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BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats
BACKGROUND: Public repositories of biological pathways and networks have greatly expanded in recent years. Such databases contain many pathways that facilitate the analysis of high-throughput experimental work and the formulation of new biological hypotheses to be tested, a fundamental principle of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3646686/ https://www.ncbi.nlm.nih.gov/pubmed/23453054 http://dx.doi.org/10.1186/1752-0509-7-18 |
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author | Bonnet, Eric Calzone, Laurence Rovera, Daniel Stoll, Gautier Barillot, Emmanuel Zinovyev, Andrei |
author_facet | Bonnet, Eric Calzone, Laurence Rovera, Daniel Stoll, Gautier Barillot, Emmanuel Zinovyev, Andrei |
author_sort | Bonnet, Eric |
collection | PubMed |
description | BACKGROUND: Public repositories of biological pathways and networks have greatly expanded in recent years. Such databases contain many pathways that facilitate the analysis of high-throughput experimental work and the formulation of new biological hypotheses to be tested, a fundamental principle of the systems biology approach. However, large-scale molecular maps are not always easy to mine and interpret. RESULTS: We have developed BiNoM (Biological Network Manager), a Cytoscape plugin, which provides functions for the import-export of some standard systems biology file formats (import from CellDesigner, BioPAX Level 3 and CSML; export to SBML, CellDesigner and BioPAX Level 3), and a set of algorithms to analyze and reduce the complexity of biological networks. BiNoM can be used to import and analyze files created with the CellDesigner software. BiNoM provides a set of functions allowing to import BioPAX files, but also to search and edit their content. As such, BiNoM is able to efficiently manage large BioPAX files such as whole pathway databases (e.g. Reactome). BiNoM also implements a collection of powerful graph-based functions and algorithms such as path analysis, decomposition by involvement of an entity or cyclic decomposition, subnetworks clustering and decomposition of a large network in modules. CONCLUSIONS: Here, we provide an in-depth overview of the BiNoM functions, and we also detail novel aspects such as the support of the BioPAX Level 3 format and the implementation of a new algorithm for the quantification of pathways for influence networks. At last, we illustrate some of the BiNoM functions on a detailed biological case study of a network representing the G1/S transition of the cell cycle, a crucial cellular process disturbed in most human tumors. |
format | Online Article Text |
id | pubmed-3646686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-36466862013-05-10 BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats Bonnet, Eric Calzone, Laurence Rovera, Daniel Stoll, Gautier Barillot, Emmanuel Zinovyev, Andrei BMC Syst Biol Software BACKGROUND: Public repositories of biological pathways and networks have greatly expanded in recent years. Such databases contain many pathways that facilitate the analysis of high-throughput experimental work and the formulation of new biological hypotheses to be tested, a fundamental principle of the systems biology approach. However, large-scale molecular maps are not always easy to mine and interpret. RESULTS: We have developed BiNoM (Biological Network Manager), a Cytoscape plugin, which provides functions for the import-export of some standard systems biology file formats (import from CellDesigner, BioPAX Level 3 and CSML; export to SBML, CellDesigner and BioPAX Level 3), and a set of algorithms to analyze and reduce the complexity of biological networks. BiNoM can be used to import and analyze files created with the CellDesigner software. BiNoM provides a set of functions allowing to import BioPAX files, but also to search and edit their content. As such, BiNoM is able to efficiently manage large BioPAX files such as whole pathway databases (e.g. Reactome). BiNoM also implements a collection of powerful graph-based functions and algorithms such as path analysis, decomposition by involvement of an entity or cyclic decomposition, subnetworks clustering and decomposition of a large network in modules. CONCLUSIONS: Here, we provide an in-depth overview of the BiNoM functions, and we also detail novel aspects such as the support of the BioPAX Level 3 format and the implementation of a new algorithm for the quantification of pathways for influence networks. At last, we illustrate some of the BiNoM functions on a detailed biological case study of a network representing the G1/S transition of the cell cycle, a crucial cellular process disturbed in most human tumors. BioMed Central 2013-03-01 /pmc/articles/PMC3646686/ /pubmed/23453054 http://dx.doi.org/10.1186/1752-0509-7-18 Text en Copyright © 2013 Bonnet 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 Bonnet, Eric Calzone, Laurence Rovera, Daniel Stoll, Gautier Barillot, Emmanuel Zinovyev, Andrei BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats |
title | BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats |
title_full | BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats |
title_fullStr | BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats |
title_full_unstemmed | BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats |
title_short | BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats |
title_sort | binom 2.0, a cytoscape plugin for accessing and analyzing pathways using standard systems biology formats |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3646686/ https://www.ncbi.nlm.nih.gov/pubmed/23453054 http://dx.doi.org/10.1186/1752-0509-7-18 |
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