Brundle (1.0.9)

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

http://cran.r-project.org/web/packages/Brundle

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) .

Maintainer: Andrew N Holding
Author(s): Andrew N Holding

License: CC BY 4.0

Uses: lattice

Released 8 months ago.


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