Haplocov: unsupervised classification and rapid detection of novel emerging variants of sars-cov-2

HIGHLIGHTS

  • who: Matteo Chiara from the University of Milan, Milan, Italy have published the research work: HaploCoV: unsupervised classification and rapid detection of novel emerging variants of SARS-CoV-2, in the Journal: (JOURNAL) of 16/07/2021
  • what: In the light of these considerations the authors propose an intermediate approach wherein phenetic clustering of viral genomes is applied to stratify viral isolates according to carefully selected criteria; and subsequently genomic features are used to infer/prioritize novel variants of potential epidemiological relevance by leveraging knowledge of the characteristics of current and past VOC/VOI/ VUM . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?