:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'genecircuitry' .. highlight: bash genecircuitry ============= .. conda:recipe:: genecircuitry :replaces_section_title: :noindex: GeneCircuitry\: TRN analysis from single\-cell data \(Scanpy\, CellOracle\, Hotspot\) :homepage: https://github.com/samuelecancellieri/genecircuitry :documentation: https://github.com/samuelecancellieri/genecircuitry/blob/main/README.md :license: MIT / MIT :recipe: /`genecircuitry `_/`meta.yaml `_ A modular\, checkpoint\-enabled pipeline for TRN analysis from single\-cell RNA\-seq data. Integrates Scanpy for preprocessing and clustering\, CellOracle for GRN inference\, and Hotspot for embedding\-aware gene modules identification. Provides an HTML\/PDF reporting layer and a standalone \`\`genecircuitry\`\` CLI entry point. .. conda:package:: genecircuitry |downloads_genecircuitry| |docker_genecircuitry| :versions: ``0.1.4-0`` :depends adjusttext: ``>=0.7.3`` :depends anndata: ``>=0.8.0`` :depends fa2_modified: :depends genomepy: ``>=0.8.4`` :depends gimmemotifs: ``>=0.14.4`` :depends goatools: :depends gseapy: :depends h5py: ``>=3.1.0`` :depends igraph: ``>=0.10.1`` :depends joblib: :depends jupyter: :depends leidenalg: :depends louvain: :depends matplotlib-base: ``>=3.6.3`` :depends networkx: ``>=2.6.0`` :depends numba: ``>=0.50.1`` :depends numpy: ``>=1.20`` :depends pandas: ``>=1.3.0`` :depends pyarrow: ``>=0.17`` :depends python: ``>=3.9,<3.11`` :depends scanpy: ``>=1.9.0`` :depends scikit-learn: :depends scipy: :depends seaborn: :depends tqdm: ``>=4.45`` :depends umap-learn: :depends velocyto.py: ``>=0.17`` :depends weasyprint: :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 genecircuitry and update with:: mamba update genecircuitry To create a new environment, run:: mamba create --name myenvname genecircuitry 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/genecircuitry: (see `genecircuitry/tags`_ for valid values for ````) .. |downloads_genecircuitry| image:: https://img.shields.io/conda/dn/bioconda/genecircuitry.svg?style=flat :target: https://anaconda.org/bioconda/genecircuitry :alt: (downloads) .. |docker_genecircuitry| image:: https://quay.io/repository/biocontainers/genecircuitry/status :target: https://quay.io/repository/biocontainers/genecircuitry .. _`genecircuitry/tags`: https://quay.io/repository/biocontainers/genecircuitry?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/genecircuitry/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/genecircuitry/README.html