Journal Article

DEGseq: an R package for identifying differentially expressed genes from RNA-seq data

Likun Wang, Zhixing Feng, Xi Wang, Xiaowo Wang and Xuegong Zhang

in Bioinformatics

Volume 26, issue 1, pages 136-138
Published in print January 2010 | ISSN: 1367-4803
Published online October 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp612
DEGseq: an R package for identifying differentially expressed genes from RNA-seq data

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Summary: High-throughput RNA sequencing (RNA-seq) is rapidly emerging as a major quantitative transcriptome profiling platform. Here, we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples. In this package, we integrated three existing methods, and introduced two novel methods based on MA-plot to detect and visualize gene expression difference.

Availability: The R package and a quick-start vignette is available at http://bioinfo.au.tsinghua.edu.cn/software/degseq

Contact: xwwang@tsinghua.edu.cn; zhangxg@tsinghua.edu.cn

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  1717 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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