Cargando…
DyNet: visualization and analysis of dynamic molecular interaction networks
Summary: The ability to experimentally determine molecular interactions on an almost proteome-wide scale under different conditions is enabling researchers to move from static to dynamic network analysis, uncovering new insights into how interaction networks are physically rewired in response to dif...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013899/ https://www.ncbi.nlm.nih.gov/pubmed/27153624 http://dx.doi.org/10.1093/bioinformatics/btw187 |
_version_ | 1782452235443109888 |
---|---|
author | Goenawan, Ivan H. Bryan, Kenneth Lynn, David J. |
author_facet | Goenawan, Ivan H. Bryan, Kenneth Lynn, David J. |
author_sort | Goenawan, Ivan H. |
collection | PubMed |
description | Summary: The ability to experimentally determine molecular interactions on an almost proteome-wide scale under different conditions is enabling researchers to move from static to dynamic network analysis, uncovering new insights into how interaction networks are physically rewired in response to different stimuli and in disease. Dynamic interaction data presents a special challenge in network biology. Here, we present DyNet, a Cytoscape application that provides a range of functionalities for the visualization, real-time synchronization and analysis of large multi-state dynamic molecular interaction networks enabling users to quickly identify and analyze the most ‘rewired’ nodes across many network states. Availability and Implementation: DyNet is available at the Cytoscape (3.2+) App Store (http://apps.cytoscape.org/apps/dynet). Contact: david.lynn@sahmri.com. Supplementary Information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5013899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50138992016-09-12 DyNet: visualization and analysis of dynamic molecular interaction networks Goenawan, Ivan H. Bryan, Kenneth Lynn, David J. Bioinformatics Applications Notes Summary: The ability to experimentally determine molecular interactions on an almost proteome-wide scale under different conditions is enabling researchers to move from static to dynamic network analysis, uncovering new insights into how interaction networks are physically rewired in response to different stimuli and in disease. Dynamic interaction data presents a special challenge in network biology. Here, we present DyNet, a Cytoscape application that provides a range of functionalities for the visualization, real-time synchronization and analysis of large multi-state dynamic molecular interaction networks enabling users to quickly identify and analyze the most ‘rewired’ nodes across many network states. Availability and Implementation: DyNet is available at the Cytoscape (3.2+) App Store (http://apps.cytoscape.org/apps/dynet). Contact: david.lynn@sahmri.com. Supplementary Information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-09-01 2016-05-03 /pmc/articles/PMC5013899/ /pubmed/27153624 http://dx.doi.org/10.1093/bioinformatics/btw187 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Goenawan, Ivan H. Bryan, Kenneth Lynn, David J. DyNet: visualization and analysis of dynamic molecular interaction networks |
title | DyNet: visualization and analysis of dynamic molecular interaction networks |
title_full | DyNet: visualization and analysis of dynamic molecular interaction networks |
title_fullStr | DyNet: visualization and analysis of dynamic molecular interaction networks |
title_full_unstemmed | DyNet: visualization and analysis of dynamic molecular interaction networks |
title_short | DyNet: visualization and analysis of dynamic molecular interaction networks |
title_sort | dynet: visualization and analysis of dynamic molecular interaction networks |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013899/ https://www.ncbi.nlm.nih.gov/pubmed/27153624 http://dx.doi.org/10.1093/bioinformatics/btw187 |
work_keys_str_mv | AT goenawanivanh dynetvisualizationandanalysisofdynamicmolecularinteractionnetworks AT bryankenneth dynetvisualizationandanalysisofdynamicmolecularinteractionnetworks AT lynndavidj dynetvisualizationandanalysisofdynamicmolecularinteractionnetworks |