MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians

被引:62
作者
van der Velde, K. Joeri [1 ,2 ]
Imhann, Floris [2 ,3 ]
Charbon, Bart [1 ]
Pang, Chao [1 ]
van Enckevort, David [1 ]
Slofstra, Mariska [1 ]
Barbieri, Ruggero [2 ,3 ]
Alberts, Rudi [2 ,3 ]
Hendriksen, Dennis [1 ]
Kelpin, Fleur [1 ]
de Haan, Mark [1 ]
de Boer, Tommy [1 ]
Haakma, Sido [1 ]
Stroomberg, Connor [1 ]
Scholtens, Salome [1 ]
van de Geijn, Gert-Jan [1 ]
Festen, Eleonora A. M. [2 ,3 ]
Weersma, Rinse K. [3 ]
Swertz, Morris A. [1 ,2 ]
机构
[1] Univ Groningen, Genom Coordinat Ctr, Groningen, Netherlands
[2] Univ Groningen, Dept Genet, Groningen, Netherlands
[3] Univ Groningen, Dept Gastroenterol & Hepatol, Groningen, Netherlands
关键词
BIG DATA; INTEGRATION;
D O I
10.1093/bioinformatics/bty742
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:1076 / 1078
页数:3
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