normr: Normalization and difference calling in ChIP-seq data
Version 1.4.0

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.

Package details

AuthorJohannes Helmuth [aut, cre], Ho-Ryun Chung [aut]
Bioconductor views Alignment Bayesian ChIPSeq Classification DataImport DifferentialPeakCalling FunctionalGenomics Genetics MultipleComparison Normalization PeakDetection Preprocessing RIPSeq
MaintainerJohannes Helmuth <[email protected]>
LicenseGPL-2
Version1.4.0
URL https://github.com/your-highness/normR
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("normr")

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normr documentation built on Nov. 17, 2017, 9:05 a.m.