| Literature DB >> 29983926 |
Barry Demchak1, David Otasek1, Alexander R Pico2, Gary D Bader3, Keiichiro Ono1, Brett Settle1, Eric Sage1, John H Morris4, William Longabaugh5, Christian Lopes3, Michael Kucera3, Adam Treister2, Benno Schwikowski6, Piet Molenaar7, Trey Ideker1.
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.Entities:
Keywords: App; Automation; Cytoscape; Network Analysis; Network Biology; Network Visualization
Year: 2018 PMID: 29983926 PMCID: PMC6013757 DOI: 10.12688/f1000research.15355.1
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402