GeneTrail--advanced gene set enrichment analysis.

@article{citeulike:1573344, 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.}, address = {Center for Bioinformatics, Saarland University, Building E1.1, 66041 Saarbr\"{u}cken, Germany. cbackes@bioinf.uni-sb.de}, author = {Backes, C. and Keller, A. and Kuentzer, J. and Kneissl, B. and Comtesse, N. and Elnakady, Y. A. and M\"{u}ller, R. and Meese, E. and Lenhof, H. P. }, citeulike-article-id = {1573344}, issn = {1362-4962}, journal = {Nucleic Acids Res}, keywords = {gene\_sets}, month = {July}, number = {Web Server issue}, posted-at = {2008-05-15 09:55:14}, priority = {2}, title = {GeneTrail--advanced gene set enrichment analysis.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/17526521}, volume = {35}, year = {2007} }

TY - JOUR ID - citeulike:1573344 L3 - citeulike-article-id:1573344 TI - GeneTrail--advanced gene set enrichment analysis. JF - Nucleic Acids Res VL - 35 IS - Web Server issue AD - Center for Bioinformatics, Saarland University, Building E1.1, 66041 Saarbrücken, Germany. cbackes@bioinf.uni-sb.de SN - 1362-4962 N2 - 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. KW - gene_sets AU - Backes, C AU - Keller, A AU - Kuentzer, J AU - Kneissl, B AU - Comtesse, N AU - Elnakady, YA AU - Müller, R AU - Meese, E AU - Lenhof, HP PY - 2007/07/01/ UR - http://view.ncbi.nlm.nih.gov/pubmed/17526521 ER -