作者: K Joeri van der Velde , Floris Imhann , Bart Charbon , Chao Pang , David van Enckevort
DOI: 10.1093/BIOINFORMATICS/BTY742
关键词: Software 、 Source code 、 Bioinformatics 、 Genome 、 Process (engineering) 、 Container (abstract data type) 、 Biological data 、 Omics 、 Genomics 、 Computer science 、 Volume (computing)
摘要: Motivation The volume and complexity of biological data increases rapidly. Many clinical professionals 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 collect, analyze, visualize large complex datasets, need for advanced skills. Availability implementation Research is freely available (open source software). It can be installed from code (see http://github.com/molgenis), downloaded as precompiled WAR file (for your own server), setup inside Docker container http://molgenis.github.io), requested Software-as-a-Service subscription. For public demo instance complete installation instructions see http://molgenis.org/research.