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demulticoder

0.1.2Package record

Simultaneous Analysis of Multiplexed Metabarcodes

0packages depend
5.5Kdownloads / year
2.7%test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 519 wordsVignettesNoNEWSYes · 67% structured · does not mention 0.1.2Citation fileNoWebsiteYes · pkgdown

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

5.5K
CRAN downloads in the past year
Rank #8,220 · ~15/day · ~461/mo
Daily download trend is not available in this view yet.
35030 days
1.1K90 days
5.5K1 year
Compare downloads with other packages →
Also on87 r2u7 autocran

Repository

1Stars
0Forks
2Open issues
0Open PRs
0Releases
615Commits
51Commit identities
615 commits · Last activity 2025-06-13
Responsiveness
How these are sampled
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

2025-04-30 · 12026-07-07 · 1
PracticesBeta

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.

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-06-13

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing demulticoder adds 45 packages (22 with compiled code, 32 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (1)
R >= 3.0.2
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (6)
Author, Maintainer since 0.1.2 (2025), Copyright holder
Author, Copyright holder
Author
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    2025-05-05 · current release
  • R
    R 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

Cite this package

Run in R for the authors' preferred citation:

citation("demulticoder")
Sudermann, M. A., Dawson, S., Foster, Z. S. L., Grünwald, N., H. Chang, J., & Phan, H. (2025). demulticoder: Simultaneous Analysis of Multiplexed Metabarcodes (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.demulticoder

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for demulticoder version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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