Package: dada2
Type: Package
Title: Accurate, high-resolution sample inference from amplicon
        sequencing data
Description: The dada2 package infers exact sequence variants (SVs) from amplicon 
    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.
Version: 1.4.0
Date: 2017-04-24
Maintainer: Benjamin Callahan <benjamin.j.callahan@gmail.com>
Author: Benjamin Callahan <benjamin.j.callahan@gmail.com>, Paul McMurdie, Susan
    Holmes
License: LGPL-3
LazyLoad: yes
Depends: R (>= 3.2.0), Rcpp (>= 0.11.2), methods (>= 3.2.0)
Imports: Biostrings (>= 2.32.1), ggplot2 (>= 2.1.0), data.table (>=
        1.9.4), reshape2 (>= 1.4.1), ShortRead (>= 1.24.0),
        RcppParallel (>= 4.3.0), parallel (>= 3.2.0)
Suggests: BiocStyle, knitr, rmarkdown
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
VignetteBuilder: knitr
biocViews: Microbiome, Sequencing, Classification, Metagenomics
URL: http://benjjneb.github.io/dada2/
BugReports: https://github.com/benjjneb/dada2/issues
LazyData: true
Collate: 'RcppExports.R' 'allClasses.R' 'allPackage.R' 'chimeras.R'
        'dada.R' 'errorModels.R' 'filter.R' 'misc.R' 'multiSample.R'
        'paired.R' 'plot-methods.R' 'sequenceIO.R' 'show-methods.R'
        'taxonomy.R'
RoxygenNote: 6.0.1
Built: R 3.3.2; x86_64-apple-darwin14.5.0; 2017-06-06 17:14:48 UTC; unix
