A comprehensive set of wrapper functions for the analysis of multiplex metabarcode data. It includes robust wrappers for 'Cutadapt' and 'DADA2' to trim primers, filter reads, perform amplicon sequence variant (ASV) inference, and assign taxonomy. The package can handle single metabarcode datasets, datasets with two pooled metabarcodes, or multiple datasets simultaneously. The final output is a matrix per metabarcode, containing both ASV abundance data and associated taxonomic assignments. An optional function converts these matrices into 'phyloseq' and 'taxmap' objects. For more information on 'DADA2', including information on how DADA2 infers samples sequences, see Callahan et al. (2016) <doi:10.1038/nmeth.3869>. For more details on the demulticoder R package see Sudermann et al. (2025) <doi:10.1094/PHYTO-02-25-0043-FI>.
Version: 0.1.2 Depends: R (≥ 3.0.2) Imports: furrr, purrr, readr, stringr, tidyr, dplyr, ggplot2, tibble, utils Suggests: BiocManager, Biostrings, dada2, metacoder, ShortRead, phyloseq, rmarkdown, RcppParallel, testthat (≥ 3.0.0) Published: 2025-05-05 DOI: 10.32614/CRAN.package.demulticoder Author: Martha A. Sudermann [aut, cre, cph], Zachary S. L Foster [aut], Samantha Dawson [aut], Hung Phan [aut], Jeff H. Chang [aut], Niklaus Grünwald [aut, cph] Maintainer: Martha A. Sudermann <sudermam at oregonstate.edu> BugReports: https://github.com/grunwaldlab/demulticoder/issues License: MIT + file LICENSE URL: https://grunwaldlab.github.io/demulticoder/, https://github.com/grunwaldlab/demulticoder NeedsCompilation: no Materials: README NEWS CRAN checks: demulticoder results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=demulticoder to link to this page.
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