:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-velociraptor' .. highlight: bash bioconductor-velociraptor ========================= .. conda:recipe:: bioconductor-velociraptor :replaces_section_title: :noindex: Toolkit for Single\-Cell Velocity :homepage: https://bioconductor.org/packages/3.18/bioc/html/velociraptor.html :license: MIT + file LICENSE :recipe: /`bioconductor-velociraptor `_/`meta.yaml `_ This package provides Bioconductor\-friendly wrappers for RNA velocity calculations in single\-cell RNA\-seq data. We use the basilisk package to manage Conda environments\, and the zellkonverter package to convert data structures between SingleCellExperiment \(R\) and AnnData \(Python\). The information produced by the velocity methods is stored in the various components of the SingleCellExperiment class. .. conda:package:: bioconductor-velociraptor |downloads_bioconductor-velociraptor| |docker_bioconductor-velociraptor| :versions: ``1.12.0-0``,  ``1.10.0-0``,  ``1.8.0-0``,  ``1.4.0-0``,  ``1.2.0-0``,  ``1.0.0-1``,  ``1.0.0-0`` :depends bioconductor-basilisk: ``>=1.14.0,<1.15.0`` :depends bioconductor-biocgenerics: ``>=0.48.0,<0.49.0`` :depends bioconductor-biocparallel: ``>=1.36.0,<1.37.0`` :depends bioconductor-biocsingular: ``>=1.18.0,<1.19.0`` :depends bioconductor-delayedarray: ``>=0.28.0,<0.29.0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-scuttle: ``>=1.12.0,<1.13.0`` :depends bioconductor-singlecellexperiment: ``>=1.24.0,<1.25.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends bioconductor-zellkonverter: ``>=1.12.0,<1.13.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-matrix: :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-velociraptor and update with:: mamba update bioconductor-velociraptor To create a new environment, run:: mamba create --name myenvname bioconductor-velociraptor 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-velociraptor: (see `bioconductor-velociraptor/tags`_ for valid values for ````) .. |downloads_bioconductor-velociraptor| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-velociraptor.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-velociraptor :alt: (downloads) .. |docker_bioconductor-velociraptor| image:: https://quay.io/repository/biocontainers/bioconductor-velociraptor/status :target: https://quay.io/repository/biocontainers/bioconductor-velociraptor .. _`bioconductor-velociraptor/tags`: https://quay.io/repository/biocontainers/bioconductor-velociraptor?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-velociraptor/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-velociraptor/README.html