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

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

Abstract 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 i...

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Main Authors:	Alan F. Rubin, Jeremy Stone, Aisha Haley Bianchi, Benjamin J. Capodanno, Estelle Y. Da, Mafalda Dias, Daniel Esposito, Jonathan Frazer, Yunfan Fu, Sally B. Grindstaff, Matthew R. Harrington, Iris Li, Abbye E. McEwen, Joseph K. Min, Nick Moore, Olivia G. Moscatelli, Jesslyn Ong, Polina V. Polunina, Joshua E. Rollins, Nathan J. Rollins, Ashley E. Snyder, Amy Tam, Matthew J. Wakefield, Shenyi Sunny Ye, Lea M. Starita, Vanessa L. Bryant, Debora S. Marks, Douglas M. Fowler
Format:	Article
Language:	English
Published:	BMC 2025-01-01
Series:	Genome Biology
Subjects:	Multiplexed assays of variant effect MAVEs Deep mutational scanning DMS Variant classification Functional genomics
Online Access:	https://doi.org/10.1186/s13059-025-03476-y
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