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.

Note: 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 project manager Lara Muffley (muffley [@] uw.edu)

 

MaveDB

A public repository for variant effect maps

pacybara and tileseq

Pacbio barcode clustering and barseq pipeline and TileSeq analysis pipeline for MAVEs (https://github.com/rothlab)

 

MAVE impute

Impute missing data for variant effect maps

MAVE registry

A collaborative resource for sharing progress on MAVEs


 

So you want to make a variant effect map…

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


Educational Resources

  • 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 Resources and 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 visit this how-to guide.

Educational Videos

Computational Resources

Discussion Forums

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