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Copycat Layout: Network layout alignment via Cytoscape Automation.
Settle, Brett; Otasek, David; Morris, John H; Demchak, Barry.
Afiliación
  • Settle B; Department of Medicine, University of California, San Diego, California, 92093-0688, USA.
  • Otasek D; Department of Medicine, University of California, San Diego, California, 92093-0688, USA.
  • Morris JH; University of California San Francisco, San Francisco, California, 94143, USA.
  • Demchak B; Department of Medicine, University of California, San Diego, California, 92093-0688, USA.
F1000Res ; 72018.
Article en En | MEDLINE | ID: mdl-30026936
ABSTRACT
The copycatLayout app is a network-based visual differential analysis tool that improves upon the existing layoutSaver app and is delivered pre-installed with Cytoscape, beginning with v3.6.0. LayoutSaver cloned a network layout by mapping node locations from one network to another based on node attribute values, but failed to clone view scale and location, and provided no means of identifying which nodes were successfully mapped between networks. Copycat addresses these issues and provides additional layout options. With the advent of Cytoscape Automation (packaged in Cytoscape v3.6.0), researchers can utilize the Copycat layout and its output in workflows written in their language of choice by using only a few simple REST calls. Copycat enables researchers to visually compare groups of homologous genes, generate network comparison images for publications, and quickly identify differences between similar networks at a glance without leaving their script. With a few extra REST calls, scripts can discover nodes present in one network but not in the other, which can feed into more complex analyses (e.g., modifying mismatched nodes based on new data, then re-running the layout to highlight additional network changes).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Modelos Teóricos Idioma: En Revista: F1000Res Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Modelos Teóricos Idioma: En Revista: F1000Res Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos