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CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling
Summary: CytoModeler is an open-source Java application based on the Cytoscape platform. It integrates large-scale network analysis and quantitative modeling by combining omics analysis on the Cytoscape platform, access to deterministic and stochastic simulators, and static and dynamic network conte...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3102219/ https://www.ncbi.nlm.nih.gov/pubmed/21511714 http://dx.doi.org/10.1093/bioinformatics/btr150 |
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author | Xia, Tian Van Hemert, John Dickerson, Julie A. |
author_facet | Xia, Tian Van Hemert, John Dickerson, Julie A. |
author_sort | Xia, Tian |
collection | PubMed |
description | Summary: CytoModeler is an open-source Java application based on the Cytoscape platform. It integrates large-scale network analysis and quantitative modeling by combining omics analysis on the Cytoscape platform, access to deterministic and stochastic simulators, and static and dynamic network context visualizations of simulation results. Availability: Implemented in Java, CytoModeler runs with Cytoscape 2.6 and 2.7. Binaries, documentation and video walkthroughs are freely available at http://vrac.iastate.edu/~jlv/cytomodeler/. Contact: julied@iastate.edu; netscape@iastate.edu Supplementary Information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-3102219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31022192011-05-31 CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling Xia, Tian Van Hemert, John Dickerson, Julie A. Bioinformatics Applications Note Summary: CytoModeler is an open-source Java application based on the Cytoscape platform. It integrates large-scale network analysis and quantitative modeling by combining omics analysis on the Cytoscape platform, access to deterministic and stochastic simulators, and static and dynamic network context visualizations of simulation results. Availability: Implemented in Java, CytoModeler runs with Cytoscape 2.6 and 2.7. Binaries, documentation and video walkthroughs are freely available at http://vrac.iastate.edu/~jlv/cytomodeler/. Contact: julied@iastate.edu; netscape@iastate.edu Supplementary Information: Supplementary data are available at Bioinformatics online. Oxford University Press 2011-06-01 2011-04-20 /pmc/articles/PMC3102219/ /pubmed/21511714 http://dx.doi.org/10.1093/bioinformatics/btr150 Text en © The Author(s) 2011. 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 | Applications Note Xia, Tian Van Hemert, John Dickerson, Julie A. CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling |
title | CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling |
title_full | CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling |
title_fullStr | CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling |
title_full_unstemmed | CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling |
title_short | CytoModeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling |
title_sort | cytomodeler: a tool for bridging large-scale network analysis and dynamic quantitative modeling |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3102219/ https://www.ncbi.nlm.nih.gov/pubmed/21511714 http://dx.doi.org/10.1093/bioinformatics/btr150 |
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