MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians

Autor: Bart Charbon, Floris Imhann, Mark de Haan, K. Joeri van der Velde, Rinse K. Weersma, Fleur Kelpin, Ruggero Barbieri, Sido Haakma, Morris A. Swertz, Eleonora A. M. Festen, Dennis Hendriksen, Tommy de Boer, Rudi Alberts, Gert-Jan M. van de Geijn, Connor Stroomberg, Chao Pang, David van Enckevort, Salome Scholtens, Mariska Slofstra
Přispěvatelé: Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
Rok vydání: 2018
Předmět:
Zdroj: Bioinformatics
Bioinformatics (Oxford, England), 35(6), 1076-1078. Oxford University Press
ISSN: 1367-4811
1367-4803
Popis: 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.
Databáze: OpenAIRE