Brundle (1.0.9)

0 users

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

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.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of Brundle yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for Brundle on google, google scholar, r-help, r-devel.

Visit Brundle on R Graphical Manual.