dada2
Accurate, high-resolution sample inference from amplicon sequencing data
Bioconductor version: 3.24 · Package version: 1.41.0
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
| Maintainer | Benjamin Callahan <benjamin.j.callahan@gmail.com> |
| Author | Benjamin Callahan <benjamin.j.callahan@gmail.com>, Paul McMurdie, Susan Holmes |
| License | LGPL-2 |
| URL | http://benjjneb.github.io/dada2/ |
| Bug Reports | https://github.com/benjjneb/dada2/issues |
| System Requirements | GNU make |
| Downloads rank | 3655 |
| Source branch | devel |
| biocViews | Classification, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | dada2_1.41.0.tar.gz |
| Windows binary (x86_64) | dada2_1.41.0.zip |
| macOS binary (arm64) | dada2_1.41.0.tgz |
| macOS binary (x86_64) | dada2_1.41.0.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
Reverse dependencies
Imports Me (5): DBTC, MiscMetabar, QsRutils, Rbec, tidyGenR
Suggests Me (4): demulticoder, mia, miaDash, microbial