hpgltools | R Documentation |
This provides a series of helpers for working with sequencing data
It falls under a few main topics
Data exploration, look for trends in sequencing data and identify batch effects or skewed distributions.
Differential expression analyses, use DESeq2/limma/EdgeR in a hopefully robust and flexible fashion.
Ontology analyses, use goseq/clusterProfiler/topGO/GOStats/gProfiler in hopefully robust ways.
Perform some simple TnSeq analyses.
To see examples of this in action, check out the vignettes:
browseVignettes(package = 'hpgltools')
Maintainer: Ashton Belew abelew@gmail.com
Authors:
Keith Hughitt khughitt@umd.edu
Jerry Zhao zhaojerry123@gmail.com
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