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MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays

by Rollins, Nathan J. , Polunina, Polina V. , Li, Iris , Esposito, Daniel , Stone, Jeremy , Grindstaff, Sally B. , Ong, Jesslyn , Bryant, Vanessa L. , Snyder, Ashley E. , Starita, Lea M. , Marks, Debora S. , Moscatelli, Olivia G. , Fu, Yunfan , Da, Estelle Y. , Min, Joseph K. , Tam, Amy , Rubin, Alan F. , Frazer, Jonathan , Bianchi, Aisha Haley , Dias, Mafalda , Rollins, Joshua E. , Wakefield, Matthew J. , Capodanno, Benjamin J. , Fowler, Douglas M. , Moore, Nick , Harrington, Matthew R. , McEwen, Abbye E.

in Animal Genetics and Genomics / Bioinformatics / Biomedical and Life Sciences / Data Curation / Data models / Databases, Genetic / Datasets / Deep mutational scanning / Design / DMS / Evolutionary Biology / Experiments / Functional genomics / gene editing / Genetic diversity / Genetic Variation / genome / Genome editing / Human Genetics / Humans / Life Sciences / MAVEs / measurement / Metadata / Microbial Genetics and Genomics / Multiplexed assays of variant effect / Plant Genetics and Genomics / Proteins / Software / Variant classification

2025

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MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays

2025

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MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays

2025

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Journal Article

MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays

Rollins, Nathan J.,

Polunina, Polina V.,

Li, Iris,

Esposito, Daniel,

Stone, Jeremy,

Grindstaff, Sally B.,

Ong, Jesslyn,

Bryant, Vanessa L.,

Snyder, Ashley E.,

Starita, Lea M.,

Marks, Debora S.,

Moscatelli, Olivia G.,

Fu, Yunfan,

Da, Estelle Y.,

Min, Joseph K.,

Tam, Amy,

Rubin, Alan F.,

Frazer, Jonathan,

Bianchi, Aisha Haley,

Dias, Mafalda,

Rollins, Joshua E.,

Wakefield, Matthew J.,

Capodanno, Benjamin J.,

Fowler, Douglas M.,

Moore, Nick,

Harrington, Matthew R.,

McEwen, Abbye E.

2025

Overview

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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Publisher

BioMed Central,Springer Nature B.V,BMC

Subject

Animal Genetics and Genomics

/ Bioinformatics

/ Biomedical and Life Sciences