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Welcome to OpenCGA

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 to load and merge VCF/gVCF files
  • Annotate and calculate statistics for all the variants
  • Clinical interpretation analysis of samples and families
  • Client libraries developed in Java, Pytho, R and Javscript
  • Integrated Catalog keeps track of users, files, jobs, clinical data...
  • Interactive web-based data mining tool based on IVA

Contact


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


Developers

Source Code

Web based on IVA project at  https://github.com/opencb/iva/tree/app/hgva

Server based on OpenCGA at  https://github.com/opencb/opencga

Contributing

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



Contributors

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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