General Information
| Description | A non-parametric approach for detecting differential expression and splicing from RNA-Seq data |
| Homepage | http://www-personal.umich.edu/~jianghui/rseqnp/ |
Publications
rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data
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:
jianghui@umich.edu
Supplementary information:
Supplementary data are available at Bioinformatics online.
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