数据库名称：VIPdb
数据库简述：Variant Impact Predictor Database
所属国家/地区：United States
数据库主要信息：Genome sequencing identifies vast number of genetic variants. Predicting these variants’ molecular and clinical effects is one of the preeminent challenges in genetics. Accurate prediction of the impact of genetic variants improves our understanding of how genetic information is conveyed to molecular and cellular functions, and is an essential step towards precision medicine. Over one hundred tools/resources have been developed specifically for this purpose. We summarize these tools as well as their characteristics, in the genetic Variant Impact Predictor Database (VIPdb). This database will help researchers and clinicians explore appropriate tools, and inform the development of improved methods.
建立年份：2019
联系信息：Contact information
University/Institution:
University of California Berkeley
Address:
Gaia Andreoletti, Bakar Computational Health Sciences Institute, University of California, San Francisco, California and Department of Pediatrics, University of California, San Francisco, California.
City:
Province/State:
Country/Region:
United States
Contact name (PI/Team):
Steven E. Brenner
Contact email (PI/Helpdesk):
brenner@compbio.berkeley.edu
