recipe bioconductor-fmcsr

Mismatch Tolerant Maximum Common Substructure Searching

Homepage

https://bioconductor.org/packages/3.14/bioc/html/fmcsR.html

License

Artistic-2.0

Recipe

/bioconductor-fmcsr/meta.yaml

The fmcsR package introduces an efficient maximum common substructure (MCS) algorithms combined with a novel matching strategy that allows for atom and/or bond mismatches in the substructures shared among two small molecules. The resulting flexible MCSs (FMCSs) are often larger than strict MCSs, resulting in the identification of more common features in their source structures, as well as a higher sensitivity in finding compounds with weak structural similarities. The fmcsR package provides several utilities to use the FMCS algorithm for pairwise compound comparisons, structure similarity searching and clustering.

package bioconductor-fmcsr

Versions

1.36.0-0,  1.34.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.24.0-0

Depends

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-chemminer >=3.46.0,<3.47.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=9.4.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=9.4.0

• r-base >=4.1,<4.2.0a0

• r-runit

Required By

• bioconductor-rcpi

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-fmcsr

and update with:

conda update bioconductor-fmcsr

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-fmcsr:<tag>

(see bioconductor-fmcsr/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-fmcsr/README.html)