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Bioconductor - regioneReloaded (development version)

regioneReloaded

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

RegioneReloaded: Multiple Association for Genomic Region Sets

Bioconductor version: Development (3.22)

RegioneReloaded is a package that allows simultaneous analysis of associations between genomic region sets, enabling clustering of data and the creation of ready-to-publish graphs. It takes over and expands on all the features of its predecessor regioneR. It also incorporates a strategy to improve p-value calculations and normalize z-scores coming from multiple analysis to allow for their direct comparison. RegioneReloaded builds upon regioneR by adding new plotting functions for obtaining publication-ready graphs.

Author: Roberto Malinverni [aut, cre] ORCID: 0000-0002-0113-3417 , David Corujo [aut], Bernat Gel [aut]

Maintainer: Roberto Malinverni <roberto.malinverni at gmail.com>

Citation (from within R, enter citation("regioneReloaded")): Installation

To install this package, start R (version "4.5") and enter:


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

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

BiocManager::install("regioneReloaded")

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

Documentation

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

browseVignettes("regioneReloaded")
Details biocViews ChIPSeq, Clustering, CopyNumberVariation, DNASeq, Genetics, MethylSeq, MultipleComparison, Software Version 1.11.0 In Bioconductor since BioC 3.16 (R-4.2) (2.5 years) License Artistic-2.0 Depends R (>= 4.2), regioneR Imports stats, RColorBrewer, Rtsne, umap, ggplot2, ggrepel, reshape2, methods, scales, cluster, grid, grDevices System Requirements URL https://github.com/RMalinverni/regioneReload See More Package Archives

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


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