PropertyValue
?: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.
is ?:annotates of
?:creator
?:doi
  • 10.1101/2020.11.14.383075
?:doi
?:externalLink
?:journal
  • bioRxiv
?:license
  • biorxiv
?:pdf_json_files
  • document_parses/pdf_json/4035c7f6926dc4573e60bea01a0050fb8532ce2e.json
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • BioRxiv; WHO
?:title
  • COVATOR: A Software for Chimeric Coronavirus Identification
?:type
?:year
  • 2020-11-16

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