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Showing content from https://www.bioconductor.org/packages/devel/bioc/html/../../bioc/html/RJMCMCNucleosomes.html below:

Bioconductor - RJMCMCNucleosomes (development version)

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 (3.22)

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 Deschênes [cre, aut], Khader Khadraoui [aut], Lajmi Lakhal-Chaieb [aut], Arnaud Droit [aut]

Maintainer: Astrid Deschênes <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")
Details biocViews Bayesian, BiologicalQuestion, ChIPSeq, Coverage, NucleosomePositioning, Sequencing, Software, StatisticalMethod Version 1.33.0 In Bioconductor since BioC 3.5 (R-3.4) (8 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 Package Archives

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

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