recipe bioconductor-benchdamic

Benchmark of differential abundance methods on microbiome data






Starting from a microbiome dataset (16S or WMS with absolute count values) it is possible to perform several analysis to assess the performances of many differential abundance detection methods. A basic and standardized version of the main differential abundance analysis methods is supplied but the user can also add his method to the benchmark. The analyses focus on 4 main aspects: i) the goodness of fit of each method's distributional assumptions on the observed count data, ii) the ability to control the false discovery rate, iii) the within and between method concordances, iv) the truthfulness of the findings if any apriori knowledge is given. Several graphical functions are available for result visualization.

package bioconductor-benchdamic

(downloads) docker_bioconductor-benchdamic



Required By


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-benchdamic

and update with:

conda update bioconductor-benchdamic

or use the docker container:

docker pull<tag>

(see bioconductor-benchdamic/tags for valid values for <tag>)

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