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Welcome to your new space!

OpenCGA is an open-source project that aims to provide a Big Data storage engine and analysis framework for genomic scale data analysis of hundreds of terabytes

Main Features

  • High-performance and scalable variant storage and index that allow to load and merge VCF/gVCF files
  • You can annotate and calculate statistic for all the variants
  • Client libraries developed in Java, Pytho, R and Javscript
  • Clinical interpretation analysis of samples and families
  • Integrated Catalog keeps track of users, files, jobs, clinical data, ...
  • Interactive web-based data mining tool based on IVA


Latest news:

OpenCGA v1.2.0 Released
We are pleased to announce new version 1.2.0. This is probably one of the biggest and most significant OpenCGA release in terms of new features and improvements, during this release a total of 23,528 additions and 16,107 deletions were applied. To highlight some of the most significant improvements: now you can define internal releases, more secure session tokens with JWT, users can now belong to more than one group, huge performance improvement in ACL queries, new variant basic merge mode,…
Welcome to OpenCGA Blog!
Many (good) things are happening during last months in OpenCGA, so it's time to start this blog to write about news, updates, releases, ...

Variant Storage and Analysis

Clinical Genomics


Source Code

Web based on IVA project at

Server based on OpenCGA at


IVA is a collaborative project that aims to integrate as many reference human studies as possible, you can contact us for feature request. If you want to contribute to the code you are more than welcome to contribute to IVA and OpenCGA


Ignacio Medina (HPCS, University of Cambridge)

Dr. Augusto Rendon (Genomics England)

Dr. Stefan Gräf (Clinical School, University of Cambridge)

Dr. Joaquin Dopazo (CIPF)

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