Genomics Coordination Center, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
Bioinformatics. 2019 Mar 15;35(6):1076-1078. doi: 10.1093/bioinformatics/bty742.
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.
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.
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.
生物数据的数量和复杂性迅速增加。许多没有生物信息学背景的临床专业人员和生物医学研究人员正在生成大型 '-omics' 数据，但并不总是具备管理、处理或公开共享这些数据的工具。
在这里，我们展示了 MOLGENIS Research，这是一个开源的 Web 应用程序，用于收集、管理、分析、可视化和共享大型复杂的生物医学数据集，而无需先进的生物信息学技能。
MOLGENIS Research 是免费提供的（开源软件）。它可以从源代码安装（请参见 http://github.com/molgenis），也可以下载为预编译的 WAR 文件（在您自己的服务器上），在 Docker 容器中设置（请参见 http://molgenis.github.io），或请求作为软件即服务订阅。有关公共演示实例和完整的安装说明，请参见 http://molgenis.org/research。
