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
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
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
