sample inference from amplicon sequencing data

 The dada2 package contributes to software workflows to interpret
 sequencing data from microbiota - the relative abundance of
 bacterial and/or yeast, typically measured in the gut.
 It infers exact amplicon sequence
 variants (ASVs) from high-throughput amplicon sequencing data,
 replacing the coarser and less accurate OTU clustering approach.
 The dada2 pipeline takes as input demultiplexed fastq files, and
 outputs the sequence variants and their sample-wise abundances
 after removing substitution and chimera errors. Taxonomic
 classification is available via a native implementation of the RDP
 naive Bayesian classifier, and species-level assignment to 16S
 rRNA gene fragments by exact matching.