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GenomicOZone

Delineate outstanding genomic zones of differential gene activity


Bioconductor version: Release (3.18)

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, enter citation("GenomicOZone")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GenomicOZone")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GenomicOZone")
GenomicOZone HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Annotation, BiomedicalInformatics, CellBiology, Clustering, CopyNumberVariation, Coverage, DifferentialExpression, DifferentialMethylation, FunctionalGenomics, FunctionalPrediction, GeneExpression, GeneRegulation, Genetics, GenomicVariation, RNASeq, Regression, Sequencing, Software, StructuralVariation, SystemsBiology, Transcription, Transcriptomics, Visualization
Version 1.16.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License LGPL (>=3)
Depends R (>= 4.0.0), Ckmeans.1d.dp (>= 4.3.0), GenomicRanges, biomaRt, ggplot2
Imports grDevices, stats, utils, plyr, gridExtra, lsr, parallel, ggbio, S4Vectors, IRanges, GenomeInfoDb, Rdpack
System Requirements
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Suggests readxl, GEOquery, knitr, rmarkdown
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GenomicOZone_1.16.0.tar.gz
Windows Binary GenomicOZone_1.16.0.zip (64-bit only)
macOS Binary (x86_64) GenomicOZone_1.16.0.tgz
macOS Binary (arm64) GenomicOZone_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GenomicOZone
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GenomicOZone
Bioc Package Browser https://code.bioconductor.org/browse/GenomicOZone/
Package Short Url https://bioconductor.org/packages/GenomicOZone/
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