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- Title
MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians.
- Authors
Velde, K Joeri van der; Imhann, Floris; Charbon, Bart; Pang, Chao; Enckevort, David van; Slofstra, Mariska; Barbieri, Ruggero; Alberts, Rudi; Hendriksen, Dennis; Kelpin, Fleur; Haan, Mark de; Boer, Tommy de; Haakma, Sido; Stroomberg, Connor; Scholtens, Salome; van de Geijn, Gert-Jan; Festen, Eleonora A M; Weersma, Rinse K; Swertz, Morris A
- Abstract
Motivation The volume and complexity of biological data increases rapidly. Many clinical professionals and biomedical researchers without a bioinformatics background are generating big '-omics' data, but do not always have the tools to manage, process or publicly share these data. Results Here we present MOLGENIS Research, an open-source web-application to collect, manage, analyze, visualize and share large and complex biomedical datasets, without the need for advanced bioinformatics skills. Availability and implementation MOLGENIS Research is freely available (open source software). It can be installed from source code (see http://github.com/molgenis), downloaded as a precompiled WAR file (for your own server), setup inside a Docker container (see http://molgenis.github.io), or requested as a Software-as-a-Service subscription. For a public demo instance and complete installation instructions see http://molgenis.org/research.
- Subjects
BIOINFORMATICS; NUCLEOTIDE sequencing; CLOUD computing; GENOMICS; MEDICAL care
- Publication
Bioinformatics, 2019, Vol 35, Issue 6, p1076
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/bty742