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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 categor...

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Detalles Bibliográficos
Autores principales: Backes, Christina, Keller, Andreas, Kuentzer, Jan, Kneissl, Benny, Comtesse, Nicole, Elnakady, Yasser A., Müller, Rolf, Meese, Eckart, Lenhof, Hans-Peter
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933132/
https://www.ncbi.nlm.nih.gov/pubmed/17526521
http://dx.doi.org/10.1093/nar/gkm323
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author Backes, Christina
Keller, Andreas
Kuentzer, Jan
Kneissl, Benny
Comtesse, Nicole
Elnakady, Yasser A.
Müller, Rolf
Meese, Eckart
Lenhof, Hans-Peter
author_facet Backes, Christina
Keller, Andreas
Kuentzer, Jan
Kneissl, Benny
Comtesse, Nicole
Elnakady, Yasser A.
Müller, Rolf
Meese, Eckart
Lenhof, Hans-Peter
author_sort Backes, Christina
collection PubMed
description 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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spelling pubmed-19331322007-07-31 GeneTrail—advanced gene set enrichment analysis Backes, Christina Keller, Andreas Kuentzer, Jan Kneissl, Benny Comtesse, Nicole Elnakady, Yasser A. Müller, Rolf Meese, Eckart Lenhof, Hans-Peter Nucleic Acids Res Articles 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 Oxford University Press 2007-07 2007-05-25 /pmc/articles/PMC1933132/ /pubmed/17526521 http://dx.doi.org/10.1093/nar/gkm323 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Backes, Christina
Keller, Andreas
Kuentzer, Jan
Kneissl, Benny
Comtesse, Nicole
Elnakady, Yasser A.
Müller, Rolf
Meese, Eckart
Lenhof, Hans-Peter
GeneTrail—advanced gene set enrichment analysis
title GeneTrail—advanced gene set enrichment analysis
title_full GeneTrail—advanced gene set enrichment analysis
title_fullStr GeneTrail—advanced gene set enrichment analysis
title_full_unstemmed GeneTrail—advanced gene set enrichment analysis
title_short GeneTrail—advanced gene set enrichment analysis
title_sort genetrail—advanced gene set enrichment analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933132/
https://www.ncbi.nlm.nih.gov/pubmed/17526521
http://dx.doi.org/10.1093/nar/gkm323
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