AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations.
| Autor: | Kucera M; The Donnelly Centre, University of Toronto, Toronto, Canada., Isserlin R; The Donnelly Centre, University of Toronto, Toronto, Canada., Arkhangorodsky A; The Donnelly Centre, University of Toronto, Toronto, Canada., Bader GD; The Donnelly Centre, University of Toronto, Toronto, Canada. |
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| Jazyk: | angličtina |
| Zdroj: | F1000Research [F1000Res] 2016 Jul 15; Vol. 5, pp. 1717. Date of Electronic Publication: 2016 Jul 15 (Print Publication: 2016). |
| DOI: | 10.12688/f1000research.9090.1 |
| Abstrakt: | 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. Competing Interests: There are no competing interests. |
| Databáze: | MEDLINE |
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