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Web-based network analysis and visualization using CellMaps.

Francisco Salavert1, Luz García-Alonso2, Rubén Sánchez2

  • 1Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia 46012, Spain Bioinformatics of Rare Diseases (BIER), CIBER de Enfermedades Raras (CIBERER), Valencia, Spain.

Bioinformatics (Oxford, England)
|June 15, 2016
PubMed
Summary
This summary is machine-generated.

CellMaps is a new open-source web tool for visualizing, editing, and analyzing biological networks. It offers remote high-performance computing and easy integration into web pages via a JavaScript API.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Biological network analysis is crucial for understanding cellular processes.
  • Existing tools often lack comprehensive visualization and integration capabilities.
  • There is a need for accessible, web-based platforms for network exploration.

Purpose of the Study:

  • To introduce CellMaps, an open-source HTML5 web tool.
  • To provide functionalities for displaying, editing, exploring, and analyzing biological networks.
  • To enable metadata integration and remote high-performance computation.

Main Methods:

  • Development of an HTML5-based web application.
  • Implementation of a client-server architecture with a JavaScript client and C/Java server.
  • Utilization of RESTful web services for remote computations and analyses.
  • Provision of a JavaScript API for easy integration into web pages.

Main Results:

  • CellMaps enables comprehensive management of biological networks.
  • Remote execution of analyses on high-end servers is supported.
  • Seamless integration into existing web applications is facilitated through the JavaScript API.
  • The tool is open-source and readily available.

Conclusions:

  • CellMaps offers a powerful and flexible platform for biological network analysis.
  • Its web-based nature and API enhance accessibility and integration.
  • The tool supports advanced functionalities for researchers in systems biology and bioinformatics.