Bioconductor 3.22 Released

monaLisa

This is the development version of monaLisa; for the stable release version, see monaLisa.

Binned Motif Enrichment Analysis and Visualization


Bioconductor version: Development (3.23)

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.

Author: Dania Machlab [aut] ORCID iD ORCID: 0000-0002-2578-6930 , Lukas Burger [aut] ORCID iD ORCID: 0000-0001-5596-7567 , Charlotte Soneson [aut] ORCID iD ORCID: 0000-0003-3833-2169 , Dany Mukesha [ctb] ORCID iD ORCID: 0009-0001-9514-751X , Michael Stadler [aut, cre] ORCID iD ORCID: 0000-0002-2269-4934

Maintainer: Michael Stadler <michael.stadler at fmi.ch>

Citation (from within R, enter citation("monaLisa")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("monaLisa")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Epigenetics, FeatureExtraction, MotifAnnotation, Software, Visualization
Version 1.17.0
In Bioconductor since BioC 3.14 (R-4.1) (4 years)
License GPL (>= 3)
Depends R (>= 4.1)
Imports BiocGenerics, BiocParallel, Biostrings, BSgenome, circlize, ComplexHeatmap(>= 2.11.1), Seqinfo, GenomicRanges, cli, ggplot2 (>= 4.0.0), glmnet, grDevices, grid, IRanges, methods, rlang, RSQLite, stabs, stats, SummarizedExperiment, S4Vectors, TFBSTools, tidyr, tools, utils, XVector
System Requirements
URL https://github.com/fmicompbio/monaLisa https://bioconductor.org/packages/monaLisa/ https://fmicompbio.github.io/monaLisa/
Bug Reports https://github.com/fmicompbio/monaLisa/issues
See More
Suggests BiocManager, BiocStyle, BSgenome.Mmusculus.UCSC.mm10, ggrepel, gridExtra, JASPAR2020, JASPAR2024, knitr, rmarkdown, testthat, TxDb.Mmusculus.UCSC.mm10.knownGene
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/monaLisa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/monaLisa
Package Short Url https://bioconductor.org/packages/monaLisa/
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