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Characterizing regulatory path motifs in integrated networks using perturbational data
We introduce Pathicular http://bioinformatics.psb.ugent.be/software/details/Pathicular, a Cytoscape plugin for studying the cellular response to perturbations of transcription factors by integrating perturbational expression data with transcriptional, protein-protein and phosphorylation networks. Pa...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2864572/ https://www.ncbi.nlm.nih.gov/pubmed/20230615 http://dx.doi.org/10.1186/gb-2010-11-3-r32 |
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author | Joshi, Anagha Van Parys, Thomas Peer, Yves Van de Michoel, Tom |
author_facet | Joshi, Anagha Van Parys, Thomas Peer, Yves Van de Michoel, Tom |
author_sort | Joshi, Anagha |
collection | PubMed |
description | We introduce Pathicular http://bioinformatics.psb.ugent.be/software/details/Pathicular, a Cytoscape plugin for studying the cellular response to perturbations of transcription factors by integrating perturbational expression data with transcriptional, protein-protein and phosphorylation networks. Pathicular searches for 'regulatory path motifs', short paths in the integrated physical networks which occur significantly more often than expected between transcription factors and their targets in the perturbational data. A case study in Saccharomyces cerevisiae identifies eight regulatory path motifs and demonstrates their biological significance. |
format | Text |
id | pubmed-2864572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28645722010-05-05 Characterizing regulatory path motifs in integrated networks using perturbational data Joshi, Anagha Van Parys, Thomas Peer, Yves Van de Michoel, Tom Genome Biol Software We introduce Pathicular http://bioinformatics.psb.ugent.be/software/details/Pathicular, a Cytoscape plugin for studying the cellular response to perturbations of transcription factors by integrating perturbational expression data with transcriptional, protein-protein and phosphorylation networks. Pathicular searches for 'regulatory path motifs', short paths in the integrated physical networks which occur significantly more often than expected between transcription factors and their targets in the perturbational data. A case study in Saccharomyces cerevisiae identifies eight regulatory path motifs and demonstrates their biological significance. BioMed Central 2010 2010-03-11 /pmc/articles/PMC2864572/ /pubmed/20230615 http://dx.doi.org/10.1186/gb-2010-11-3-r32 Text en Copyright ©2010 Joshi et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Joshi, Anagha Van Parys, Thomas Peer, Yves Van de Michoel, Tom Characterizing regulatory path motifs in integrated networks using perturbational data |
title | Characterizing regulatory path motifs in integrated networks using perturbational data |
title_full | Characterizing regulatory path motifs in integrated networks using perturbational data |
title_fullStr | Characterizing regulatory path motifs in integrated networks using perturbational data |
title_full_unstemmed | Characterizing regulatory path motifs in integrated networks using perturbational data |
title_short | Characterizing regulatory path motifs in integrated networks using perturbational data |
title_sort | characterizing regulatory path motifs in integrated networks using perturbational data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2864572/ https://www.ncbi.nlm.nih.gov/pubmed/20230615 http://dx.doi.org/10.1186/gb-2010-11-3-r32 |
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