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Species Abundance Information Improves Sequence Taxonomy Classification Accuracy
Dr Benjamin Kaehler
University of New South Wales, Canberra
Friday 06 September 2019, 03:00pm - 04:00pm
S16-03-04, Faculty of Science

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. See