Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

GESS

General information

URL: https://wan-bioinfo.shinyapps.io/GESS
Full name: Global Evaluation of SARS-CoV-2/hCoV-19 Sequences
Description: GESS reveals geographical distributions of SNVs around the world and across the states of USA, while exhibiting time-dependent patterns for SNV occurrences which reflect development of SARS-CoV-2 genomes.
Year founded: 2021
Last update:
Version: v1.0
Accessibility:
Unaccessible
Country/Region: United States

Classification & Tag

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

Contact information

University/Institution: Indiana University-Purdue University Indianapolis
Address:
City: Indianapolis
Province/State: Indiana
Country/Region: United States
Contact name (PI/Team): Jun Wan
Contact email (PI/Helpdesk): junwan@iu.edu

Publications

33045727
GESS: a database of global evaluation of SARS-CoV-2/hCoV-19 sequences. [PMID: 33045727]
Fang S, Li K, Shen J, Liu S, Liu J, Yang L, Hu CD, Wan J.

The COVID-19 outbreak has become a global emergency since December 2019. Analysis of SARS-CoV-2 sequences can uncover single nucleotide variants (SNVs) and corresponding evolution patterns. The Global Evaluation of SARS-CoV-2/hCoV-19 Sequences (GESS, https://wan-bioinfo.shinyapps.io/GESS/) is a resource to provide comprehensive analysis results based on tens of thousands of high-coverage and high-quality SARS-CoV-2 complete genomes. The database allows user to browse, search and download SNVs at any individual or multiple SARS-CoV-2 genomic positions, or within a chosen genomic region or protein, or in certain country/area of interest. GESS reveals geographical distributions of SNVs around the world and across the states of USA, while exhibiting time-dependent patterns for SNV occurrences which reflect development of SARS-CoV-2 genomes. For each month, the top 100 SNVs that were firstly identified world-widely can be retrieved. GESS also explores SNVs occurring simultaneously with specific SNVs of user's interests. Furthermore, the database can be of great help to calibrate mutation rates and identify conserved genome regions. Taken together, GESS is a powerful resource and tool to monitor SARS-CoV-2 migration and evolution according to featured genomic variations. It provides potential directive information for prevalence prediction, related public health policy making, and vaccine designs.

Nucleic Acids Res. 2021:49(D1) | 50 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
1175/6895 (82.973%)
Genotype phenotype and variation:
159/1005 (84.279%)
1175
Total Rank
49
Citations
12.25
z-index

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Record metadata

Created on: 2020-11-09
Curated by:
Yuxin Qin [2023-09-14]
Lin Liu [2022-08-22]
Lin Liu [2021-02-22]
Xiaonan Liu [2020-11-26]
Xiaonan Liu [2020-11-25]
Xiaonan Liu [2020-11-24]
Chang Liu [2020-11-09]