MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians

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....

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Bibliographic Details
Published in:Bioinformatics 2019-03, Vol.35 (6), p.1076-1078
Main Authors: van der Velde, K Joeri, Imhann, Floris, Charbon, Bart, Pang, Chao, van Enckevort, David, Slofstra, Mariska, Barbieri, Ruggero, Alberts, Rudi, Hendriksen, Dennis, Kelpin, Fleur, de Haan, Mark, de Boer, Tommy, Haakma, Sido, Stroomberg, Connor, Scholtens, Salome, van de Geijn, Gert-Jan, Festen, Eleonora A M, Weersma, Rinse K, Swertz, Morris A
Format: Article
Language:English
Subjects:
Algorithms
Applications Notes
Computational Biology
Genome
Genomics
Software
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Summary: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.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/bty742