:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'r-conos' .. highlight: bash r-conos ======= .. conda:recipe:: r-conos :replaces_section_title: :noindex: Wires together large collections of single\-cell RNA\-seq datasets\, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi\-sample or atlas\-scale collections. \'Conos\' focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance\, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls\, which perhaps includes samples of a related tissue such as lymph nodes. This package interacts with data available through the \'conosPanel\' package\, which is available in a \'drat\' repository. To access this data package\, see the instructions at \. The size of the \'conosPanel\' package is approximately 12 MB. :homepage: https://github.com/kharchenkolab/conos :license: GPL3 / GPL-3.0-only :recipe: /`r-conos `_/`meta.yaml `_ .. conda:package:: r-conos |downloads_r-conos| |docker_r-conos| :versions: .. raw:: html
1.5.2-01.5.1-01.5.0-31.5.0-21.5.0-11.5.0-01.4.9-01.4.8-01.4.7-0 ``1.5.2-0``,  ``1.5.1-0``,  ``1.5.0-3``,  ``1.5.0-2``,  ``1.5.0-1``,  ``1.5.0-0``,  ``1.4.9-0``,  ``1.4.8-0``,  ``1.4.7-0``,  ``1.4.6-0`` .. raw:: html
:depends bioconductor-complexheatmap: ``>=2.18.0,<2.19.0a0`` :depends libgcc-ng: ``>=12`` :depends libstdcxx-ng: ``>=12`` :depends r-abind: :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-cowplot: :depends r-dendextend: :depends r-dplyr: :depends r-ggplot2: :depends r-ggrepel: :depends r-gridextra: :depends r-igraph: :depends r-irlba: :depends r-leidenalg: :depends r-magrittr: :depends r-matrix: :depends r-n2r: :depends r-r6: :depends r-rcpp: :depends r-rcpparmadillo: :depends r-rcppeigen: :depends r-rcppprogress: :depends r-reshape2: :depends r-rlang: :depends r-rtsne: :depends r-sccore: ``>=1.0.0`` :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 r-conos and update with:: mamba update r-conos To create a new environment, run:: mamba create --name myenvname r-conos 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/r-conos: (see `r-conos/tags`_ for valid values for ````) .. |downloads_r-conos| image:: https://img.shields.io/conda/dn/bioconda/r-conos.svg?style=flat :target: https://anaconda.org/bioconda/r-conos :alt: (downloads) .. |docker_r-conos| image:: https://quay.io/repository/biocontainers/r-conos/status :target: https://quay.io/repository/biocontainers/r-conos .. _`r-conos/tags`: https://quay.io/repository/biocontainers/r-conos?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-conos/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-conos/README.html