The dada2 package is centered around the DADA2 algorithm for accurate high-resolution of sample composition from amplicon sequencing data. The DADA2 algorithm is both more sensitive and more specific than commonly used OTU methods, and can resolve sequence variants that differ by as little as one nucleotide.
The dada2 package also provides a full set of tools for taking raw amplicon sequencing data all the way through to a feature table representing sample composition. Provided facilities include:
Quality filtering (
Sample Inference (
Chimera Removal (
Merging of Paired Reads (
Taxonomic Classification (
Benjamin Callahan firstname.lastname@example.org
Paul J McMurdie II email@example.com
Michael Rosen firstname.lastname@example.org
Susan Holmes email@example.com
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.