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dada2

Accurate, high-resolution sample inference from amplicon sequencing data

Bioconductor version: 3.23 · Package version: 1.40.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("dada2")

Details

MaintainerBenjamin Callahan <benjamin.j.callahan@gmail.com>
AuthorBenjamin Callahan <benjamin.j.callahan@gmail.com>, Paul McMurdie, Susan Holmes
LicenseLGPL-2
URLhttp://benjjneb.github.io/dada2/
Bug Reportshttps://github.com/benjjneb/dada2/issues
System RequirementsGNU make
Downloads rank3655
Source branchRELEASE_3_23
biocViewsClassification, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagedada2_1.40.0.tar.gz
Windows binary (x86_64)dada2_1.40.0.zip
macOS binary (arm64)dada2_1.40.0.tgz
macOS binary (x86_64)dada2_1.40.0.tgz
Dependencies

Depends: R (>= 4.1.0), Rcpp (>= 0.12.0), methods (>= 3.4.0)

Imports: Biostrings (>= 2.42.1), ggplot2 (>= 2.1.0), reshape2 (>= 1.4.1), ShortRead (>= 1.32.0), RcppParallel (>= 4.3.0), parallel (>= 3.2.0), IRanges (>= 2.6.0), XVector (>= 0.16.0), BiocGenerics (>= 0.22.0)

LinkingTo: Rcpp, RcppParallel

Suggests: BiocStyle, knitr, rmarkdown

Reverse dependencies

Imports Me (5): DBTC, MiscMetabar, QsRutils, Rbec, tidyGenR

Suggests Me (3): demulticoder, mia, microbial