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titleWelcome to IVA project!

The Interactive Variant Analysis (IVA) tool

allows for

is an open-source project implemented to facilitate the filtering, analysis and interpretation of whole genome variant

browsing and analysis

data. This interactive tool allows

finding

the identification of genes affected by deleterious variants that segregate along family pedigrees, case-control or sporadic samples.

IVA

is developed and maintained at University of Cambridge and CIPF, it is freely available at https://github.com/opencb/iva

has been developed as part of the OpenCGA project, making it easy to work with clinical and variant information stored in a Catalog and Variant storage instance.


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
  • Clinical interpretation analysis of samples and families

Contact

  • Ignacio Medina
  • Joaquin Dopazo

IVA is developed and maintained at University of Cambridge and CIPF, it is freely available at https://github.com/opencb/iva

Latest news:

Blog Posts
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Variant Browser

You can efficiently browse annotated and indexed variant studies using a web-based application. 


Clinical Interpretation

You can select samples and families to perform an interpretation analysis... Disease panels are also available.

Genome Browser

A genome browser based on Genome Maps allows for a interactive and smooth variant visualisation...



Rich Configuration

You can highly customise your IVA installation thanks to the rich configuration implemented. You can easily customise the navigation bar, welcome page or the CSS.

Who is Using

IVA is a novel application but it is alrady sued in several top-level projects such as HGVA, BRIDGE, ...

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)


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