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Web-based network analysis and visualization using CellMaps

Summary: CellMaps is 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 we...

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Detalles Bibliográficos
Autores principales: Salavert, Francisco, García-Alonso, Luz, Sánchez, Rubén, Alonso, Roberto, Bleda, Marta, Medina, Ignacio, Dopazo, Joaquín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039919/
https://www.ncbi.nlm.nih.gov/pubmed/27296979
http://dx.doi.org/10.1093/bioinformatics/btw332
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author Salavert, Francisco
García-Alonso, Luz
Sánchez, Rubén
Alonso, Roberto
Bleda, Marta
Medina, Ignacio
Dopazo, Joaquín
author_facet Salavert, Francisco
García-Alonso, Luz
Sánchez, Rubén
Alonso, Roberto
Bleda, Marta
Medina, Ignacio
Dopazo, Joaquín
author_sort Salavert, Francisco
collection PubMed
description Summary: CellMaps is 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. Availability and Implementation: The application is available at: http://cellmaps.babelomics.org/ and the code can be found in: https://github.com/opencb/cell-maps. The client is implemented in JavaScript and the server in C and Java. Contact: jdopazo@cipf.es Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-50399192016-09-29 Web-based network analysis and visualization using CellMaps Salavert, Francisco García-Alonso, Luz Sánchez, Rubén Alonso, Roberto Bleda, Marta Medina, Ignacio Dopazo, Joaquín Bioinformatics Applications Notes Summary: CellMaps is 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. Availability and Implementation: The application is available at: http://cellmaps.babelomics.org/ and the code can be found in: https://github.com/opencb/cell-maps. The client is implemented in JavaScript and the server in C and Java. Contact: jdopazo@cipf.es Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-10-01 2016-06-13 /pmc/articles/PMC5039919/ /pubmed/27296979 http://dx.doi.org/10.1093/bioinformatics/btw332 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Salavert, Francisco
García-Alonso, Luz
Sánchez, Rubén
Alonso, Roberto
Bleda, Marta
Medina, Ignacio
Dopazo, Joaquín
Web-based network analysis and visualization using CellMaps
title Web-based network analysis and visualization using CellMaps
title_full Web-based network analysis and visualization using CellMaps
title_fullStr Web-based network analysis and visualization using CellMaps
title_full_unstemmed Web-based network analysis and visualization using CellMaps
title_short Web-based network analysis and visualization using CellMaps
title_sort web-based network analysis and visualization using cellmaps
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039919/
https://www.ncbi.nlm.nih.gov/pubmed/27296979
http://dx.doi.org/10.1093/bioinformatics/btw332
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