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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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| RegaDB Community-driven data management and analysis for infectious diseases .pdf | 320.74 kB | Adobe PDF |  View/Open |
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