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RJMCMCNucleosomes

This is thereleased version of RJMCMCNucleosomes; for the devel version, seeRJMCMCNucleosomes.

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

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DOI: 10.18129/B9.bioc.RJMCMCNucleosomes


Bioconductor version: Release (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, entercitation("RJMCMCNucleosomes")):

Installation

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

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

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

Documentation

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

browseVignettes("RJMCMCNucleosomes")
Nucleosome PositioningHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBayesian,BiologicalQuestion,ChIPSeq,Coverage,NucleosomePositioning,Sequencing,Software,StatisticalMethod
Version1.34.0
In Bioconductor sinceBioC 3.5 (R-3.4) (8.5 years)
LicenseArtistic-2.0
DependsR (>= 3.5),IRanges,GenomicRanges
ImportsRcpp (>= 0.12.5),consensusSeekeR,BiocGenerics,Seqinfo,S4Vectors(>= 0.23.10),BiocParallel, stats, graphics, methods, grDevices
System RequirementsRcpp
URLhttps://github.com/ArnaudDroitLab/RJMCMCNucleosomes
Bug Reportshttps://github.com/ArnaudDroitLab/RJMCMCNucleosomes/issues
See More
SuggestsBiocStyle,knitr,rmarkdown,nucleoSim,RUnit
Linking ToRcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageRJMCMCNucleosomes_1.34.0.tar.gz
Windows Binary (x86_64) RJMCMCNucleosomes_1.34.0.zip (64-bit only)
macOS Binary (x86_64)RJMCMCNucleosomes_1.34.0.tgz
macOS Binary (arm64)RJMCMCNucleosomes_1.34.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/RJMCMCNucleosomes
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/RJMCMCNucleosomes
Bioc Package Browserhttps://code.bioconductor.org/browse/RJMCMCNucleosomes/
Package Short Urlhttps://bioconductor.org/packages/RJMCMCNucleosomes/
Package Downloads ReportDownload Stats

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