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dada2

Bioc current

Accurate, high-resolution sample inference from amplicon sequencing data

v1.40.0 · Package record · software · LGPL-2

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

The dada2 package infers exact amplicon sequence variants (ASVs) from high-throughput amplicon sequencing 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, and species-level assignment to 16S rRNA gene fragments by exact matching.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

188 37 exported

Complexity

8.7 avg / 95 max

Call network

188 nodes / 208 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

13,507

Files

115

Compiled share

33.6%

Has compiled src

Yes

Language breakdown

R 5,683 (42.1%)C/C++/src 4,537 (33.6%)Docs 2,976 (22%)Vignettes 311 (2.3%)

API

Exported functions

38

Internal functions

50

Recent export changes

v3.9+3 plotComplexity, rc, removePrimers
v3.8+1 PacBioErrfun

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

100%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.4.0

System requirements

1 externalGNU make

C++ standard

C++11

License

LGPL-2

License flags

SPDX valid, OSI approved

History

Versions

21

First release

2016-05-22

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

7

LOC over versions

v3.3: 9,578 LOCv3.4: 10,993 LOCv3.5: 12,189 LOCv3.6: 13,334 LOCv3.7: 12,768 LOCv3.8: 12,956 LOCv3.9: 12,755 LOCv3.10: 12,924 LOCv3.11: 12,984 LOCv3.12: 13,152 LOCv3.13: 13,214 LOCv3.14: 13,214 LOCv3.15: 13,214 LOCv3.16: 13,247 LOCv3.17: 13,247 LOCv3.18: 13,247 LOCv3.19: 13,247 LOCv3.20: 13,247 LOCv3.21: 13,507 LOCv3.22: 13,507 LOCv3.23: 13,507 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 226 wordsVignettesYes · 1 · dynamicNEWSYes · 0% structuredCitation fileYes · cites a publicationWebsiteYes
Help pages
58 (7 internal)includes a package overview page
Examples that run
97%37 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/benjjneb/dada2 on 2026-10-22.

Continuous integration (1)
Travis CI (config file)
Docs source (1)

GitHub Pages site last deployed 2025-12-15

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
errBalancedFmatrix16 × 41No other package
errBalancedRmatrix16 × 41No other package
tperr1matrix16 × 41No other package

All of dada2's data objects

Topics

Maintainer
Benjamin Callahan

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (5)

Bioconductor (1)

Suggested by (3)

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' entry:

citation("dada2")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1038/nmeth.3869.

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 dada2 version 1.40.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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