normr

DOI: 10.18129/B9.bioc.normr  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see normr.

Normalization and difference calling in ChIP-seq data

Bioconductor version: 3.17

Robust normalization and difference calling procedures for ChIP-seq and alike data. Read counts are modeled jointly as a binomial mixture model with a user-specified number of components. A fitted background estimate accounts for the effect of enrichment in certain regions and, therefore, represents an appropriate null hypothesis. This robust background is used to identify significantly enriched or depleted regions.

Author: Johannes Helmuth [aut, cre], Ho-Ryun Chung [aut]

Maintainer: Johannes Helmuth <johannes.helmuth at laborberlin.com>

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("normr")

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("normr")

 

HTML	R Script	Introduction to the normR package
PDF		Reference Manual
Text		NEWS

Details

biocViews	Alignment, Bayesian, ChIPSeq, Classification, DataImport, DifferentialPeakCalling, FunctionalGenomics, Genetics, MultipleComparison, Normalization, PeakDetection, Preprocessing, RIPSeq, Software
Version	1.26.0
In Bioconductor since	BioC 3.4 (R-3.3) (7 years)
License	GPL-2
Depends	R (>= 3.3.0)
Imports	methods, stats, utils, grDevices, parallel, GenomeInfoDb, GenomicRanges, IRanges, Rcpp (>= 0.11), qvalue(>= 2.2), bamsignals(>= 1.4), rtracklayer(>= 1.32)
LinkingTo	Rcpp
Suggests	BiocStyle, testthat (>= 1.0), knitr, rmarkdown
SystemRequirements	C++11
Enhances	BiocParallel
URL	https://github.com/your-highness/normR
BugReports	https://github.com/your-highness/normR/issues
Depends On Me
Imports Me
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Build Report

Package Archives

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

Source Package	normr_1.26.0.tar.gz
Windows Binary	normr_1.26.0.zip
macOS Binary (x86_64)	normr_1.26.0.tgz
macOS Binary (arm64)	normr_1.26.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/normr
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/normr
Bioc Package Browser	https://code.bioconductor.org/browse/normr/
Package Short Url	https://bioconductor.org/packages/normr/
Package Downloads Report	Download Stats