Leveraging machine learning for taxonomic classification of emerging astroviruses.

ABSTRACT: Astroviruses are a family of genetically diverse viruses associated with disease in humans and birds with significant health effects and economic burdens. Astrovirus taxonomic classification includes two genera, Avastrovirus and Mamastrovirus. However, with next-generation sequencing, broader interspecies transmission has been observed necessitating a reexamination of the current host-based taxonomic classification approach. In this study, a novel taxonomic classification method is presented for emergent and as yet unclassified astroviruses, based on whole genome sequence k-mer composition in addition to host information. An optional component responsible for identifying recombinant sequences was added to the method's pipeline, to counteract the impact of genetic recom

SUBMITTER: Alipour F 

PROVIDER: S-EPMC10808839 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature