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. 2019 Mar 15;35(6):1076-1078.
doi: 10.1093/bioinformatics/bty742.

MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians

K Joeri van der Velde  1   2 , Floris Imhann  2   3 , Bart Charbon  1 , Chao Pang  1 , David van Enckevort  1 , Mariska Slofstra  1 , Ruggero Barbieri  2   3 , Rudi Alberts  2   3 , Dennis Hendriksen  1 , Fleur Kelpin  1 , Mark de Haan  1 , Tommy de Boer  1 , Sido Haakma  1 , Connor Stroomberg  1 , Salome Scholtens  1 , Gert-Jan van de Geijn  1 , Eleonora A M Festen  2   3 , Rinse K Weersma  3 , Morris A Swertz  1   2
Affiliations

MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians

K Joeri van der Velde et al. Bioinformatics. .

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.

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Figures

Fig. 1.
Fig. 1.
Screenshot of the MOLGENIS Research graphical user interface. Shown here is the Data Explorer app, a central place in MOLGENIS Research to enter, enrich, filter, analyze and export datasets
See this image and copyright information in PMC

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Publication types