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titleWelcome 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

  • Allow to load VCF files and samples together with clinical data
  • High-performance and scalable VCF and gVCF indexing
  • VCF normalization and variant annotation
  • 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

Contact


Latest news:

Blog Posts
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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)

Recent space activity

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