Nov 102015
 

GSAA 2.0 / GSAA-SNP / GSAA-Seq

:: DESCRIPTION

GSAA (Gene Set Association Analysis) is a computational method that integrates gene expression analysis with genome wide association studies to determine whether an a priori defined sets of genes shows statistically significant, concordant differences with respect to gene expression profiles and genotypes between two biological states. Gene sets are generally a group of genes that are putatively functionally related, co-regulated, or tightly linked on the same chromosome.

GSAA-SNP (Gene Set Association Analysis-SNP) is a computational method that determines whether an a priori defined sets of genes shows statistically significant, concordant differences with respect to genotypes between two biological states. Gene sets are generally a group of genes that are putatively functionally related, co-regulated, or tightly linked on the same chromosome.

GSAA-Seq (Gene Set Association Analysis for RNA-Seq) is a computational method that evaluates whether an a priori defined sets of genes shows statistically significant, concordant differences with respect to RNA-Seq gene expression profiles between two biological states. Gene sets are generally a group of genes that are putatively functionally related, co-regulated, or tightly linked on the same chromosome.

::DEVELOPER

Furey Lab at The University of North Carolina at Chapel Hill and Mukherjee Lab at Duke University.

:: SCREENSHOTS

GSAA

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Java

:: DOWNLOAD

  GSAA / GSAA-SNP / GSAA-Seq

:: MORE INFORMATION

Citation

GSAASeqSP: a toolset for gene set association analysis of RNA-Seq data.
Xiong Q, Mukherjee S, Furey TS.
Sci Rep. 2014 Sep 12;4:6347. doi: 10.1038/srep06347.

Genome Res. 2012 Feb;22(2):386-97. doi: 10.1101/gr.124370.111. Epub 2011 Sep 22.
Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets.
Xiong Q, Ancona N, Hauser ER, Mukherjee S, Furey TS.

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