Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102052
Title: RegaDB : community-driven data management and analysis for infectious diseases
Authors: Libin, Pieter
Beheydt, Gertjan
Deforche, Koen
Imbrechts, Stijn
Ferreira, Fossie
Laethem, Kristel Van
Theys, Kristof
Carvalho, Ana Patricia
Cavaco-Silva, Joana
Lapadula, Giuseppe
Torti, Carlo
Assel, Matthias
Wesner, Stefan
Snoeck, Joke
Ruelle, Jean
Bel, Annelies De
Lacor, Patrick
Munter, Paul De
Wijngaerden, Eric Van
Zazzi, Maurizio
Kaiser, Rolf
Ayouba, Ahidjo
Peeters, Martine
Oliveira, Tulio de
Alcantara, Luiz Carlos Junior
Grossman, Zehava
Sloot, Peter
Otelea, Dan
Paraschiv, Simona
Boucher, Charles
Camacho, Ricardo
Vandamme, Anne-Mieke
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2013
Source: Libin, P., Beheydt, G., Deforche, K., Imbrechts, S., Ferreira, F., Laethem, K. V., et al. RegaDB : community-driven data management and analysis for infectious diseases. Bioinformatics, 1-4.
Series/Report no.: Bioinformatics
Abstract: Summary: RegaDB is a free and open source data management and analysis environment for infectious diseases. RegaDB allows clinicians to store, manage and analyze patient data, including viral genetic sequences. Moreover, RegaDB provides researchers with a mechanism to collect data in a uniform format and offers them a canvas to make newly developed bioinformatics tools available to clinicians and virologists through a user friendly interface. Availability and implementation: Source code, binaries and documentation are available on http://regaweb.med.kuleuven.be/software/regadb/ RegaDB is written in the Java programming language, using a web-service oriented architecture. Contact: pieter.libin@rega.kuleuven.be Supplementary information: Supplementary material demonstrating the functionalities of the system is available at Bioinformatics online.
URI: https://hdl.handle.net/10356/102052
http://hdl.handle.net/10220/18847
DOI: 10.1093/bioinformatics/btst162
Rights: © The Author(s) 2013. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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