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Welcome to the MaveDB Documentation

MaveDB is the open-access database for Multiplexed Assays of Variant Effect (MAVE) data. It provides a centralized repository for datasets generated by techniques such as Deep Mutational Scanning (DMS) and Massively Parallel Reporter Assays (MPRA), making functional variant effect data findable, accessible, and reusable for the research and clinical genomics communities.

MaveDB currently hosts over 2,700 datasets covering more than 7 million variants across 700+ human genes, contributed by researchers worldwide.

Who is MaveDB for?

  • Data users -- Researchers, clinicians, and bioinformaticians searching for functional evidence about genetic variants.
  • Data submitters -- Laboratories depositing MAVE experiments and scores into a public repository.
  • Tool developers -- Programmers building applications that consume variant effect data.

What can you do?

  • Find, browse, and retrieve data


    Search for MAVE datasets by gene, target, organism, or publication. Download scores, counts, and mapped variants in multiple formats.

    Finding data

  • Submit your data


    Deposit your MAVE experiment results into MaveDB. Organize your data as experiments and score sets with rich metadata.

    Submitting data

  • Interpret functional data


    Use MaveMD to incorporate MAVE functional evidence into clinical variant interpretation workflows, with score calibrations and connections to ClinVar, ClinGen, and other resources.

    MaveMD

  • Access data programmatically


    Use the MaveDB API or Python client to search, retrieve, and integrate MAVE data into your analysis pipelines.

    Programmatic access

New to MaveDB?

Start with the Getting Started guide to learn about MAVE experiments, the MaveDB data model, and how to navigate the platform.

Citing MaveDB

If you use MaveDB in your research, please cite us. See the citation page for details.

Community and support

  • Join the discussion on MaveDB Zulip to ask questions, share feedback, or connect with other users.
  • Report bugs or request features on the GitHub issue tracker.

More resources

  • Reference -- Accession numbers, data formats, score calibrations, variant mapping, and other technical details.
  • Troubleshooting -- Solutions for common upload errors, variant validation issues, and other problems.
  • FAQ -- Answers to common questions about using MaveDB.

Source code

MaveDB is open source under the AGPLv3 license. Source code is available on GitHub: