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. 2013 Jun 1;29(11):1477-80.
doi: 10.1093/bioinformatics/btt162. Epub 2013 May 2.

RegaDB: community-driven data management and analysis for infectious diseases

Pieter Libin  1 , Gertjan Beheydt, Koen Deforche, Stijn Imbrechts, Fossie Ferreira, Kristel Van Laethem, Kristof Theys, Ana Patricia Carvalho, Joana Cavaco-Silva, Giuseppe Lapadula, Carlo Torti, Matthias Assel, Stefan Wesner, Joke Snoeck, Jean Ruelle, Annelies De Bel, Patrick Lacor, Paul De Munter, Eric Van Wijngaerden, Maurizio Zazzi, Rolf Kaiser, Ahidjo Ayouba, Martine Peeters, Tulio de Oliveira, Luiz C J Alcantara, Zehava Grossman, Peter Sloot, Dan Otelea, Simona Paraschiv, Charles Boucher, Ricardo J Camacho, Anne-Mieke Vandamme
Affiliations

RegaDB: community-driven data management and analysis for infectious diseases

Pieter Libin et al. 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 analyse 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://rega.kuleuven.be/cev/regadb. RegaDB is written in the Java programming language, using a web-service-oriented architecture.

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Figures

Fig. 1.
Fig. 1.
An overview of RegaDB’s database entities and functionalities
See this image and copyright information in PMC

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