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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 |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6235296/ https://ncbi.nlm.nih.gov/pubmed/30427878 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0206409 |
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