PyDESeq2: a python package for bulk RNA-seq differential expression analysis
bioRxiv (Cold Spring Harbor Laboratory)(2022)
摘要
Summary We present PyDESeq2, a python implementation of the DESeq2 workflow for differential expression analysis on bulk RNA-seq data. This implementation achieves better precision, allows speed improvements on large datasets, as shown in experiments on TCGA data, and can be more easily interfaced with modern python-based data science tools.
Availability and Implementation PyDESeq2 is released as an open-source software under the MIT license. The source code is available on GitHub at .
Contact boris.muzellec{at}owkin.com
### Competing Interest Statement
The authors are employees of Owkin, Inc.
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关键词
differential expression,python package,rna-seq
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