MAVE resources

Multiplexed assays of variant effects (MAVEs) allow us to assess (in a single experiment) thousands of variants simultaneously. This technique, which harnesses the power of next-gen sequencing, yields large-scale data sets that can shed light on the functional consequences of protein variants and ultimately on the the landscape of human genetic variation. We are currently working on providing a comprehensive MAVE knowledge base. We hope these preliminary resources will be a helpful starting place!

If you are interested in helping to further develop this resource, please contact program manager Lara Muffley (muffley [@] uw.edu)

 

MaveDB

A public repository for variant effect maps

MAVE registry

A collaborative resource for sharing progress on MAVEs

MAVE impute

Impute missing data for variant effect maps


 

So you want to make (or use!) a variant effect map…

What tools do I need? What variables should I consider? How do I get started?

Educational Resources (clinical application)

Educational Resources (experimental)

  • Comprehensive MAVE-relevant reviews Thinking about incorporating MAVEs into your work? Visit our MAVE educational resources page to find comprehensive MAVE-relevant reviews.

  • Technology and methods development manuscripts Designing a MAVE?
    >>
    Follow this link<< to view granular reviews and seminal papers relevant to methods at each stage of the MAVE development process.

Experimental Protocols

New! MAVE protocols collection in protocols.io.

https://www.protocols.io/workspaces/atlas-of-variant-effects-alliance

To add your protocol to the collection, please read this how-to guide or watch this how-to-video.

Educational Videos

Computational Resources

Monthly Seminar / Annual Meeting

Discussion Forums

Atlas of Variant Effects Alliance community slack channel (https://www.varianteffect.org/membership)