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

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 forma...

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Bibliographic Details
Main 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
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2014
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Online Access:https://hdl.handle.net/10356/102052
http://hdl.handle.net/10220/18847
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.