| URL: | https://www.mavedb.org |
| Full name: | |
| Description: | MaveDB is an open-access, community-curated repository that currently hosts > 7 million experimentally measured variant-effect scores from > 1 000 multiplexed assays of variant effect (MAVEs). It provides rich metadata, interactive visualisation, programmatic APIs and support for diverse assay types—including saturation genome editing—to accelerate variant interpretation at scale. |
| Year founded: | 2019 |
| Last update: | 2025-01-21 |
| Version: | v2.0 |
| Accessibility: |
Accessible
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| Country/Region: | United States |
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| Data object: | |
| Database category: | |
| Major species: | |
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| University/Institution: | University of Washington |
| Address: | |
| City: | Seattle |
| Province/State: | Washington |
| Country/Region: | United States |
| Contact name (PI/Team): | Douglas M. Fowler |
| Contact email (PI/Helpdesk): | dfowler@uw.edu |
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MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays. [PMID: 39838450]
Multiplexed assays of variant effect (MAVEs) are a critical tool for researchers and clinicians to understand genetic variants. Here we describe the 2024 update to MaveDB ( https://www.mavedb.org/ ) with four key improvements to the MAVE community's database of record: more available data including over 7 million variant effect measurements, an improved data model supporting assays such as saturation genome editing, new built-in exploration and visualization tools, and powerful APIs for data federation and streamlined submission and access. Together these changes support MaveDB's role as a hub for the analysis and dissemination of MAVEs now and into the future. |
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MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect. [PMID: 31679514]
Multiplex assays of variant effect (MAVEs), such as deep mutational scans and massively parallel reporter assays, test thousands of sequence variants in a single experiment. Despite the importance of MAVE data for basic and clinical research, there is no standard resource for their discovery and distribution. Here, we present MaveDB ( https://www.mavedb.org ), a public repository for large-scale measurements of sequence variant impact, designed for interoperability with applications to interpret these datasets. We also describe the first such application, MaveVis, which retrieves, visualizes, and contextualizes variant effect maps. Together, the database and applications will empower the community to mine these powerful datasets. |