PT  - JOURNAL ARTICLE
AU  - Benjamin J Callahan
AU  - Paul J McMurdie
AU  - Michael J Rosen
AU  - Andrew W Han
AU  - Amy Jo Johnson
AU  - Susan P Holmes
TI  - DADA2: High resolution sample inference from amplicon data
AID  - 10.1101/024034
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 024034
4099  - http://biorxiv.org/content/early/2015/08/06/024034.short
4100  - http://biorxiv.org/content/early/2015/08/06/024034.full
AB  - Microbial communities are commonly characterized by amplifying and sequencing target genes, but errors limit the precision of amplicon sequencing. We present DADA2, a software package that models and corrects amplicon errors. DADA2 identified more real variants than other methods in Illumina-sequenced mock communities, some differing by a single nucleotide, while outputting fewer spurious sequences. DADA2 analysis of vaginal samples revealed a diversity of Lactobacillus crispatus strains undetected by OTU methods.