A Bayesian taxonomic classification method for 16S rRNA gene sequences with improved species-level accuracy

BMC Bioinformatics

Table 3 Comparison of the classification accuracies using a real-world dataset

Each entry in the table shows the F-scores for a classifier (i.e., rows) based on all the OTU sequences in the msd16s dataset, as described in the main text. Two confidence score thresholds (CST), 0.8 and 0.5, were applied for BLCA, RDP Classifier, and SPINGO, the thresholds as in Table 1. Note that the SPINGO program does not produce family-level classification. In addition, Kraken and MEGAN do not provide any probabilistic-based parameters for evaluating the assigned taxa, thus we used their default taxonomic assignments for comparison

ISSN: 1471-2105