normr
This is the released version of normr; for the devel version, see normr.
All Bioconductor versions of normr
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, 3.7, 3.6, 3.5, 3.4
Normalization and difference calling in ChIP-seq data
Bioconductor version: 3.23 · Package version: 1.38.1
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"):
Johannes Helmuth, Ho-Ryun Chung. normr: Normalization and difference calling in ChIP-seq data. doi:10.18129/B9.bioc.normr, R package version 1.38.1, https://bioconductor.org/packages/normr.
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("normr")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.38.1 |
| License | GPL-2 |
| URL | https://github.com/your-highness/normR |
| Bug Reports | https://github.com/your-highness/normR/issues |
| System Requirements | C++11 |
| Last updated | 2026-05-21 |
| In Bioconductor since | BioC 3.4 (R-3.3) (9 years) |
| Downloads rank | 578 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Alignment, Bayesian, ChIPSeq, Classification, DataImport, DifferentialPeakCalling, FunctionalGenomics, Genetics, MultipleComparison, Normalization, PeakDetection, Preprocessing, RIPSeq, Software |
| Package Short Url | https://bioconductor.org/packages/normr/ |
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 | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | normr_1.38.1.tar.gz |
| Windows binary (x86_64) | normr_1.38.1.zip |
| macOS binary (arm64) | normr_1.38.1.tgz |
| macOS binary (x86_64) | normr_1.38.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/normr |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/normr |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.23 | Source Archive |
Dependencies
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
Enhances: BiocParallel