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MicrobiomeBenchmarkData

Datasets for benchmarking in microbiome research

Bioconductor version: 3.23 · Package version: 1.14.0

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.

Installation

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

BiocManager::install("MicrobiomeBenchmarkData")

Details

MaintainerSamuel Gamboa <Samuel.Gamboa.Tuz@gmail.com>
AuthorSamuel Gamboa [aut, cre] (ORCID: <https://orcid.org/0000-0002-6863-7943>), Levi Waldron [aut] (ORCID: <https://orcid.org/0000-0003-2725-0694>), Marcel Ramos [ctb]
LicenseArtistic-2.0
URLhttps://github.com/waldronlab/MicrobiomeBenchmarkData, http://waldronlab.io/MicrobiomeBenchmarkData/
Bug Reportshttps://github.com/waldronlab/MicrobiomeBenchmarkData/issues
Downloads rank101
Source branchRELEASE_3_23
biocViewsExperimentData, MicrobiomeData, ReproducibleResearch, SequencingData

Download

Dependencies

Depends: R (>= 4.2), SummarizedExperiment, TreeSummarizedExperiment

Imports: BiocFileCache, tools, S4Vectors, ape, utils

Suggests: rmarkdown, knitr, BiocStyle, testthat (>= 3.0.0), mia, ggplot2, tidyr, dplyr, magrittr, tibble, purrr

Reverse dependencies

Suggests Me (1): bugphyzz