recipe bioconductor-motifbreakr

We introduce motifbreakR, which allows the biologist to judge in the first place whether the sequence surrounding the polymorphism is a good match, and in the second place how much information is gained or lost in one allele of the polymorphism relative to another. MotifbreakR is both flexible and extensible over previous offerings; giving a choice of algorithms for interrogation of genomes with motifs from public sources that users can choose from; these are 1) a weighted-sum probability matrix, 2) log-probabilities, and 3) weighted by relative entropy. MotifbreakR can predict effects for novel or previously described variants in public databases, making it suitable for tasks beyond the scope of its original design. Lastly, it can be used to interrogate any genome curated within Bioconductor (currently there are 22).







biotools: motifbreakr

package bioconductor-motifbreakr

(downloads) docker_bioconductor-motifbreakr


1.12.0-0, 1.10.0-0, 1.8.0-0, 1.6.0-0, 1.4.0-0

Depends bioconductor-biocgenerics


Depends bioconductor-biocparallel


Depends bioconductor-biostrings


Depends bioconductor-bsgenome


Depends bioconductor-genomeinfodb


Depends bioconductor-genomicranges


Depends bioconductor-gviz


Depends bioconductor-iranges


Depends bioconductor-motifdb


Depends bioconductor-motifstack


Depends bioconductor-rtracklayer


Depends bioconductor-s4vectors


Depends bioconductor-variantannotation


Depends r-base


Depends r-grimport

Depends r-matrixstats

Depends r-stringr

Depends r-tfmpvalue



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

conda install bioconductor-motifbreakr

and update with:

conda update bioconductor-motifbreakr

or use the docker container:

docker pull<tag>

(see bioconductor-motifbreakr/tags for valid values for <tag>)