normr

Normalization and difference calling in ChIP-seq data

Bioconductor version: Release (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>

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

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")

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

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)
Linking To	Rcpp
Suggests	BiocStyle, testthat (>= 1.0), knitr, rmarkdown
System Requirements	C++11
Enhances	BiocParallel
URL	https://github.com/your-highness/normR
Bug Reports	https://github.com/your-highness/normR/issues

Depends On Me
Imports Me
Suggests Me
Links To Me
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