recipe bioconductor-martini

GWAS Incorporating Networks

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/martini.html

License:

GPL-3.0-only

Recipe:

/bioconductor-martini/meta.yaml

Links:

biotools: martini, usegalaxy-eu: martini

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.

package bioconductor-martini

versions:

1.22.0-1,  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, 

1.22.0-1,  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

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:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see 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:<tag>

(see `bioconductor-martini/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an 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)