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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s13059-025-03476-y

Similar Items