dada2
This is the released version of dada2; for the devel version, see dada2.
Accurate, high-resolution sample inference from amplicon sequencing data
Bioconductor version: Release (3.23)
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("dada2")):Benjamin Callahan, Paul McMurdie, Susan Holmes. dada2: Accurate, high-resolution sample inference from amplicon sequencing data. doi:10.18129/B9.bioc.dada2, R package version 1.40.0, https://bioconductor.org/packages/dada2.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") 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 | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | Classification, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software |
| Version | 1.40.0 |
| In Bioconductor since | BioC 3.3 (R-3.3) (10.5 years) |
| License | LGPL-2 |
| 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) |
| System Requirements | GNU make |
| URL | http://benjjneb.github.io/dada2/ |
| Bug Reports | https://github.com/benjjneb/dada2/issues |
See More
| Suggests | BiocStyle, knitr, rmarkdown |
| Linking To | Rcpp, RcppParallel |
| Enhances | |
| Depends On Me | |
| Imports Me | DBTC, MiscMetabar, QsRutils, Rbec, tidyGenR |
| Suggests Me | demulticoder, mia, microbial |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | dada2_1.40.0.tar.gz |
| Windows Binary (x86_64) | dada2_1.40.0.zip |
| macOS Binary (big-sur-x86_64) | dada2_1.40.0.tgz |
| macOS Binary (sonoma-arm64) | dada2_1.40.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/dada2 |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/dada2 |
| Package Short Url | https://bioconductor.org/packages/dada2/ |
| Package Downloads Report | Download Stats |