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tidyomics

Easily install and load the tidyomics ecosystem

Bioconductor version: 3.24 · Package version: 1.9.0

The tidyomics ecosystem is a set of packages for ’omic data analysis that work together in harmony; they share common data representations and API design, consistent with the tidyverse ecosystem. The tidyomics package is designed to make it easy to install and load core packages from the tidyomics ecosystem with a single command.

Installation

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

BiocManager::install("tidyomics")

Details

MaintainerStefano Mangiola <mangiolastefano@gmail.com>
AuthorStefano Mangiola [aut, cre] (ORCID: <https://orcid.org/0000-0001-7474-836X>), Michael Love [aut] (ORCID: <https://orcid.org/0000-0001-8401-0545>), William Hutchison [aut] (ORCID: <https://orcid.org/0009-0001-6242-4269>)
LicenseMIT + file LICENSE
URLhttps://github.com/tidyomics/tidyomics
Bug Reportshttps://github.com/tidyomics/tidyomics/issues
Downloads rank279
Source branchdevel
biocViewsAssayDomain, Clustering, DifferentialExpression, GeneExpression, Infrastructure, Normalization, QualityControl, RNASeq, Sequencing, Software, Transcription, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagetidyomics_1.9.0.tar.gz
Windows binary (x86_64)tidyomics_1.9.0.zip
macOS binary (arm64)tidyomics_1.9.0.tgz
macOS binary (x86_64)tidyomics_1.9.0.tgz
Dependencies

Depends: R (>= 4.2)

Imports: tidySummarizedExperiment, tidySingleCellExperiment, tidySpatialExperiment, tidyseurat, plyranges, purrr, rlang, stringr, cli

Suggests: utils, tidyr, dplyr, tibble, ggplot2, mockr (>= 0.2.0), knitr (>= 1.41), rmarkdown (>= 2.20), testthat (>= 3.1.6), nullranges, tidybulk, plyinteractions