recipe bioconductor-mpo.db

A set of annotation maps describing the Mouse Phenotype Ontology

Homepage:

https://bioconductor.org/packages/3.18/data/annotation/html/MPO.db.html

License:

Artistic-2.0

Recipe:

/bioconductor-mpo.db/meta.yaml

We have developed the human disease ontology R package HDO.db, which provides the semantic relationship between human diseases. Relying on the DOSE and GOSemSim packages we developed, we can carry out disease enrichment and semantic similarity analyses. Many biological studies are achieved through mouse models, and a large number of data indicate the association between genotypes and phenotypes or diseases. The study of model organisms can be transformed into useful knowledge about normal human biology and disease to facilitate treatment and early screening for diseases. Organism-specific genotype-phenotypic associations can be applied to cross-species phenotypic studies to clarify previously unknown phenotypic connections in other species. Using the same principle to diseases can identify genetic associations and even help to identify disease associations that are not obvious. Therefore, as a supplement to HDO.db and DOSE, we developed mouse phenotypic ontology R package MPO.db.

package bioconductor-mpo.db

(downloads) docker_bioconductor-mpo.db

versions:

0.99.7-0

depends bioconductor-annotationdbi:

>=1.64.0,<1.65.0

depends bioconductor-annotationhub:

>=3.10.0,<3.11.0

depends bioconductor-biocfilecache:

>=2.10.0,<2.11.0

depends bioconductor-data-packages:

>=20231203

depends curl:

depends r-base:

>=4.3,<4.4.0a0

depends r-dbi:

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-mpo.db

and update with::

   mamba update bioconductor-mpo.db

To create a new environment, run:

mamba create --name myenvname bioconductor-mpo.db

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-mpo.db:<tag>

(see `bioconductor-mpo.db/tags`_ for valid values for ``<tag>``)

Download stats

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-mpo.db/README.html)