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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
Source :
Bioinformatics. 3/15/2019, Vol. 35 Issue 6, p1076-1078. 3p.
Publication Year :
2019

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
35
Issue :
6
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
135381830
Full Text :
https://doi.org/10.1093/bioinformatics/bty742