GeneTrail--advanced gene set enrichment analysis

Christina Backes(Saarland University), Andreas Keller(Saarland University), Jan Kuentzer(Saarland University), Benny Kneissl(Saarland University), Nicole Comtesse(Saarland University), Yasser A. Elnakady(Saarland University), Rolf Müller(Saarland University), Eckart Meese(Saarland University), Hans‐Peter Lenhof(Saarland University)
Nucleic Acids Research
May 8, 2007
Cited by 345Open Access
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Abstract

We present a comprehensive and efficient gene set analysis tool, called 'GeneTrail' that offers a rich functionality and is easy to use. Our web-based application facilitates the statistical evaluation of high-throughput genomic or proteomic data sets with respect to enrichment of functional categories. GeneTrail covers a wide variety of biological categories and pathways, among others KEGG, TRANSPATH, TRANSFAC, and GO. Our web server provides two common statistical approaches, 'Over-Representation Analysis' (ORA) comparing a reference set of genes to a test set, and 'Gene Set Enrichment Analysis' (GSEA) scoring sorted lists of genes. Besides other newly developed features, GeneTrail's statistics module includes a novel dynamic-programming algorithm that improves the P-value computation of GSEA methods considerably. GeneTrail is freely accessible at http://genetrail.bioinf.uni-sb.de.


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