MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect
- Author(s)
- Esposito, D; Weile, J; Shendure, J; Starita, LM; Papenfuss, AT; Roth, FP; Fowler, DM; Rubin, AF;
- Details
- Publication Year 2019-11-04,Volume 20,Issue #1,Page 223
- Journal Title
- Genome Biology
- Publication Type
- Journal Article
- Abstract
- 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.
- Publisher
- BMC
- Research Division(s)
- Bioinformatics
- PubMed ID
- 31679514
- Publisher's Version
- https://doi.org/10.1186/s13059-019-1845-6
- Open Access at Publisher's Site
https://doi.org/10.1186/s13059-019-1845-6- NHMRC Grants
- NHMRC/1054618, NHMRC/1116955,
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2019-11-20 02:45:18
Last Modified: 2019-11-21 09:48:39