Article

Short k-mer Abundance Profiles Yield Robust Machine Learning Features and Accurate Classifiers for RNA Viruses

2020-06-25

Abstract excerpt

High throughout sequencing technologies have greatly enabled the study of genomics, transcriptomics and metagenomics. Automated annotation and classification of the vast amounts of generated sequence data has become paramount for facilitating biological sciences. Genomes of viruses can be radically different from all life, both in terms of molecular structure and primary sequence. Alignment-based and profile-based...

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Literature Corpus work: 3751c360-b705-5be1-b3d2-5e9fc4dee61f
DOI: 10.1101/2020.06.25.170779

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