:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-clustirr' .. highlight: bash bioconductor-clustirr ===================== .. conda:recipe:: bioconductor-clustirr :replaces_section_title: :noindex: Clustering of immune receptor repertoires :homepage: https://bioconductor.org/packages/3.20/bioc/html/ClustIRR.html :license: GPL-3 + file LICENSE :recipe: /`bioconductor-clustirr `_/`meta.yaml `_ ClustIRR analyzes repertoires of B\- and T\-cell receptors. It starts by identifying communities of immune receptors with similar specificities\, based on the sequences of their complementarity\-determining regions \(CDRs\). Next\, it employs a Bayesian probabilistic models to quantify differential community occupancy \(DCO\) between repertoires\, allowing the identification of expanding or contracting communities in response to e.g. infection or cancer treatment. .. conda:package:: bioconductor-clustirr |downloads_bioconductor-clustirr| |docker_bioconductor-clustirr| :versions: ``1.4.0-0``,  ``1.0.0-0`` :depends bioconductor-pwalign: ``>=1.2.0,<1.3.0`` :depends bioconductor-pwalign: ``>=1.2.0,<1.3.0a0`` :depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc: ``>=13`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends libstdcxx: ``>=13`` :depends r-base: ``>=4.4,<4.5.0a0`` :depends r-bh: ``>=1.66.0`` :depends r-blaster: :depends r-future: :depends r-future.apply: :depends r-igraph: :depends r-rcpp: ``>=0.12.0`` :depends r-rcppeigen: ``>=0.3.3.3.0`` :depends r-rcppparallel: ``>=5.0.1`` :depends r-reshape2: :depends r-rstan: ``>=2.18.1`` :depends r-rstantools: ``>=2.4.0`` :depends r-stanheaders: ``>=2.18.0`` :depends r-stringdist: :depends r-visnetwork: :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-clustirr and update with:: mamba update bioconductor-clustirr To create a new environment, run:: mamba create --name myenvname bioconductor-clustirr 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-clustirr: (see `bioconductor-clustirr/tags`_ for valid values for ````) .. |downloads_bioconductor-clustirr| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-clustirr.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-clustirr :alt: (downloads) .. |docker_bioconductor-clustirr| image:: https://quay.io/repository/biocontainers/bioconductor-clustirr/status :target: https://quay.io/repository/biocontainers/bioconductor-clustirr .. _`bioconductor-clustirr/tags`: https://quay.io/repository/biocontainers/bioconductor-clustirr?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-clustirr/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-clustirr/README.html