MOLGENIS Research: Advanced bioinformatics data software for non-bioinformaticians

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

doi:10.1093/bioinformatics/bty742

MOLGENIS Research: Advanced bioinformatics data software for non-bioinformaticians

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

Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)

Research output: Contribution to journal › Article › Academic › peer-review

32 Citations (Scopus)

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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 data sets, 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.

Original language	English
Pages (from-to)	1076-1078
Number of pages	3
Journal	Bioinformatics (Oxford, England)
Volume	35
Issue number	6
DOIs	https://doi.org/10.1093/bioinformatics/bty742
Publication status	Published - 15-Mar-2019

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van der Velde, K. J., Imhann, F., Charbon, B., Pang, C., van Enckevort, D., Slofstra, M., Barbieri, R., Alberts, R., Hendriksen, D., Kelpin, F., de Haan, M., de Boer, T., Haakma, S., Stroomberg, C., Scholtens, S., van de Geijn, G-J., Festen, E. A. M., Weersma, R. K., & Swertz, M. A. (2019). MOLGENIS Research: Advanced bioinformatics data software for non-bioinformaticians. Bioinformatics (Oxford, England), 35(6), 1076-1078. https://doi.org/10.1093/bioinformatics/bty742

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title = "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.Results: Here we present MOLGENIS Research, an open-source web-application to collect, manage, analyze, visualize and share large and complex biomedical data sets, 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.",

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

year = "2019",

month = mar,

day = "15",

doi = "10.1093/bioinformatics/bty742",

language = "English",

volume = "35",

pages = "1076--1078",

journal = "Bioinformatics (Oxford, England)",

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publisher = "Oxford University Press",

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van der Velde, KJ , Imhann, F , Charbon, B, Pang, C, van Enckevort, D , Slofstra, M, Barbieri, R, Alberts, R, Hendriksen, D, Kelpin, F, de Haan, M, de Boer, T, Haakma, S, Stroomberg, C , Scholtens, S , van de Geijn, G-J , Festen, EAM , Weersma, RK & Swertz, MA 2019, 'MOLGENIS Research: Advanced bioinformatics data software for non-bioinformaticians', Bioinformatics (Oxford, England), vol. 35, no. 6, pp. 1076-1078. https://doi.org/10.1093/bioinformatics/bty742

TY - JOUR

T1 - MOLGENIS Research

T2 - Advanced bioinformatics data software for non-bioinformaticians

AU - van der Velde, K Joeri

AU - Imhann, Floris

AU - Charbon, Bart

AU - Pang, Chao

AU - van Enckevort, David

AU - Slofstra, Mariska

AU - Barbieri, Ruggero

AU - Alberts, Rudi

AU - Hendriksen, Dennis

AU - Kelpin, Fleur

AU - de Haan, Mark

AU - de Boer, Tommy

AU - Haakma, Sido

AU - Stroomberg, Connor

AU - Scholtens, Salome

AU - van de Geijn, Gert-Jan

AU - Festen, Eleonora A M

AU - Weersma, Rinse K

AU - Swertz, Morris A

PY - 2019/3/15

Y1 - 2019/3/15

N2 - 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 data sets, 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.

AB - 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 data sets, 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.

U2 - 10.1093/bioinformatics/bty742

DO - 10.1093/bioinformatics/bty742

M3 - Article

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SN - 1367-4803

VL - 35

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EP - 1078

JO - Bioinformatics (Oxford, England)

JF - Bioinformatics (Oxford, England)

IS - 6

ER -