recipe bioconductor-monalisa

Binned Motif Enrichment Analysis and Visualization

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/monaLisa.html

License:

GPL (>= 3)

Recipe:

/bioconductor-monalisa/meta.yaml

Useful functions to work with sequence motifs in the analysis of genomics data. These include methods to annotate genomic regions or sequences with predicted motif hits and to identify motifs that drive observed changes in accessibility or expression. Functions to produce informative visualizations of the obtained results are also provided.

package bioconductor-monalisa

Versions:

1.4.0-0,  1.0.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-bsgenome >=1.66.0,<1.67.0

• bioconductor-complexheatmap >=2.14.0,<2.15.0

• bioconductor-genomeinfodb >=1.34.0,<1.35.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• bioconductor-tfbstools >=1.36.0,<1.37.0

• bioconductor-xvector >=0.38.0,<0.39.0

• r-base >=4.2,<4.3.0a0

• r-circlize

• r-glmnet

• r-stabs

• r-vioplot

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-monalisa

and update with:

conda update bioconductor-monalisa

or use the docker container:

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

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