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nuCpos

This is the released version of nuCpos; for the devel version, see nuCpos.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8

An R package for prediction of nucleosome positions


Bioconductor version: Release (3.23)

nuCpos, a derivative of NuPoP, is an R package for prediction of nucleosome positions. nuCpos calculates local and whole nucleosomal histone binding affinity (HBA) scores for a given 147-bp sequence. Note: This package was designed to demonstrate the use of chemical maps in prediction. As the parental package NuPoP now provides chemical-map-based prediction, the function for dHMM-based prediction was removed from this package. nuCpos continues to provide functions for HBA calculation.

Author: Hiroaki Kato, Takeshi Urano

Maintainer: Hiroaki Kato <hkato at med.shimane-u.ac.jp>

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

Hiroaki Kato, Takeshi Urano. nuCpos: An R package for prediction of nucleosome positions. doi:10.18129/B9.bioc.nuCpos, R package version 1.30.0, https://bioconductor.org/packages/nuCpos.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("nuCpos")

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("nuCpos")
An R package for prediction of nucleosome positioning PDF R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Epigenetics, Genetics, NucleosomePositioning, Software
Version1.30.0
In Bioconductor sinceBioC 3.8 (R-3.5) (8 years)
License GPL-2
Depends R (>= 4.2.0)
Imports graphics, methods
System Requirements
URL
See More
Suggests NuPoP, Biostrings, testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package nuCpos_1.30.0.tar.gz
Windows Binary (x86_64) nuCpos_1.30.0.zip
macOS Binary (big-sur-x86_64) nuCpos_1.30.0.tgz
macOS Binary (sonoma-arm64) nuCpos_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/nuCpos
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/nuCpos
Package Short Url https://bioconductor.org/packages/nuCpos/
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