GeneTrail--advanced gene set enrichment analysis.
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.
Backes
Christina
C
Center for Bioinformatics, Saarland University, Building E1.1, 66041 Saarbrücken, Germany. cbackes@bioinf.uni-sb.de
Keller
Andreas
A
Kuentzer
Jan
J
Kneissl
Benny
B
Comtesse
Nicole
N
Elnakady
Yasser A
YA
Müller
Rolf
R
Meese
Eckart
E
Lenhof
Hans-Peter
HP
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D030541:Databases, Genetic; D005786:Gene Expression Regulation; D005800:Genes, Fungal; D016678:Genome; D023281:Genomics; D006801:Humans; D020407:Internet; D008957:Models, Genetic; D015233:Models, Statistical; D011381:Programming Languages; D040901:Proteomics; D012984:Software; D014584:User-Computer Interface