- recipe bioconductor-drugtargetinteractions
Drug-Target Interactions
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/drugTargetInteractions.html
- License:
Artistic-2.0
- Recipe:
Provides utilities for identifying drug-target interactions for sets of small molecule or gene/protein identifiers. The required drug-target interaction information is obained from a local SQLite instance of the ChEMBL database. ChEMBL has been chosen for this purpose, because it provides one of the most comprehensive and best annotatated knowledge resources for drug-target information available in the public domain.
- package bioconductor-drugtargetinteractions¶
- versions:
1.10.1-0
,1.8.0-0
,1.6.0-0
,1.2.0-0
,1.0.0-0
- depends bioconductor-annotationfilter:
>=1.26.0,<1.27.0
- depends bioconductor-biocfilecache:
>=2.10.0,<2.11.0
- depends bioconductor-biomart:
>=2.58.0,<2.59.0
- depends bioconductor-ensembldb:
>=2.26.0,<2.27.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends bioconductor-uniprot.ws:
>=2.42.0,<2.43.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-dplyr:
- depends r-rappdirs:
- depends r-rsqlite:
- requirements:
- additional platforms:
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-drugtargetinteractions and update with:: mamba update bioconductor-drugtargetinteractions
To create a new environment, run:
mamba create --name myenvname bioconductor-drugtargetinteractions
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-drugtargetinteractions:<tag> (see `bioconductor-drugtargetinteractions/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-drugtargetinteractions/README.html)