This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see nuCpos.
Bioconductor version: 3.11
nuCpos, a derivative of NuPoP, is an R package for prediction of nucleosome positions. In nuCpos, a duration hidden Markov model is trained with a chemical map of nucleosomes either from budding yeast, fission yeast, or mouse embryonic stem cells. nuCpos outputs the Viterbi (most probable) path of nucleosome-linker states, predicted nucleosome occupancy scores and histone binding affinity (HBA) scores as NuPoP does. nuCpos can also calculate local and whole nucleosomal HBA scores for a given 147-bp sequence. Furthermore, effect of genetic alterations on nucleosome occupancy can be predicted with this package. The parental package NuPoP, which is based on an MNase-seq-based map of budding yeast nucleosomes, was developed by Ji-Ping Wang and Liqun Xi, licensed under GPL-2.
Author: Hiroaki Kato, Takeshi Urano
Maintainer: Hiroaki Kato <hkato at med.shimane-u.ac.jp>
Citation (from within R,
enter citation("nuCpos")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("nuCpos")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("nuCpos")
R Script | An R package for prediction of nucleosome positioning | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Epigenetics, Genetics, HiddenMarkovModel, ImmunoOncology, NucleosomePositioning, Software |
Version | 1.6.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (2 years) |
License | file LICENSE |
Depends | R (>= 3.6) |
Imports | graphics, methods |
LinkingTo | |
Suggests | NuPoP, Biostrings, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | nuCpos_1.6.0.tar.gz |
Windows Binary | nuCpos_1.6.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | nuCpos_1.6.0.tgz |
Source Repository | git 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/ |
Package Downloads Report | Download Stats |
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