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An HTML5 open-source web tool that allows displaying, editing, exploring and analyzing biological networks as well as integrating metadata into them. Computations and analyses are remotely executed in high-end servers, and all the functionalities are available through RESTful web services. CellMaps can easily be integrated in any web page by using an available JavaScript API.

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CellMaps classification

CellMaps specifications

Web user interface, Application programming interface
Input data:
Networks can be imported from local files in SIF, XLSX or text formats and exported in SVG or SIF formats. Pre-defined networks can also be imported from Reactome, KEGG or IntAct using CellBase web services. Attribute files containing metadata information about nodes and edges (e.g. gene expression, GO terms, etc.) can also be imported as simple tab-delimited matrices.
Computer skills:
Source code URL:
Restrictions to use:
Programming languages:
C, Java, Javascript

CellMaps support



  • Joaquín Dopazo <>


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Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain; Bioinformatics of Rare Diseases (BIER), CIBER de Enfermedades Raras (CIBERER), Valencia, Spain; Computational Genomics Chair, Bull-CIPF, Valencia, Spain; Department of Medicine, University of Cambridge, School of Clinical Medicine, Addenbrooke's Hospital, Hills Road, Cambridge, UK; HPC Service, UIS, University of Cambridge, Cambridge, UK; Functional Genomics Node, (INB, PRB2, ISCIII) at CIPF, Valencia, Spain

Funding source(s)

This work is supported by grants BIO2014-57291-R from the Spanish Ministry of Economy and Competitiveness (MINECO), and Plataforma de Recursos Biomoleculares y Bioinformáticos PT 13/0001/0030 from the ISCIII, both co-funded with European Regional Development Funds (ERDF), PROMETEOII/2014/025 from the Conselleria de Educacio of the Valencian Community, and the Fundació la Marató TV3 [20133134].

Link to literature

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