Cargando…

AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations

Networks often contain regions of tightly connected nodes, or clusters, that highlight their shared relationships. An effective way to create a visual summary of a network is to identify clusters and annotate them with an enclosing shape and a summarizing label. Cytoscape provides the ability to ann...

Descripción completa

Detalles Bibliográficos
Autores principales: Kucera, Mike, Isserlin, Ruth, Arkhangorodsky, Arkady, Bader, Gary D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5082607/
https://www.ncbi.nlm.nih.gov/pubmed/27830058
http://dx.doi.org/10.12688/f1000research.9090.1
_version_ 1782463093795717120
author Kucera, Mike
Isserlin, Ruth
Arkhangorodsky, Arkady
Bader, Gary D.
author_facet Kucera, Mike
Isserlin, Ruth
Arkhangorodsky, Arkady
Bader, Gary D.
author_sort Kucera, Mike
collection PubMed
description Networks often contain regions of tightly connected nodes, or clusters, that highlight their shared relationships. An effective way to create a visual summary of a network is to identify clusters and annotate them with an enclosing shape and a summarizing label. Cytoscape provides the ability to annotate a network with shapes and labels, however these annotations must be created manually one at a time, which can be a laborious process. AutoAnnotate is a Cytoscape 3 App that automates the process of identifying clusters and visually annotating them. It greatly reduces the time and effort required to fully annotate clusters in a network, and provides freedom to experiment with different strategies for identifying and labelling clusters. Many customization options are available that enable the user to refine the generated annotations as required. Annotated clusters may be collapsed into single nodes using the Cytoscape groups feature, which helps simplify a network by making its overall structure more visible. AutoAnnotate is applicable to any type of network, including enrichment maps, protein-protein interactions, pathways, or social networks.
format Online
Article
Text
id pubmed-5082607
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher F1000Research
record_format MEDLINE/PubMed
spelling pubmed-50826072016-11-08 AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations Kucera, Mike Isserlin, Ruth Arkhangorodsky, Arkady Bader, Gary D. F1000Res Software Tool Article Networks often contain regions of tightly connected nodes, or clusters, that highlight their shared relationships. An effective way to create a visual summary of a network is to identify clusters and annotate them with an enclosing shape and a summarizing label. Cytoscape provides the ability to annotate a network with shapes and labels, however these annotations must be created manually one at a time, which can be a laborious process. AutoAnnotate is a Cytoscape 3 App that automates the process of identifying clusters and visually annotating them. It greatly reduces the time and effort required to fully annotate clusters in a network, and provides freedom to experiment with different strategies for identifying and labelling clusters. Many customization options are available that enable the user to refine the generated annotations as required. Annotated clusters may be collapsed into single nodes using the Cytoscape groups feature, which helps simplify a network by making its overall structure more visible. AutoAnnotate is applicable to any type of network, including enrichment maps, protein-protein interactions, pathways, or social networks. F1000Research 2016-07-15 /pmc/articles/PMC5082607/ /pubmed/27830058 http://dx.doi.org/10.12688/f1000research.9090.1 Text en Copyright: © 2016 Kucera M et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Kucera, Mike
Isserlin, Ruth
Arkhangorodsky, Arkady
Bader, Gary D.
AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations
title AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations
title_full AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations
title_fullStr AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations
title_full_unstemmed AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations
title_short AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations
title_sort autoannotate: a cytoscape app for summarizing networks with semantic annotations
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5082607/
https://www.ncbi.nlm.nih.gov/pubmed/27830058
http://dx.doi.org/10.12688/f1000research.9090.1
work_keys_str_mv AT kuceramike autoannotateacytoscapeappforsummarizingnetworkswithsemanticannotations
AT isserlinruth autoannotateacytoscapeappforsummarizingnetworkswithsemanticannotations
AT arkhangorodskyarkady autoannotateacytoscapeappforsummarizingnetworkswithsemanticannotations
AT badergaryd autoannotateacytoscapeappforsummarizingnetworkswithsemanticannotations