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Species Abundance Information Improves Sequence Taxonomy Classification Accuracy

Dr. Benjamin KaehlerUniversity of New South Wales Canberra

Date:06 September 2019, Friday

Location:S16-03-04, Faculty of Science

Time:03:00PM to 04:00PM


Popular naive Bayes taxonomic classifiers for amplicon sequences assume that all species in the reference database are equally likely to be observed. We demonstrate that classification accuracy degrades linearly with the degree to which that assumption is violated, and in practice it is always violated. By incorporating environment-specific taxonomic abundance information, we demonstrate that species-level resolution is attainable. SeeĀ