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Easily install and load the tidyomics ecosystem

Bioconductor version: Release (3.19)

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.

Author: Stefano Mangiola [aut, cre] , Michael Love [aut] , William Hutchison [aut]

Maintainer: Stefano Mangiola <mangiolastefano at>

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


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:

Loading the tidyomics ecosystem HTML R Script
Reference Manual PDF


biocViews AssayDomain, Clustering, DifferentialExpression, GeneExpression, Infrastructure, Normalization, QualityControl, RNASeq, Sequencing, Software, Transcription, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.19 (R-4.4) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.2)
Imports tidySummarizedExperiment, tidySingleCellExperiment, tidyseurat, tidybulk, plyranges, nullranges, purrr, rlang, stringr, cli, utils
System Requirements
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Suggests tidyr, dplyr, tibble, ggplot2, mockr (>= 0.2.0), knitr (>= 1.41), rmarkdown (>= 2.20), testthat (>= 3.1.6)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package tidyomics_1.0.0.tar.gz
Windows Binary
macOS Binary (x86_64) tidyomics_1.0.0.tgz
macOS Binary (arm64) tidyomics_1.0.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats
Old Source Packages for BioC 3.19 Source Archive