:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'pegasuspy' .. highlight: bash pegasuspy ========= .. conda:recipe:: pegasuspy :replaces_section_title: :noindex: An efficient Python analysis tool which scales to transcriptomes of millions of single cells. :homepage: https://github.com/lilab-bcb/pegasus :documentation: https://pegasus.readthedocs.io :license: BSD / BSD-3-Clause :recipe: /`pegasuspy `_/`meta.yaml `_ :links: doi: :doi:`10.1038/s41592-020-0905-x` Pegasus is a tool for analyzing transcriptomes of millions of single cells. It is a command line tool\, a python package and a base for Cloud\-based analysis workflows. .. conda:package:: pegasuspy |downloads_pegasuspy| |docker_pegasuspy| :versions: .. raw:: html
1.9.1.post1-01.9.0-01.8.1-01.7.1-21.7.1-11.7.1-01.6.0-01.5.0-01.2.0-1 ``1.9.1.post1-0``,  ``1.9.0-0``,  ``1.8.1-0``,  ``1.7.1-2``,  ``1.7.1-1``,  ``1.7.1-0``,  ``1.6.0-0``,  ``1.5.0-0``,  ``1.2.0-1``,  ``1.2.0-0`` .. raw:: html
:depends adjusttext: :depends anndata: ``>=0.7.1`` :depends demuxem: :depends docopt: :depends forceatlas2-python: :depends harmony-pytorch: :depends hnswlib: :depends joblib: ``>=0.14`` :depends leidenalg: ``>=0.8.0`` :depends libgcc-ng: ``>=12`` :depends lightgbm: ``>=2.2.1`` :depends loompy: ``>=3`` :depends louvain: ``>=0.7.0`` :depends matplotlib-base: ``>=2.0.0`` :depends natsort: :depends numba: :depends numpy: :depends pandas: ``>=1.2.0`` :depends pegasusio: ``>=0.9.0`` :depends psutil: :depends pybind11: :depends pyfit-sne: ``>=1.1.1`` :depends python: ``>=3.10,<3.11.0a0`` :depends python-igraph: ``>=0.8.0`` :depends python_abi: ``3.10.* *_cp310`` :depends scikit-learn: ``>=0.23.2`` :depends scikit-misc: :depends scipy: ``>=1.7`` :depends seaborn: ``>=0.13.0`` :depends statsmodels: :depends tbb: :depends threadpoolctl: :depends umap-learn: ``>=0.5.2`` :depends wordcloud: :depends xlsxwriter: :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 pegasuspy and update with:: mamba update pegasuspy To create a new environment, run:: mamba create --name myenvname pegasuspy 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/pegasuspy: (see `pegasuspy/tags`_ for valid values for ````) .. |downloads_pegasuspy| image:: https://img.shields.io/conda/dn/bioconda/pegasuspy.svg?style=flat :target: https://anaconda.org/bioconda/pegasuspy :alt: (downloads) .. |docker_pegasuspy| image:: https://quay.io/repository/biocontainers/pegasuspy/status :target: https://quay.io/repository/biocontainers/pegasuspy .. _`pegasuspy/tags`: https://quay.io/repository/biocontainers/pegasuspy?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/pegasuspy/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/pegasuspy/README.html