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Marta Bleda

dblp:124/1010 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis › network visualization
biological network visualization		 0.212016
Web-based network analysis and visualization using CellMaps · Bioinform. 2016
Bioinformatics and computational biology › biological network
network biology		 0.212016
Web-based network analysis and visualization using CellMaps · Bioinform. 2016
Bioinformatics and computational biology › network bioinformatics
biological network analysis		 0.112016
Web-based network analysis and visualization using CellMaps · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

RESTful web services · 0.2JavaScript API · 0.2
YearPublicationVenuePosition
2016 Web-based network analysis and visualization using CellMaps
abstract
UNLABELLED: : 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: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Francisco Salavert, Luz Garcia-Alonso, Rubén Sánchez 0002, Roberto Alonso, Marta Bleda, Ignacio Medina, Joaquín Dopazo
 Bioinform.5