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CDKAM: a taxonomic classification tool using discriminative k-mers and approximate matching strategies.

Van-Kien BuiChaochun Wei
Published in: BMC bioinformatics (2020)
CDKAM is an effective program with higher accuracy and lower memory requirement for TGS metagenome sequence classification. It produces a high species-level accuracy.
Keyphrases
  • deep learning
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  • respiratory syndrome coronavirus
  • genetic diversity