sample inference from amplicon sequencing data
DescriptionThe 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.
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Install this software package
If the package is available for the distribution you are currently using on your computer then install the software by clicking on…Install r-bioc-dada2