Simultaneous Analysis of Multiplexed Metabarcodes
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
The repository also keeps web-only articles.
- Help pages
- 40 (35 internal)
- Examples that run
- 0%5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Issues over time
6 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/grunwaldlab/demulticoder on 2026-10-21.
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest2025-05-05 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-05-05
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.0.2
- Download size
- 1.5 MB
Cite
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