:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-martini' .. highlight: bash bioconductor-martini ==================== .. conda:recipe:: bioconductor-martini :replaces_section_title: :noindex: GWAS Incorporating Networks :homepage: https://bioconductor.org/packages/3.18/bioc/html/martini.html :license: GPL-3 :recipe: /`bioconductor-martini `_/`meta.yaml `_ martini deals with the low power inherent to GWAS studies by using prior knowledge represented as a network. SNPs are the vertices of the network\, and the edges represent biological relationships between them \(genomic adjacency\, belonging to the same gene\, physical interaction between protein products\). The network is scanned using SConES\, which looks for groups of SNPs maximally associated with the phenotype\, that form a close subnetwork. .. conda:package:: bioconductor-martini |downloads_bioconductor-martini| |docker_bioconductor-martini| :versions: .. raw:: html
1.22.0-01.20.0-01.18.0-11.18.0-01.14.0-21.14.0-11.14.0-01.12.0-01.10.0-1 ``1.22.0-0``,  ``1.20.0-0``,  ``1.18.0-1``,  ``1.18.0-0``,  ``1.14.0-2``,  ``1.14.0-1``,  ``1.14.0-0``,  ``1.12.0-0``,  ``1.10.0-1``,  ``1.10.0-0``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.0-1``,  ``1.2.0-0`` .. raw:: html
:depends bioconductor-snpstats: ``>=1.52.0,<1.53.0`` :depends bioconductor-snpstats: ``>=1.52.0,<1.53.0a0`` :depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc-ng: ``>=12`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends libstdcxx-ng: ``>=12`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-igraph: ``>=1.0.1`` :depends r-matrix: :depends r-memoise: ``>=2.0.0`` :depends r-rcpp: ``>=0.12.8`` :depends r-rcppeigen: ``>=0.3.3.5.0`` :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-martini and update with:: mamba update bioconductor-martini To create a new environment, run:: mamba create --name myenvname bioconductor-martini 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-martini: (see `bioconductor-martini/tags`_ for valid values for ````) .. |downloads_bioconductor-martini| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-martini.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-martini :alt: (downloads) .. |docker_bioconductor-martini| image:: https://quay.io/repository/biocontainers/bioconductor-martini/status :target: https://quay.io/repository/biocontainers/bioconductor-martini .. _`bioconductor-martini/tags`: https://quay.io/repository/biocontainers/bioconductor-martini?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-martini/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-martini/README.html