GenomicOZone: Delineate outstanding genomic zones of differential gene activity

The package clusters gene activity along chromosome into zones, detects differential zones as outstanding, and visualizes maps of outstanding zones across the genome. It enables characterization of effects on multiple genes within adaptive genomic neighborhoods, which could arise from genome reorganization, structural variation, or epigenome alteration. It guarantees cluster optimality, linear runtime to sample size, and reproducibility. One can apply it on genome-wide activity measurements such as copy number, transcriptomic, proteomic, and methylation data.

Package details

AuthorHua Zhong, Mingzhou Song
Bioconductor views Annotation BiomedicalInformatics CellBiology Clustering Coverage DifferentialExpression DifferentialMethylation FunctionalGenomics FunctionalPrediction GeneExpression GeneRegulation Genetics GenomicVariation RNASeq Regression Sequencing Software StructuralVariation SystemsBiology Transcription Transcriptomics Visualization
MaintainerHua Zhong<>, Mingzhou Song <>
LicenseLGPL (>=3)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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GenomicOZone documentation built on Nov. 8, 2020, 6:01 p.m.