DEGseq

An R package for Identifying Differentially Expressed Genes from RNA-seq data

This R package provides methods to identify differentially expressed genes from RNA-seq data.

Authors	Likun Wang, Zhixing Feng, Xi Wang, Xiaowo Wang, and Xuegong Zhang
Maintainer	Likun Wang <wanglikun at tsinghua.edu.cn>

MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST / Department of Automation, Tsinghua University, Beijing 100084, China.

This package now is available at bioconductor (>= 2.5) DEGseq 1.0.5.

Documentation

How to use the DEGseq Package	PDF

Details

Depends	R (>= 2.8.0), qvalue, samr, methods
Imports	methods, tcltk
System Requirements	Memory > 1G
License	LGPL version 2 or newer

Package Downloads From Bioconductor

Package source	DEGseq_1.0.5.tar.gz
Windows binary	DEGseq_1.0.5.zip
MacOS X (Tiger) binary	DEGseq_1.0.5.tgz
MacOS X (Leopard) binary	DEGseq_1.0.5.tgz

Feedback

Comments, suggustions, questions, bug reports, etc, are all welcome. For enquiries, please send emails to wanglikun at tsinghua.edu.cn.

Citation

If you use the package, please cite us in the following way:
Likun Wang, Zhixing Feng, Xi Wang, Xiaowo Wang, and Xuegong Zhang, DEGseq: an R package for identifying differentially expressed genes from RNA-seq data, Bioinformatics, 1 January 2010; 26: 136 - 138. (Abstract).