GeneTrail -: advanced gene set enrichment analysis

被引：272

作者：

Backes, Christina ^{[1
]}

Keller, Andreas ^{[1
]}

Kuentzer, Jan ^{[1
]}

Kneissl, Benny ^{[1
]}

Comtesse, Nicole ^{[2
]}

Elnakady, Yasser A. ^{[3
]}

Mueller, Rolf ^{[3
]}

Meese, Eckart ^{[2
]}

Lenhof, Hans-Peter ^{[1
]}

机构：

[1] Univ Saarland, Ctr Bioinformat, D-66041 Saarbrucken, Germany

[2] Sch Med, Dept Human Genet, Homburg, Germany

[3] Univ Saarland, Dept Pharmaceut Biotechnol, D-66041 Saarbrucken, Germany

来源：

NUCLEIC ACIDS RESEARCH | 2007年 / 35卷

关键词：

FUNCTIONAL ANNOTATION; TOOL; ONTOLOGY; DATABASE; EXPRESSION;

D O I：

10.1093/nar/gkm323

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：W186 / W192

页数：7

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