:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-rgenometracks' .. highlight: bash bioconductor-rgenometracks ========================== .. conda:recipe:: bioconductor-rgenometracks :replaces_section_title: :noindex: Integerated visualization of epigenomic data :homepage: https://bioconductor.org/packages/3.18/bioc/html/rGenomeTracks.html :license: GPL-3 :recipe: /`bioconductor-rgenometracks `_/`meta.yaml `_ rGenomeTracks package leverages the power of pyGenomeTracks software with the interactivity of R. pyGenomeTracks is a python software that offers robust method for visualizing epigenetic data files like narrowPeak\, Hic matrix\, TADs and arcs\, however though\, here is no way currently to use it within R interactive session. rGenomeTracks wrapped the whole functionality of pyGenomeTracks with additional utilites to make to more pleasant for R users. .. conda:package:: bioconductor-rgenometracks |downloads_bioconductor-rgenometracks| |docker_bioconductor-rgenometracks| :versions: ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.0-0``,  ``1.0.0-0`` :depends bioconductor-rgenometracksdata: ``>=0.99.0,<0.100.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-imager: :depends r-reticulate: :requirements: .. 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-rgenometracks and update with:: mamba update bioconductor-rgenometracks To create a new environment, run:: mamba create --name myenvname bioconductor-rgenometracks 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-rgenometracks: (see `bioconductor-rgenometracks/tags`_ for valid values for ````) .. |downloads_bioconductor-rgenometracks| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-rgenometracks.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-rgenometracks :alt: (downloads) .. |docker_bioconductor-rgenometracks| image:: https://quay.io/repository/biocontainers/bioconductor-rgenometracks/status :target: https://quay.io/repository/biocontainers/bioconductor-rgenometracks .. _`bioconductor-rgenometracks/tags`: https://quay.io/repository/biocontainers/bioconductor-rgenometracks?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-rgenometracks/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-rgenometracks/README.html