:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'hesslab-gambit' .. highlight: bash hesslab-gambit ============== .. conda:recipe:: hesslab-gambit :replaces_section_title: :noindex: IMPORTANT\: This recipe is out of date. Use \"gambit\" instead\: http\:\/\/bioconda.github.io\/recipes\/gambit\/README.html :homepage: https://github.com/jlumpe/gambit :documentation: https://gambit-genomics.readthedocs.io/en/latest :license: AGPL / AGPL-3.0-or-later :recipe: /`hesslab-gambit `_/`meta.yaml `_ GAMBIT \(Genomic Approximation Method for Bacterial Identification and Tracking\) is a tool for rapid taxonomic identification of microbial pathogens. It uses an extremely efficient genomic distance metric along with a curated database of approximately 50\,000 reference genomes \(derived from NCBI RefSeq\) to identify unknown bacterial genomes within seconds. .. conda:package:: hesslab-gambit |downloads_hesslab-gambit| |docker_hesslab-gambit| :versions: .. raw:: html
0.5.1-10.5.1-00.5.0-20.5.0-10.5.0-00.4.0-10.4.0-00.3.0-20.3.0-1 ``0.5.1-1``,  ``0.5.1-0``,  ``0.5.0-2``,  ``0.5.0-1``,  ``0.5.0-0``,  ``0.4.0-1``,  ``0.4.0-0``,  ``0.3.0-2``,  ``0.3.0-1``,  ``0.3.0-0``,  ``0.2.2-0``,  ``0.2.1-0`` .. raw:: html
:depends alembic: ``<2.0`` :depends attrs: ``>=20`` :depends biopython: ``>=1.69`` :depends cattrs: ``>=1.0`` :depends click: ``>=7.0`` :depends h5py: ``>=3.0`` :depends libgcc: ``>=13`` :depends numpy: ``<2`` :depends numpy: ``>=1.26.4,<2.0a0`` :depends pytest: :depends python: ``>=3.9,<3.10.0a0`` :depends python_abi: ``3.9.* *_cp39`` :depends setuptools: :depends sqlalchemy: ``<2.0`` :requirements: :additional platforms: .. raw:: html linux-aarch64osx-arm64 .. 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 hesslab-gambit and update with:: mamba update hesslab-gambit To create a new environment, run:: mamba create --name myenvname hesslab-gambit 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/hesslab-gambit: (see `hesslab-gambit/tags`_ for valid values for ````) .. |downloads_hesslab-gambit| image:: https://img.shields.io/conda/dn/bioconda/hesslab-gambit.svg?style=flat :target: https://anaconda.org/bioconda/hesslab-gambit :alt: (downloads) .. |docker_hesslab-gambit| image:: https://quay.io/repository/biocontainers/hesslab-gambit/status :target: https://quay.io/repository/biocontainers/hesslab-gambit .. _`hesslab-gambit/tags`: https://quay.io/repository/biocontainers/hesslab-gambit?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/hesslab-gambit/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/hesslab-gambit/README.html