rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data.
Shi, Yang; Chinnaiyan, Arul M.; Jiang, Hui ,,*
[Miscellaneous Article] Bioinformatics. 31(13):2222-2224, July 01, 2015.

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Summary: High-throughput sequencing of transcriptomes (RNA-Seq) has become a powerful tool to study gene expression. Here we present an R package, rSeqNP, which implements a non-parametric approach to test for differential expression and splicing from RNA-Seq data. rSeqNP uses permutation tests to access statistical significance and can be applied to a variety of experimental designs. By combining information across isoforms, rSeqNP is able to detect more differentially expressed or spliced genes from RNA-Seq data.

Availability and implementation: The R package with its source code and documentation are freely available at http://www-personal.umich.edu/~jianghui/rseqnp/.

Contact: [email protected]

Supplementary information: Supplementary data are available at Bioinformatics online.

(C) Copyright Oxford University Press 2015.