Sign in
BioinformaticsbioRxiv
Preprint

COVATOR: A Software for Chimeric Coronavirus Identification

Peter Tharwat HabibiD

Abstract

The term chimeric virus was not popular in the last decades. Recently, according to current sequencing efforts in discovering COVID-19 Secrets, the generated information assumed the presence of 6 Coronavirus main strains, but coronavirus diverges into hundreds of sub-strains. the bottleneck is the mutation rate. With two mutation/month, humanity will meet a new sub-strain every month. Tracking new sequenced viruses is urgently needed because of the pathogenic effect of the new substrains. here we introduce COVATOR, A user-friendly and python-based software that identifies viral chimerism. COVATOR aligns input genome and protein that has no known source, against genomes and protein with known source, then gives the user a graphical summary.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISCleemput '20Akther '20Smith '23Kwon '21Barrett '22Lemoine '20
57% semantic matchBioinformatics
Sara Cleemput, Wim Dumon, Vagner Fonseca+5 more·Bioinformatics·Feb 25, 2020· 164 citations