RJMCMCNucleosomes

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

Bayesian hierarchical model for genome-wide nucleosome positioning with high-throughput short-read data (MNase-Seq)


Bioconductor version: Development (3.21)

This package does nucleosome positioning using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling.

Author: Pascal Belleau [aut], Rawane Samb [aut], Astrid DeschĂȘnes [cre, aut], Khader Khadraoui [aut], Lajmi Lakhal-Chaieb [aut], Arnaud Droit [aut]

Maintainer: Astrid DeschĂȘnes <adeschen at hotmail.com>

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

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("RJMCMCNucleosomes")

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("RJMCMCNucleosomes")
Nucleosome Positioning HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Bayesian, BiologicalQuestion, ChIPSeq, Coverage, NucleosomePositioning, Sequencing, Software, StatisticalMethod
Version 1.31.0
In Bioconductor since BioC 3.5 (R-3.4) (7.5 years)
License Artistic-2.0
Depends R (>= 3.5.0), IRanges, GenomicRanges
Imports Rcpp (>= 0.12.5), consensusSeekeR, BiocGenerics, GenomeInfoDb, S4Vectors(>= 0.23.10), BiocParallel, stats, graphics, methods, grDevices
System Requirements Rcpp
URL https://github.com/ArnaudDroitLab/RJMCMCNucleosomes
Bug Reports https://github.com/ArnaudDroitLab/RJMCMCNucleosomes/issues
See More
Suggests BiocStyle, knitr, rmarkdown, nucleoSim, RUnit
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
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Package Archives

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

Source Package RJMCMCNucleosomes_1.31.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/RJMCMCNucleosomes
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RJMCMCNucleosomes
Bioc Package Browser https://code.bioconductor.org/browse/RJMCMCNucleosomes/
Package Short Url https://bioconductor.org/packages/RJMCMCNucleosomes/
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