Back to Search Start Over

Virus Pathogen Database and Analysis Resource (ViPR): A Comprehensive Bioinformatics Database and Analysis Resource for the Coronavirus Research Community

Authors :
Yun Zhang
Edward B. Klem
Wei Jen
Richard H. Scheuermann
Christopher N. Larsen
Sam Zaremba
Sanjeev Kumar
Brett E. Pickett
Douglas S. Greer
Zhiping Gu
Guangyu Sun
Liwei Zhou
Lucy Stewart
Source :
Viruses, Vol 4, Iss 11, Pp 3209-3226 (2012)
Publication Year :
2012
Publisher :
MDPI AG, 2012.

Abstract

Several viruses within the Coronaviridae family have been categorized as either emerging or re-emerging human pathogens, with Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) being the most well known. The NIAID-sponsored Virus Pathogen Database and Analysis Resource (ViPR, www.viprbrc.org) supports bioinformatics workflows for a broad range of human virus pathogens and other related viruses, including the entire Coronaviridae family. ViPR provides access to sequence records, gene and protein annotations, immune epitopes, 3D structures, host factor data, and other data types through an intuitive web-based search interface. Records returned from these queries can then be subjected to web-based analyses including: multiple sequence alignment, phylogenetic inference, sequence variation determination, BLAST comparison, and metadata-driven comparative genomics statistical analysis. Additional tools exist to display multiple sequence alignments, view phylogenetic trees, visualize 3D protein structures, transfer existing reference genome annotations to new genomes, and store or share results from any search or analysis within personal private ‘Workbench’ spaces for future access. All of the data and integrated analysis and visualization tools in ViPR are made available without charge as a service to the Coronaviridae research community to facilitate the research and development of diagnostics, prophylactics, vaccines and therapeutics against these human pathogens.

Details

Language :
English
ISSN :
19994915
Volume :
4
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Viruses
Publication Type :
Academic Journal
Accession number :
edsdoj.8153fbadd3954714b1b85ae33f98c780
Document Type :
article
Full Text :
https://doi.org/10.3390/v4113209