Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: https://zikavid.org
Full name: ZIKA Virus Infection Database
Description: ZIKAVID is an online database that comprises all genes or proteins, and associated information, for which expression was experimentally measured and found to be altered after ZIKV infection.
Year founded: 2019
Last update:
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Country/Region: Brazil

Classification & Tag

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Contact information

University/Institution: Federal University of Rio Grande
Address: Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul, Av. Ipiranga, 2752 suit 709, Porto Alegre, RS, Brazil
City:
Province/State:
Country/Region: Brazil
Contact name (PI/Team): Beys-da-Silva WO
Contact email (PI/Helpdesk): walter.beys@ufrgs.br

Publications

31512145
ZIKAVID-Zika virus infection database: a new platform to analyze the molecular impact of Zika virus infection. [PMID: 31512145]
Rafael L Rosa, Lucélia Santi, Markus Berger, Emanuela F Tureta, André Quincozes-Santos, Diogo O Souza, Jorge A Guimarães, Walter O Beys-da-Silva

The recent outbreak of Zika virus (ZIKV) in Brazil and other countries globally demonstrated the relevance of ZIKV studies. During and after this outbreak, there was an intense increase in scientific production on ZIKV infections, especially toward alterations promoted by the infection and related to clinical outcomes. Considering this massive amount of new data, mainly thousands of genes and proteins whose expression is impacted by ZIKV infection, the ZIKA Virus Infection Database (ZIKAVID) was created. ZIKAVID is an online database that comprises all genes or proteins, and associated information, for which expression was experimentally measured and found to be altered after ZIKV infection. The database, available at https://zikavid.org , contains 16,984 entries of gene expression measurements from a total of 7348 genes. It allows users to easily perform searches for different experimental hosts (cell lines, tissues, and animal models), ZIKV strains (African, Asian, and Brazilian), and target molecules (messenger RNA [mRNA] and protein), among others, used in differential expression studies regarding ZIKV infection. In this way, the ZIKAVID will serve as an additional and important resource to improve the characterization of the molecular impact and pathogenesis associated with ZIKV infection.

J. Neurovirol.. 2019:() | 2 Citations (from Europe PMC, 2024-04-06)

Ranking

All databases:
5320/6000 (11.35%)
Expression:
1026/1143 (10.324%)
Literature:
466/531 (12.429%)
5320
Total Rank
2
Citations
0.4
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Record metadata

Created on: 2019-09-27
Curated by:
Lina Ma [2019-09-29]
furrukh mehmood [2019-09-29]
furrukh mehmood [2019-09-27]