r-bioc-dada2

sample inference from amplicon sequencing data

Description

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.

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Homepage

https://bioconductor.org/packages/dada2/


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