:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'r-tsenat' .. highlight: bash r-tsenat ======== .. conda:recipe:: r-tsenat :replaces_section_title: :noindex: Tsallis Entropy Analysis Toolbox for transcriptome complexity analysis :homepage: https://github.com/gallardoalba/TSENAT :documentation: https://gallardoalba.github.io/TSENAT :license: GPL-3.0-or-later :recipe: /`r-tsenat `_/`meta.yaml `_ Quantifies and models isoform\-usage complexity in RNA\-seq data using Tsallis entropy\, a scale\-dependent diversity measure. TSENAT computes q\-dependent transcriptome diversity and divergence\, compares measures between conditions\, and provides visualization routines for scale\-dependent complexity analysis. .. conda:package:: r-tsenat |downloads_r-tsenat| |docker_r-tsenat| :versions: ``0.99.0-1``,  ``0.99.0-0`` :depends on __glibc: ``>=2.17,<3.0.a0`` :depends on bioconductor-biocparallel: ``>=1.44.0,<1.45.0a0`` :depends on bioconductor-s4vectors: ``>=0.48.0,<0.49.0a0`` :depends on bioconductor-summarizedexperiment: ``>=1.40.0,<1.41.0a0`` :depends on libgcc: ``>=14`` :depends on libstdcxx: ``>=14`` :depends on r-base: ``>=4.5,<4.6.0a0`` :depends on r-cowplot: :depends on r-digest: :depends on r-dplyr: :depends on r-fdrtool: :depends on r-gamsel: :depends on r-geepack: :depends on r-ggplot2: :depends on r-glmmtmb: :depends on r-glmnet: :depends on r-gridextra: :depends on r-matrixstats: :depends on r-memoise: :depends on r-mgcv: :depends on r-nlme: :depends on r-patchwork: :depends on r-pheatmap: :depends on r-rcolorbrewer: :depends on r-rcpp: :depends on r-rcpparmadillo: :depends on r-readr: :depends on r-rlang: :depends on r-tidyr: :depends on r-withr: :additional platforms: Installation ------------ You need a conda-compatible package manager (currently either `pixi `__, `conda `__, or `micromamba `__) and the Bioconda channel already activated (see :ref:`bioconda_setup`). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda). Pixi """" With pixi_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`), to install globally, run:: pixi global install r-tsenat to add into an existing workspace instead, run:: pixi add r-tsenat In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:: pixi workspace channel add conda-forge pixi workspace channel add bioconda Conda """"" With conda_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`), to install into an existing and activated environment, run:: conda install r-tsenat Alternatively, to install into a new environment, run:: conda create -n envname r-tsenat with ``envname`` being the name of the desired environment. Container """"""""" Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:: docker pull quay.io/biocontainers/r-tsenat: (see `r-tsenat/tags`_ for valid values for ````). Integrated deployment """"""""""""""""""""" Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration. .. _conda: https://conda.io .. _pixi: https://pixi.sh .. |downloads_r-tsenat| image:: https://img.shields.io/conda/dn/bioconda/r-tsenat.svg?style=flat :target: https://anaconda.org/bioconda/r-tsenat :alt: (downloads) .. |docker_r-tsenat| image:: https://quay.io/repository/biocontainers/r-tsenat/status :target: https://quay.io/repository/biocontainers/r-tsenat .. _`r-tsenat/tags`: https://quay.io/repository/biocontainers/r-tsenat?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/r-tsenat/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/r-tsenat/README.html