GenomicOZone
Delineate outstanding genomic zones of differential gene activity
Bioconductor version: 3.23 · Package version: 1.26.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GenomicOZone")Details
| Maintainer | Hua Zhong<zh9118@gmail.com>, Mingzhou Song <joemsong@cs.nmsu.edu> |
| Author | Hua Zhong, Mingzhou Song |
| License | LGPL (>=3) |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Annotation, BiomedicalInformatics, CellBiology, Clustering, CopyNumberVariation, Coverage, DifferentialExpression, DifferentialMethylation, FunctionalGenomics, FunctionalPrediction, GeneExpression, GeneRegulation, Genetics, GenomicVariation, RNASeq, Regression, Sequencing, Software, StructuralVariation, SystemsBiology, Transcription, Transcriptomics, Visualization |
| Package Short Url | https://bioconductor.org/packages/GenomicOZone/ |
Citation
From within R, enter citation("GenomicOZone"):
Hua Zhong, Mingzhou Song. GenomicOZone: Delineate outstanding genomic zones of differential gene activity. doi:10.18129/B9.bioc.GenomicOZone, R package version 1.26.0, https://bioconductor.org/packages/GenomicOZone.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GenomicOZone_1.26.0.tar.gz |
| Windows binary (x86_64) | GenomicOZone_1.26.0.zip |
| macOS binary (arm64) | GenomicOZone_1.26.0.tgz |
| macOS binary (x86_64) | GenomicOZone_1.26.0.tgz |