Literature DB >> 30026936

Copycat Layout: Network layout alignment via Cytoscape Automation.

Brett Settle1, David Otasek1, John H Morris2, Barry Demchak1.   

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).

Entities:  

Keywords:  Alignment; Cytoscape; Interoperability; Layout; Microservice; REST; Reproducibility; Workflow

Mesh:

Year:  2018        PMID: 30026936      PMCID: PMC6039917          DOI: 10.12688/f1000research.15144.2

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


  2 in total

1.  CyREST: Turbocharging Cytoscape Access for External Tools via a RESTful API.

Authors:  Keiichiro Ono; Tanja Muetze; Georgi Kolishovski; Paul Shannon; Barry Demchak
Journal:  F1000Res       Date:  2015-08-05

2.  Prophetic Granger Causality to infer gene regulatory networks.

Authors:  Daniel E Carlin; Evan O Paull; Kiley Graim; Christopher K Wong; Adrian Bivol; Peter Ryabinin; Kyle Ellrott; Artem Sokolov; Joshua M Stuart
Journal:  PLoS One       Date:  2017-12-06       Impact factor: 3.240

  2 in total

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