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TransFind—predicting transcriptional regulators for gene sets

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 re...

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Detalles Bibliográficos
Autores principales: Kiełbasa, Szymon M., Klein, Holger, Roider, Helge G., Vingron, Martin, Blüthgen, Nils
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896106/
https://www.ncbi.nlm.nih.gov/pubmed/20511592
http://dx.doi.org/10.1093/nar/gkq438
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author Kiełbasa, Szymon M.
Klein, Holger
Roider, Helge G.
Vingron, Martin
Blüthgen, Nils
author_facet Kiełbasa, Szymon M.
Klein, Holger
Roider, Helge G.
Vingron, Martin
Blüthgen, Nils
author_sort Kiełbasa, Szymon M.
collection PubMed
description 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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spelling pubmed-28961062010-07-02 TransFind—predicting transcriptional regulators for gene sets Kiełbasa, Szymon M. Klein, Holger Roider, Helge G. Vingron, Martin Blüthgen, Nils Nucleic Acids Res Articles 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/. Oxford University Press 2010-07-01 2010-05-28 /pmc/articles/PMC2896106/ /pubmed/20511592 http://dx.doi.org/10.1093/nar/gkq438 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Kiełbasa, Szymon M.
Klein, Holger
Roider, Helge G.
Vingron, Martin
Blüthgen, Nils
TransFind—predicting transcriptional regulators for gene sets
title TransFind—predicting transcriptional regulators for gene sets
title_full TransFind—predicting transcriptional regulators for gene sets
title_fullStr TransFind—predicting transcriptional regulators for gene sets
title_full_unstemmed TransFind—predicting transcriptional regulators for gene sets
title_short TransFind—predicting transcriptional regulators for gene sets
title_sort transfind—predicting transcriptional regulators for gene sets
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896106/
https://www.ncbi.nlm.nih.gov/pubmed/20511592
http://dx.doi.org/10.1093/nar/gkq438
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