Accurate, high-resolution sample inference from amplicon
sequencing data
The dada2 package 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.
Benjamin Callahan <benjamin.j.callahan@gmail.com>, Paul McMurdie, Susan Holmes
ImmunoOncology, Microbiome, Sequencing, Classification,
Metagenomics
'RcppExports.R' 'allClasses.R' 'allPackage.R' 'chimeras.R'
'dada.R' 'errorModels.R' 'filter.R' 'misc.R' 'multiSample.R'
'paired.R' 'plot-methods.R' 'sequenceIO.R' 'show-methods.R'
'taxonomy.R'