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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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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/. |
format | Text |
id | pubmed-2896106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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