Journal
BIOINFORMATICS
Volume 26, Issue 1, Pages 136-138Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp612
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Funding
- National Natural Science Foundation of China [30625012, 60721003, 60905013]
- National Basic Research Program of China [2004CB518605]
- Southeast University of China
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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.
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