This is the released version of MicrobiomeBenchmarkData; for the devel version, see MicrobiomeBenchmarkData.

Datasets for benchmarking in microbiome research


Bioconductor version: Release (3.22)

The MicrobiomeBenchmarkData package provides functionality to access microbiome datasets suitable for benchmarking. These datasets have some biological truth, which allows to have expected results for comparison. The datasets come from various published sources and are provided as TreeSummarizedExperiment objects. Currently, only datasets suitable for benchmarking differential abundance methods are available.

Author: Samuel Gamboa [aut, cre] ORCID iD ORCID: 0000-0002-6863-7943 , Levi Waldron [aut] ORCID iD ORCID: 0000-0003-2725-0694 , Marcel Ramos [ctb]

Maintainer: Samuel Gamboa <Samuel.Gamboa.Tuz at gmail.com>

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

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MicrobiomeBenchmarkData")

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

Documentation

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

browseVignettes("MicrobiomeBenchmarkData")

Details

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Suggests rmarkdown, knitr, BiocStyle, testthat (>= 3.0.0), mia, ggplot2, tidyr, dplyr, magrittr, tibble, purrr
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Follow Installation instructions to use this package in your R session.