:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'alphagenome' .. highlight: bash alphagenome =========== .. conda:recipe:: alphagenome :replaces_section_title: :noindex: Python SDK for interacting with and visualizing AlphaGenome genomic models :homepage: https://github.com/google-deepmind/alphagenome :documentation: https://www.alphagenomedocs.com/ :license: APACHE / Apache-2.0 :recipe: /`alphagenome `_/`meta.yaml `_ AlphaGenome is a unified DNA sequence model from Google DeepMind for regulatory variant\-effect prediction. This package provides the Python SDK for interacting with the AlphaGenome API and visualizing predictions across gene expression\, splicing\, chromatin features\, and contact maps. .. conda:package:: alphagenome |downloads_alphagenome| |docker_alphagenome| :versions: ``0.6.0-0``,  ``0.5.1-0`` :depends absl-py: :depends anndata: :depends grpcio: ``>=1.67.1`` :depends immutabledict: :depends intervaltree: :depends jaxtyping: :depends matplotlib-base: :depends ml_dtypes: :depends numpy: :depends pandas: :depends protobuf: ``>=5.28.3`` :depends pyarrow: :depends python: ``>=3.10`` :depends scipy: :depends seaborn: :depends tqdm: :depends typeguard: :depends typing-extensions: :depends zstandard: :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 alphagenome and update with:: mamba update alphagenome To create a new environment, run:: mamba create --name myenvname alphagenome 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/alphagenome: (see `alphagenome/tags`_ for valid values for ````) .. |downloads_alphagenome| image:: https://img.shields.io/conda/dn/bioconda/alphagenome.svg?style=flat :target: https://anaconda.org/bioconda/alphagenome :alt: (downloads) .. |docker_alphagenome| image:: https://quay.io/repository/biocontainers/alphagenome/status :target: https://quay.io/repository/biocontainers/alphagenome .. _`alphagenome/tags`: https://quay.io/repository/biocontainers/alphagenome?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/alphagenome/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/alphagenome/README.html