The Cytoscape Automation app article collection
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2018 |
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Erschienen: |
2018 |
Enthalten in: |
Zur Gesamtaufnahme - volume:7 |
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Enthalten in: |
F1000Research - 7(2018) vom: 30., Seite 800 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Demchak, Barry [VerfasserIn] |
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Links: |
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Themen: |
App |
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Anmerkungen: |
Date Revised 20.11.2019 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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doi: |
10.12688/f1000research.15355.1 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM286266253 |
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245 | 1 | 4 | |a The Cytoscape Automation app article collection |
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520 | |a 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 | ||
650 | 4 | |a Editorial | |
650 | 4 | |a App | |
650 | 4 | |a Automation | |
650 | 4 | |a Cytoscape | |
650 | 4 | |a Network Analysis | |
650 | 4 | |a Network Biology | |
650 | 4 | |a Network Visualization | |
700 | 1 | |a Otasek, David |e verfasserin |4 aut | |
700 | 1 | |a Pico, Alexander R |e verfasserin |4 aut | |
700 | 1 | |a Bader, Gary D |e verfasserin |4 aut | |
700 | 1 | |a Ono, Keiichiro |e verfasserin |4 aut | |
700 | 1 | |a Settle, Brett |e verfasserin |4 aut | |
700 | 1 | |a Sage, Eric |e verfasserin |4 aut | |
700 | 1 | |a Morris, John H |e verfasserin |4 aut | |
700 | 1 | |a Longabaugh, William |e verfasserin |4 aut | |
700 | 1 | |a Lopes, Christian |e verfasserin |4 aut | |
700 | 1 | |a Kucera, Michael |e verfasserin |4 aut | |
700 | 1 | |a Treister, Adam |e verfasserin |4 aut | |
700 | 1 | |a Schwikowski, Benno |e verfasserin |4 aut | |
700 | 1 | |a Molenaar, Piet |e verfasserin |4 aut | |
700 | 1 | |a Ideker, Trey |e verfasserin |4 aut | |
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