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Locus overlap analysis for enrichment of genomic ranges

Bioconductor version: Release (3.18)

Provides functions for testing overlap of sets of genomic regions with public and custom region set (genomic ranges) databases. This makes it possible to do automated enrichment analysis for genomic region sets, thus facilitating interpretation of functional genomics and epigenomics data.

Author: Nathan Sheffield <http://www.databio.org> [aut, cre], Christoph Bock [ctb]

Maintainer: Nathan Sheffield <nathan at code.databio.org>

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


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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


To view documentation for the version of this package installed in your system, start R and enter:

1. Getting Started with LOLA HTML R Script
2. Using LOLA Core HTML R Script
3. Choosing a Universe HTML R Script
Reference Manual PDF


biocViews ChIPSeq, FunctionalGenomics, GeneRegulation, GeneSetEnrichment, GenomeAnnotation, MethylSeq, Sequencing, Software, SystemsBiology
Version 1.32.0
In Bioconductor since BioC 3.2 (R-3.2) (8.5 years)
License GPL-3
Depends R (>= 3.5.0)
Imports BiocGenerics, S4Vectors, IRanges, GenomicRanges, data.table, reshape2, utils, stats, methods
System Requirements
URL http://code.databio.org/LOLA
Bug Reports http://github.com/nsheff/LOLA
See More
Suggests parallel, testthat, knitr, BiocStyle, rmarkdown
Linking To
Enhances simpleCache, qvalue, ggplot2
Depends On Me
Imports Me
Suggests Me COCOA, DeepBlueR, MAGAR, MIRA, ramr
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package LOLA_1.32.0.tar.gz
Windows Binary LOLA_1.32.0.zip
macOS Binary (x86_64) LOLA_1.32.0.tgz
macOS Binary (arm64) LOLA_1.32.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/LOLA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/LOLA
Bioc Package Browser https://code.bioconductor.org/browse/LOLA/
Package Short Url https://bioconductor.org/packages/LOLA/
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