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

For many disease-causing virus species, global diversity is clustered into a taxonomy of subtypes with clinical significance. In particular, the classification of infections among the subtypes of human immunodeficiency virus type 1 (HIV-1) is a routine component of clinical management, and there are...

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Veröffentlicht in:PloS one 2018-11, Vol.13 (11), p.e0206409
Hauptverfasser: Solis-Reyes, Stephen, Avino, Mariano, Poon, Art, Kari, Lila
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Sprache:eng
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