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

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

doi:10.1093/bioinformatics/btt162

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

Author:

Libin, Pieter

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

Keywords:

Science & Technology, Life Sciences & Biomedicine, Technology, Physical Sciences, Biochemical Research Methods, Biotechnology & Applied Microbiology, Computer Science, Interdisciplinary Applications, Mathematical & Computational Biology, Statistics & Probability, Biochemistry & Molecular Biology, Computer Science, Mathematics, DRUG-RESISTANCE, MICROBIAL SEQUENCES, THERAPY, AFRICA, SEARCH, HIV-1, Database Management Systems, Databases, Factual, Humans, Software, Virus Diseases, 01 Mathematical Sciences, 06 Biological Sciences, 08 Information and Computing Sciences, Bioinformatics, 31 Biological sciences, 46 Information and computing sciences, 49 Mathematical sciences

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. CONTACT: pieter.libin@rega.kuleuven.be.