INFOGUT WG4 Benchmarking Task: 16S V3–V4 Taxonomic Classifiers

This dataset provides trained classifiers for the taxonomic assignment of 16S rRNA gene amplicon sequences targeting the V3–V4 region. All classifiers were trained using the SILVA database v138.2. These classifiers were used in the benchmarking task within INFOGUT (https://www.cost.eu/actions/CA23110/) The aim of this task is to benchmark multiple bioinformatic approaches for processing NGS data using different tools and parameter settings, and to evaluate the impact of varying NGS data quality profiles on the resulting taxonomic assignments. The dataset includes: IDTAXA classifier (compatible with the DADA2 workflow in R) Naive Bayes classifier for QIIME 2 Reference files for assignTaxonomy (DADA2-compatible training set) BLAST-based reference database for QIIME 2 All classifiers and reference databases were generated specifically for the V3–V4 region of the 16S rRNA gene to ensure optimal taxonomic resolution and compatibility with 341F & 785R primer set.