An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes

Title
An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes
Authors
Keywords
HIV-1, Sequence databases, Sequence alignment, Genomic databases, Viral genomics, Hepatitis B, Hepatitis B virus, Influenza A virus
Journal
PLoS One
Volume 13, Issue 11, Pages e0206409
Publisher
Public Library of Science (PLoS)
Online
2018-11-15
DOI
10.1371/journal.pone.0206409

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now