Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

REVA

General information

URL: http://reva.gao-lab.org
Full name: Repository for Expression-modulating VAriants
Description: REVA is a database specifically designed for storing experimentally validated variants.
Year founded: 2021
Last update: 2021-11-21
Version: v1.1
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Peking University
Address: State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Biomedical Pioneering Innovation Center (BIOPIC) & Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), Peking University, Beijing 100871, China
City: Beijing
Province/State:
Country/Region: China
Contact name (PI/Team): Ge Gao
Contact email (PI/Helpdesk): gaog@mail.cbi.pku.edu.cn

Publications

34224878
REVA as A Well-curated Database for Human Expression-modulating Variants. [PMID: 34224878]
Yu Wang, Fang-Yuan Shi, Yu Liang, Ge Gao

More than 90% of disease- and trait-associated human variants are noncoding. By systematically screening multiple large-scale studies, we compiled REVA, a manually curated database for over 11.8 million experimentally tested noncoding variants with expression-modulating potentials. We provided 2424 functional annotations that could be used to pinpoint the plausible regulatory mechanism of these variants. We further benchmarked multiple state-of-the-art computational tools and found their limited sensitivity remains a serious challenge for effective large-scale analysis. REVA provides high-quality experimentally tested expression-modulating variants with extensive functional annotations, which will be useful for users in the noncoding variants community. REVA is available at http://reva.gao-lab.org.

Genomics Proteomics Bioinformatics. 2021:() | 2 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6116/6895 (11.313%)
Gene genome and annotation:
1834/2021 (9.302%)
Genotype phenotype and variation:
900/1005 (10.547%)
Metadata:
617/719 (14.325%)
Health and medicine:
1550/1738 (10.875%)
6116
Total Rank
2
Citations
0.5
z-index

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Record metadata

Created on: 2022-04-19
Curated by:
Lin Liu [2022-06-17]
Qianpeng Li [2022-05-13]
Jing Wei [2022-04-19]