dada2

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see dada2.

Accurate, high-resolution sample inference from amplicon sequencing data


Bioconductor version: 3.11

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.

Author: Benjamin Callahan <benjamin.j.callahan at gmail.com>, Paul McMurdie, Susan Holmes

Maintainer: Benjamin Callahan <benjamin.j.callahan at gmail.com>

Citation (from within R, enter citation("dada2")):

Installation

To install this package, start R (version "4.0") and enter:


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

BiocManager::install("dada2")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("dada2")
Introduction to dada2 HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Classification, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software
Version 1.16.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License LGPL-3
Depends R (>= 3.4.0), 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)
System Requirements GNU make
URL http://benjjneb.github.io/dada2/
Bug Reports https://github.com/benjjneb/dada2/issues
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Suggests BiocStyle, knitr, rmarkdown
Linking To Rcpp, RcppParallel
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package dada2_1.16.0.tar.gz
Windows Binary dada2_1.16.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra) dada2_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/dada2
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/dada2
Bioc Package Browser https://code.bioconductor.org/browse/dada2/
Package Short Url https://bioconductor.org/packages/dada2/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive