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  TransFind--predicting transcriptional regulators for gene sets

Kielbasa, S. M., Klein, H., Roider, H. G., Vingron, M., & Blüthgen, N. (2010). TransFind--predicting transcriptional regulators for gene sets. Nucleic Acids Research, 38 Suppl, W275-W280. doi:doi:10.1093/nar/gkq438.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7ABE-5 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7ABF-3
Genre: Journal Article
Alternative Title : Nucleic Acids Res

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Kielbasa.pdf (Any fulltext), 244KB
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 Creators:
Kielbasa, S. M.1, Author              
Klein, H., Author
Roider, H. G.1, Author              
Vingron, M.2, Author              
Blüthgen, N., Author
Affiliations:
1Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              
2Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

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Free keywords: Binding Sites; Gene Expression Regulation; Internet; Phylogeny; Promoter Regions, Genetic; Software; Transcription Factors/metabolism; Transcription, Genetic
 Abstract: The analysis of putative transcription factor binding sites in promoter regions of coregulated genes allows to infer the transcription factors that underlie observed changes in gene expression. While such analyses constitute a central component of the in-silico characterization of transcriptional regulatory networks, there is still a lack of simple-to-use web servers able to combine state-of-the-art prediction methods with phylogenetic analysis and appropriate multiple testing corrected statistics, which returns the results within a short time. Having these aims in mind we developed TransFind, which is freely available at http://transfind.sys-bio.net/.

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Language(s): eng - English
 Dates: 2010-07-01
 Publication Status: Published in print
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 Identifiers: eDoc: 538375
DOI: doi:10.1093/nar/gkq438
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Title: Nucleic Acids Research
  Alternative Title : Nucleic Acids Res
Source Genre: Journal
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Pages: - Volume / Issue: 38 Suppl Sequence Number: - Start / End Page: W275 - W280 Identifier: ISSN: 1362-4962 (Electronic)