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...

Descripción completa

Detalles Bibliográficos
Autores principales: Goenawan, Ivan H., Bryan, Kenneth, Lynn, David J.
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