- recipe bioconductor-bioassayr
Cross-target analysis of small molecule bioactivity
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/bioassayR.html
- License:
Artistic-2.0
- Recipe:
bioassayR is a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of high throughput screening fingerprints (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data.
- package bioconductor-bioassayr¶
- versions:
1.44.0-0
,1.40.0-0
,1.38.0-0
,1.36.0-0
,1.32.0-0
,1.30.0-0
,1.28.2-0
,1.28.0-0
,1.26.0-0
,1.44.0-0
,1.40.0-0
,1.38.0-0
,1.36.0-0
,1.32.0-0
,1.30.0-0
,1.28.2-0
,1.28.0-0
,1.26.0-0
,1.24.0-0
,1.22.0-1
,1.20.1-0
,1.20.0-0
- depends bioconductor-biocgenerics:
>=0.52.0,<0.53.0
- depends bioconductor-chemminer:
>=3.58.0,<3.59.0
- depends r-base:
>=4.4,<4.5.0a0
- depends r-dbi:
>=0.3.1
- depends r-matrix:
- depends r-rjson:
- depends r-rsqlite:
>=1.0.0
- depends r-xml:
- 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-bioassayr and update with:: mamba update bioconductor-bioassayr
To create a new environment, run:
mamba create --name myenvname bioconductor-bioassayr
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-bioassayr:<tag> (see `bioconductor-bioassayr/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-bioassayr/README.html)