:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-yarn' .. highlight: bash bioconductor-yarn ================= .. conda:recipe:: bioconductor-yarn :replaces_section_title: :noindex: YARN\: Robust Multi\-Condition RNA\-Seq Preprocessing and Normalization :homepage: https://bioconductor.org/packages/3.20/bioc/html/yarn.html :license: Artistic-2.0 :recipe: /`bioconductor-yarn `_/`meta.yaml `_ :links: biotools: :biotools:`yarn`, doi: :doi:`10.1101/086587` Expedite large RNA\-Seq analyses using a combination of previously developed tools. YARN is meant to make it easier for the user in performing basic mis\-annotation quality control\, filtering\, and condition\-aware normalization. YARN leverages many Bioconductor tools and statistical techniques to account for the large heterogeneity and sparsity found in very large RNA\-seq experiments. .. conda:package:: bioconductor-yarn |downloads_bioconductor-yarn| |docker_bioconductor-yarn| :versions: .. raw:: html
1.32.0-01.28.0-01.26.0-01.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-0 ``1.32.0-0``,  ``1.28.0-0``,  ``1.26.0-0``,  ``1.24.0-0``,  ``1.20.0-0``,  ``1.18.0-0``,  ``1.16.0-1``,  ``1.16.0-0``,  ``1.14.0-0``,  ``1.12.0-0``,  ``1.10.0-1``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.0-0`` .. raw:: html
:depends bioconductor-biobase: ``>=2.66.0,<2.67.0`` :depends bioconductor-biomart: ``>=2.62.0,<2.63.0`` :depends bioconductor-edger: ``>=4.4.0,<4.5.0`` :depends bioconductor-limma: ``>=3.62.0,<3.63.0`` :depends bioconductor-preprocesscore: ``>=1.68.0,<1.69.0`` :depends bioconductor-quantro: ``>=1.40.0,<1.41.0`` :depends r-base: ``>=4.4,<4.5.0a0`` :depends r-downloader: :depends r-gplots: :depends r-matrixstats: :depends r-rcolorbrewer: :depends r-readr: :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-yarn and update with:: mamba update bioconductor-yarn To create a new environment, run:: mamba create --name myenvname bioconductor-yarn 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-yarn: (see `bioconductor-yarn/tags`_ for valid values for ````) .. |downloads_bioconductor-yarn| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-yarn.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-yarn :alt: (downloads) .. |docker_bioconductor-yarn| image:: https://quay.io/repository/biocontainers/bioconductor-yarn/status :target: https://quay.io/repository/biocontainers/bioconductor-yarn .. _`bioconductor-yarn/tags`: https://quay.io/repository/biocontainers/bioconductor-yarn?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-yarn/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-yarn/README.html