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Identify Contaminants in Marker-gene and Metagenomics Sequencing Data

Bioconductor version: Release (3.19)

Simple statistical identification of contaminating sequence features in marker-gene or metagenomics data. Works on any kind of feature derived from environmental sequencing data (e.g. ASVs, OTUs, taxonomic groups, MAGs,...). Requires DNA quantitation data or sequenced negative control samples.

Author: Benjamin Callahan [aut, cre], Nicole Marie Davis [aut], Felix G.M. Ernst [ctb]

Maintainer: Benjamin Callahan <benjamin.j.callahan at>

Citation (from within R, enter citation("decontam")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Introduction to dada2 HTML R Script
Reference Manual PDF


biocViews Classification, ImmunoOncology, Metagenomics, Microbiome, Sequencing, Software
Version 1.24.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License Artistic-2.0
Depends R (>= 3.4.1), methods (>= 3.4.1)
Imports ggplot2 (>= 2.1.0), reshape2 (>= 1.4.1), stats
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Follow Installation instructions to use this package in your R session.

Source Package decontam_1.24.0.tar.gz
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macOS Binary (x86_64) decontam_1.24.0.tgz
macOS Binary (arm64) decontam_1.24.0.tgz
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