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bioRxiv · 10.1101/024034

DADA2: High resolution sample inference from amplicon data

Benjamin J Callahan·Paul J McMurdie·Michael J Rosen·Andrew W Han·Amy J Johnson·Susan P Holmes
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Abstract

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.

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Benjamin J Callahan, Paul J McMurdie, Michael J Rosen, Andrew W Han, Amy J Johnson, Susan P Holmes. 2015-08-06. DADA2: High resolution sample inference from amplicon data. https://doi.org/10.1101/024034

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