The Cytoscape Automation app article collection [version 1; peer review: not peer reviewed]
Cytoscape is the premiere platform for interactive analysis, integration and visualization of network data. While Cytoscape itself delivers much basic functionality, it relies on community-written apps to deliver specialized functions and analyses. To date, Cytoscape's CyREST feature has allowe...
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Published in | F1000 research Vol. 7; p. 800 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
Faculty of 1000 Ltd
2018
Faculty of 1000 F1000 Research Limited |
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Abstract | Cytoscape is the premiere platform for interactive analysis, integration and visualization of network data. While Cytoscape itself delivers much basic functionality, it relies on community-written apps to deliver specialized functions and analyses. To date, Cytoscape's CyREST feature has allowed researchers to write workflows that call basic Cytoscape functions, but provides no access to its high value app-based functions. With Cytoscape Automation, workflows can now call apps that have been upgraded to expose their functionality. This article collection is a resource to assist readers in quickly and economically leveraging such apps in reproducible workflows that scale independently to large data sets and production runs. |
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AbstractList | Cytoscape is the premiere platform for interactive analysis, integration and visualization of network data. While Cytoscape itself delivers much basic functionality, it relies on community-written apps to deliver specialized functions and analyses. To date, Cytoscape’s CyREST feature has allowed researchers to write workflows that call basic Cytoscape functions, but provides no access to its high value app-based functions. With Cytoscape Automation, workflows can now call apps that have been upgraded to expose their functionality. This article collection is a resource to assist readers in quickly and economically leveraging such apps in reproducible workflows that scale independently to large data sets and production runs. |
Author | Ono, Keiichiro Sage, Eric Bader, Gary D Treister, Adam Demchak, Barry Settle, Brett Otasek, David Longabaugh, William Schwikowski, Benno Kucera, Michael Morris, John H Ideker, Trey Pico, Alexander R Lopes, Christian Molenaar, Piet |
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Cites_doi | 10.12688/f1000research.4642.1 10.1093/bioinformatics/btp101 10.12688/f1000research.6767.1 |
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Copyright | Copyright: © 2018 Demchak B et al. Copyright: © 2018 Demchak B et al. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Attribution Copyright: © 2018 Demchak B et al. 2018 |
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Keywords | App Network Biology Cytoscape Automation Network Visualization Network Analysis |
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References | K Ono (ref-3) 2015; 4 G Bindea (ref-2) 2009; 25 A Pico (ref-1) 2014; 3 |
References_xml | – volume: 3 start-page: 138 year: 2014 ident: ref-1 article-title: The Cytoscape app article collection [version 1; referees: not peer reviewed]. publication-title: F1000Res. doi: 10.12688/f1000research.4642.1 contributor: fullname: A Pico – volume: 25 start-page: 1091-1093 year: 2009 ident: ref-2 article-title: ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. publication-title: Bioinformatics. doi: 10.1093/bioinformatics/btp101 contributor: fullname: G Bindea – volume: 4 start-page: 478 year: 2015 ident: ref-3 article-title: CyREST: Turbocharging Cytoscape Access for External Tools via a RESTful API [version 1; referees: 2 approved]. publication-title: F1000Res. doi: 10.12688/f1000research.6767.1 contributor: fullname: K Ono |
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Title | The Cytoscape Automation app article collection [version 1; peer review: not peer reviewed] |
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