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

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, achieving comparable or better accuracy to the RDP Naive Bayesian Classifier with a simpler algorithm that does not require training.