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

@inproceedings{SolisReyes2018AnOK,
  title={An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes},
  author={Stephen Solis-Reyes and Mariano Avino and Art F. Y. Poon and Lila Kari},
  booktitle={PloS one},
  year={2018}
}
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 now many classification algorithms available for this purpose. Although several of these algorithms are similar in accuracy and speed, the majority are proprietary and require laboratories to… CONTINUE READING

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