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>.
Package details |
|
---|---|
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@oregonstate.edu> |
License | MIT + file LICENSE |
Version | 0.1.2 |
URL | https://grunwaldlab.github.io/demulticoder/ https://github.com/grunwaldlab/demulticoder |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.