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SINTAX: a simple non-Bayesian taxonomy classifier for 16S and ITS sequences

Robert C. Edgar
doi: https://doi.org/10.1101/074161
Robert C. Edgar
Independent Investigator Tiburon, California, USA.
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Abstract

Metagenomics experiments often characterize microbial communities by sequencing the ribosomal 16S and ITS regions. Taxonomy prediction is a fundamental step in such studies. The SINTAX algorithm predicts taxonomy by using k-mer similarity to identify the top hit in a reference database and provides bootstrap confidence for all ranks in the prediction. SINTAX achieves comparable or better accuracy to the RDP Naive Bayesian Classifier with a simpler algorithm that does not require training. Most tested methods are shown to have high rates of over-classification errors where novel taxa are incorrectly predicted to have known names.

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Posted September 09, 2016.
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SINTAX: a simple non-Bayesian taxonomy classifier for 16S and ITS sequences
Robert C. Edgar
bioRxiv 074161; doi: https://doi.org/10.1101/074161
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SINTAX: a simple non-Bayesian taxonomy classifier for 16S and ITS sequences
Robert C. Edgar
bioRxiv 074161; doi: https://doi.org/10.1101/074161

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