# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "dada2" in publications use:' type: software license: LGPL-2.0-only title: 'dada2: Accurate, high-resolution sample inference from amplicon sequencing data' version: 1.33.0 doi: 10.1038/nmeth.3869 abstract: 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. authors: - family-names: Callahan given-names: Benjamin email: benjamin.j.callahan@gmail.com - family-names: McMurdie given-names: Paul - family-names: Holmes given-names: Susan preferred-citation: type: article title: 'DADA2: High-resolution sample inference from Illumina amplicon data' authors: - family-names: Callahan given-names: Benjamin J - family-names: McMurdie given-names: Paul J - family-names: Rosen given-names: Michael J - family-names: Han given-names: Andrew W - family-names: Johnson given-names: Amy Jo A - family-names: Holmes given-names: Susan P journal: Nature Methods volume: '13' year: '2016' doi: 10.1038/nmeth.3869 start: 581-583 repository: https://bioc.r-universe.dev repository-code: https://github.com/benjjneb/dada2 url: http://benjjneb.github.io/dada2/ date-released: '2023-04-09' contact: - family-names: Callahan given-names: Benjamin email: benjamin.j.callahan@gmail.com