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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2016
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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 |
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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 |
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