Open Data for Genome Research: Multiplex Assays of Variant Effect (MAVE)


-
New, open-source database improves genomics research collaboration
Sharing datasets that reveal the function of genomic variants in health and disease has become easier, with the launch of a new, open-source database developed by Australian and North American researchers.
The MaveDB database is a repository for data from experiments - called multiplex assays of variant effect (MAVEs) - that systematically measure the impact of thousands of individual sequence variants on a gene's function.
-
Open-source database enhances genomics research collaboration
An open-source database of genomic variants in health and disease has been developed by Australian and North American researchers to simplify the sharing of this information between academics.
The MaveDB database stores data from multiplex assays of variant effect (MAVE) experiments, which systematically measure the impact of thousands of individual sequence variants on a gene’s function. It was developed by researchers from the Walter and Eliza Hall Institute of Medical Research in Melbourne, Australia, as well as the University of Washington in the US and the University of Toronto in Canada.
-
Open-source Database Enhances Genomics Research Collaboration
The MaveDB database is a repository for data from experiments – called multiplex assays of variant effect (MAVEs) – that systematically measure the impact of thousands of individual sequence variants on a gene’s function. These experiments can provide valuable information about how proteins produced by that gene function, how variants in that gene may contribute to disease, and how to engineer synthetic versions of naturally occurring proteins that are more effective than the original protein.
MaveDB is the first publicly accessible database for this data. Its development was led by Alan Rubin from the Walter and Eliza Hall Institute, Australia, Associate Professor Douglas Fowler from the University of Washington, US, and Professor Frederick Roth from the University of Toronto, Canada.
-
- Login or register to post comments
Printer-friendly version
- 3233 reads
PDF version
More in Tux Machines
- Highlights
- Front Page
- Latest Headlines
- Archive
- Recent comments
- All-Time Popular Stories
- Hot Topics
- New Members
- March 2021 (244)
- February 2021 (1136)
- January 2021 (1088)
- December 2020 (1091)
- November 2020 (1042)
- October 2020 (1161)
- September 2020 (1124)
- August 2020 (1064)
- July 2020 (1162)
- June 2020 (1104)
- May 2020 (1203)
- April 2020 (1211)
- March 2020 (1184)
- February 2020 (1071)
- January 2020 (1225)
- December 2019 (1210)
- November 2019 (1180)
- October 2019 (1243)
- September 2019 (1104)
- August 2019 (1115)
- July 2019 (1084)
- June 2019 (976)
- May 2019 (1028)
- April 2019 (1046)
- March 2019 (1165)
- February 2019 (1019)
- January 2019 (1149)
- December 2018 (996)
- November 2018 (989)
- October 2018 (942)
Recent comments
3 hours 30 min ago
10 hours 36 min ago
11 hours 29 min ago
11 hours 34 min ago
18 hours 22 min ago
18 hours 38 min ago
18 hours 48 min ago
19 hours 6 sec ago
19 hours 1 min ago
19 hours 5 min ago