DADA2: High-resolution sample inference from Illumina amplicon data

作者：Callahan, Benjamin J.^*; McMurdie, Paul J.; Rosen, Michael J.; Han, Andrew W.; Johnson, Amy Jo A.; Holmes, Susan P.

来源：Nature Methods, 2016, 13(7): 581-+.

DOI：10.1038/NMETH.3869

• ERROR-CORRECTION

We present the open-source software package DADA2 for modeling and correcting Illumina-sequenced amplicon errors (https://github.com/benjjneb/dada2). DADA2 infers sample sequences exactly and resolves differences of as little as 1 nucleotide. In several mock communities, DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.

• 出版日期2016-7