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oPOSSUM: integrated tools for analysis of regulatory motif over-representation
The identification of over-represented transcription factor binding sites from sets of co-expressed genes provides insights into the mechanisms of regulation for diverse biological contexts. oPOSSUM, an internet-based system for such studies of regulation, has been improved and expanded in this new...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933229/ https://www.ncbi.nlm.nih.gov/pubmed/17576675 http://dx.doi.org/10.1093/nar/gkm427 |
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author | Ho Sui, Shannan J. Fulton, Debra L. Arenillas, David J. Kwon, Andrew T. Wasserman, Wyeth W. |
author_facet | Ho Sui, Shannan J. Fulton, Debra L. Arenillas, David J. Kwon, Andrew T. Wasserman, Wyeth W. |
author_sort | Ho Sui, Shannan J. |
collection | PubMed |
description | The identification of over-represented transcription factor binding sites from sets of co-expressed genes provides insights into the mechanisms of regulation for diverse biological contexts. oPOSSUM, an internet-based system for such studies of regulation, has been improved and expanded in this new release. New features include a worm-specific version for investigating binding sites conserved between Caenorhabditis elegans and C. briggsae, as well as a yeast-specific version for the analysis of co-expressed sets of Saccharomyces cerevisiae genes. The human and mouse applications feature improvements in ortholog mapping, sequence alignments and the delineation of multiple alternative promoters. oPOSSUM2, introduced for the analysis of over-represented combinations of motifs in human and mouse genes, has been integrated with the original oPOSSUM system. Analysis using user-defined background gene sets is now supported. The transcription factor binding site models have been updated to include new profiles from the JASPAR database. oPOSSUM is available at http://www.cisreg.ca/oPOSSUM/ |
format | Text |
id | pubmed-1933229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-19332292007-07-31 oPOSSUM: integrated tools for analysis of regulatory motif over-representation Ho Sui, Shannan J. Fulton, Debra L. Arenillas, David J. Kwon, Andrew T. Wasserman, Wyeth W. Nucleic Acids Res Articles The identification of over-represented transcription factor binding sites from sets of co-expressed genes provides insights into the mechanisms of regulation for diverse biological contexts. oPOSSUM, an internet-based system for such studies of regulation, has been improved and expanded in this new release. New features include a worm-specific version for investigating binding sites conserved between Caenorhabditis elegans and C. briggsae, as well as a yeast-specific version for the analysis of co-expressed sets of Saccharomyces cerevisiae genes. The human and mouse applications feature improvements in ortholog mapping, sequence alignments and the delineation of multiple alternative promoters. oPOSSUM2, introduced for the analysis of over-represented combinations of motifs in human and mouse genes, has been integrated with the original oPOSSUM system. Analysis using user-defined background gene sets is now supported. The transcription factor binding site models have been updated to include new profiles from the JASPAR database. oPOSSUM is available at http://www.cisreg.ca/oPOSSUM/ Oxford University Press 2007-07 2007-06-18 /pmc/articles/PMC1933229/ /pubmed/17576675 http://dx.doi.org/10.1093/nar/gkm427 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 Ho Sui, Shannan J. Fulton, Debra L. Arenillas, David J. Kwon, Andrew T. Wasserman, Wyeth W. oPOSSUM: integrated tools for analysis of regulatory motif over-representation |
title | oPOSSUM: integrated tools for analysis of regulatory motif over-representation |
title_full | oPOSSUM: integrated tools for analysis of regulatory motif over-representation |
title_fullStr | oPOSSUM: integrated tools for analysis of regulatory motif over-representation |
title_full_unstemmed | oPOSSUM: integrated tools for analysis of regulatory motif over-representation |
title_short | oPOSSUM: integrated tools for analysis of regulatory motif over-representation |
title_sort | opossum: integrated tools for analysis of regulatory motif over-representation |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933229/ https://www.ncbi.nlm.nih.gov/pubmed/17576675 http://dx.doi.org/10.1093/nar/gkm427 |
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