:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-uniquorn' .. highlight: bash bioconductor-uniquorn ===================== .. conda:recipe:: bioconductor-uniquorn :replaces_section_title: :noindex: Identification of cancer cell lines based on their weighted mutational\/ variational fingerprint :homepage: https://bioconductor.org/packages/3.18/bioc/html/Uniquorn.html :license: Artistic-2.0 :recipe: /`bioconductor-uniquorn `_/`meta.yaml `_ :links: biotools: :biotools:`uniquorn`, doi: :doi:`10.18632/oncotarget.16110` \'Uniquorn\' enables users to identify cancer cell lines. Cancer cell line misidentification and cross\-contamination reprents a significant challenge for cancer researchers. The identification is vital and in the frame of this package based on the locations\/ loci of somatic and germline mutations\/ variations. The input format is vcf\/ vcf.gz and the files have to contain a single cancer cell line sample \(i.e. a single member\/genotype\/gt column in the vcf file\). .. conda:package:: bioconductor-uniquorn |downloads_bioconductor-uniquorn| |docker_bioconductor-uniquorn| :versions: .. raw:: html
2.22.0-02.20.0-02.18.0-02.14.0-02.12.0-02.10.0-12.10.0-02.8.0-02.6.0-0 ``2.22.0-0``,  ``2.20.0-0``,  ``2.18.0-0``,  ``2.14.0-0``,  ``2.12.0-0``,  ``2.10.0-1``,  ``2.10.0-0``,  ``2.8.0-0``,  ``2.6.0-0``,  ``2.4.0-1``,  ``2.2.0-0``,  ``2.0.0-0``,  ``1.6.0-0`` .. raw:: html
:depends bioconductor-genomicranges: ``>=1.54.0,<1.55.0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0`` :depends bioconductor-variantannotation: ``>=1.48.0,<1.49.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-data.table: :depends r-doparallel: :depends r-foreach: :depends r-r.utils: :depends r-stringr: :depends r-writexls: :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-uniquorn and update with:: mamba update bioconductor-uniquorn To create a new environment, run:: mamba create --name myenvname bioconductor-uniquorn 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-uniquorn: (see `bioconductor-uniquorn/tags`_ for valid values for ````) .. |downloads_bioconductor-uniquorn| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-uniquorn.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-uniquorn :alt: (downloads) .. |docker_bioconductor-uniquorn| image:: https://quay.io/repository/biocontainers/bioconductor-uniquorn/status :target: https://quay.io/repository/biocontainers/bioconductor-uniquorn .. _`bioconductor-uniquorn/tags`: https://quay.io/repository/biocontainers/bioconductor-uniquorn?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-uniquorn/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-uniquorn/README.html