DATO — 16S Taxonomic Classifier

Taxonomic classification for full-length 16S rRNA Nanopore sequences

A neural-network classifier returning genus-level identification with confidence scoring at six taxonomic levels. Validated against EMU and BugSeq on real human gut microbiome data (Pearson r = 0.97).

Inference latency <100 ms per sequence

Coverage bacterial, archaeal, and eukaryotic 16S

Privacy processed in memory

Paste a 16S rRNA sequence (50–5000 bp). Predictions are returned at six taxonomic levels with confidence scores. Try a Bacterial example.

Sequence

Result

Classification

Upload a FASTA or FASTQ file (gzipped supported). Each sequence is classified individually and a community-level abundance summary is provided. Maximum 150 MB.

File

Drop your file here or click to browse

.fasta · .fa · .fastq · .fq · .gz

Sample size Number of reads to process. Smaller values give faster previews.

2,000

Adapter trimming (porechop) Auto-detects ONT adapter signatures; trimming runs only when more than 5% of sampled reads contain adapter sequences.

Minimum quality (FASTQ only) Phred score threshold. 0 disables filtering. 7 is the permissive Nanopore default.

Processing pipeline

Result

Genus-level abundance, top 25

AI Generated summary

Submit a sequence or sequencing dataset