GSAASeqSP: a toolset for gene set association analysis of RNA-Seq data.

ABSTRACT: RNA-Seq is quickly becoming the preferred method for comprehensively characterizing whole transcriptome activity, and the analysis of count data from RNA-Seq requires new computational tools. We developed GSAASeqSP, a novel toolset for genome-wide gene set association analysis of sequence count data. This toolset offers a variety of statistical procedures via combinations of multiple gene-level and gene set-level statistics, each having their own strengths under different sample and experimental conditions. These methods can be employed independently, or results generated from multiple or all methods can be integrated to determine more robust profiles of significantly altered biological pathways. Using simulations, we demonstrate the ability of these methods to identify association signals

SUBMITTER: Xiong Q 

PROVIDER: S-EPMC4161965 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature