r-bioc-dada2 - 1.32.0+dfsg-1 main

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.