:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-tidycoverage' .. highlight: bash bioconductor-tidycoverage ========================= .. conda:recipe:: bioconductor-tidycoverage :replaces_section_title: :noindex: Extract and aggregate genomic coverage over features of interest :homepage: https://bioconductor.org/packages/3.20/bioc/html/tidyCoverage.html :license: MIT + file LICENSE :recipe: /`bioconductor-tidycoverage `_/`meta.yaml `_ \`tidyCoverage\` framework enables tidy manipulation of collections of genomic tracks and features using \`tidySummarizedExperiment\` methods. It facilitates the extraction\, aggregation and visualization of genomic coverage over individual or thousands of genomic loci\, relying on \`CoverageExperiment\` and \`AggregatedCoverage\` classes. This accelerates the integration of genomic track data in genomic analysis workflows. .. conda:package:: bioconductor-tidycoverage |downloads_bioconductor-tidycoverage| |docker_bioconductor-tidycoverage| :versions: ``1.2.0-0`` :depends bioconductor-biocio: ``>=1.16.0,<1.17.0`` :depends bioconductor-biocparallel: ``>=1.40.0,<1.41.0`` :depends bioconductor-genomeinfodb: ``>=1.42.0,<1.43.0`` :depends bioconductor-genomicranges: ``>=1.58.0,<1.59.0`` :depends bioconductor-iranges: ``>=2.40.0,<2.41.0`` :depends bioconductor-rtracklayer: ``>=1.66.0,<1.67.0`` :depends bioconductor-s4vectors: ``>=0.44.0,<0.45.0`` :depends bioconductor-summarizedexperiment: ``>=1.36.0,<1.37.0`` :depends r-base: ``>=4.4,<4.5.0a0`` :depends r-cli: :depends r-dplyr: :depends r-fansi: :depends r-ggplot2: :depends r-pillar: :depends r-purrr: :depends r-rlang: :depends r-scales: :depends r-tidyr: :depends r-vctrs: :requirements: :additional platforms: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`set-up-channels`). While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see `here `_ for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others. Given that you already have a conda environment in which you want to have this package, install with:: mamba install bioconductor-tidycoverage and update with:: mamba update bioconductor-tidycoverage To create a new environment, run:: mamba create --name myenvname bioconductor-tidycoverage with ``myenvname`` being a reasonable name for the environment (see e.g. the `mamba docs `_ for details and further options). Alternatively, use the docker container:: docker pull quay.io/biocontainers/bioconductor-tidycoverage: (see `bioconductor-tidycoverage/tags`_ for valid values for ````) .. |downloads_bioconductor-tidycoverage| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-tidycoverage.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-tidycoverage :alt: (downloads) .. |docker_bioconductor-tidycoverage| image:: https://quay.io/repository/biocontainers/bioconductor-tidycoverage/status :target: https://quay.io/repository/biocontainers/bioconductor-tidycoverage .. _`bioconductor-tidycoverage/tags`: https://quay.io/repository/biocontainers/bioconductor-tidycoverage?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| badge with the following MarkDown:: [![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-tidycoverage/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/bioconductor-tidycoverage/README.html