This is the development version of GenomicOZone; for the stable release version, see GenomicOZone.
Delineate outstanding genomic zones of differential gene activityBioconductor version: Development (3.22)
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.
Author: Hua Zhong, Mingzhou Song
Maintainer: Hua Zhong<zh9118 at gmail.com>, Mingzhou Song <joemsong at cs.nmsu.edu>
Citation (from within R, entercitation("GenomicOZone")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("GenomicOZone")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GenomicOZone")Follow Installation instructions to use this package in your R session.
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