Holding
Maintainer: Andrew N Holding <andrew.holding@cruk.cam.ac.uk>
Description: 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>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), DiffBind, Rsamtools, DESeq2, lattice, stats,
        utils, graphics
RoxygenNote: 6.1.1
biocViews: Software, Technology, Sequencing, ChIPSeq
NeedsCompilation: no
Packaged: 2019-04-23 17:58:46 UTC; holdin01
Repository: CRAN
Date/Publication: 2019-04-23 22:00:23 UTC
Built: R 4.1.2; ; 2022-05-12 23:15:07 UTC; unix
