tidyomics

Easily install and load the tidyomics ecosystem

Bioconductor version: 3.23 · Package version: 1.8.0

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

Maintainer	Stefano Mangiola <mangiolastefano@gmail.com>
Author	Stefano 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>)
License	MIT + file LICENSE
URL	https://github.com/tidyomics/tidyomics
Bug Reports	https://github.com/tidyomics/tidyomics/issues
Downloads rank	179
Source branch	RELEASE_3_23
biocViews	AssayDomain, Clustering, DifferentialExpression, GeneExpression, Infrastructure, Normalization, QualityControl, RNASeq, Sequencing, Software, Transcription, Transcriptomics

Documentation

Loading the tidyomics ecosystem

Download

Source package

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