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Main Features
- Most important high-quality variant studies normalised and integrated in just one server database
- Rich variant annotation performed
- Population frequencies calculated
- Interactive web-based data mining tool based on IVA
Contact
Ignacio Medina (im411@cam.ac.uk)
Latest news:
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
Dr. Joaquin Dopazo (CIPF)
Dr. Stefan Gräf (Clinical School, University of Cambridge)
Ignacio Medina (HPCS, University of Cambridge)