Bioconductor version: Release (3.16)
Methods for segmenting, normalising and processing aCGH data; including plotting functions for visualising raw and segmented data for individual and multiple arrays.
Author: Mike L. Smith, John C. Marioni, Steven McKinney, Thomas Hardcastle, Natalie P. Thorne
Maintainer: John Marioni <marioni at ebi.ac.uk>
Citation (from within R,
enter citation("snapCGH")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("snapCGH")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("snapCGH")
R Script | Segmentation Overview | |
Reference Manual |
biocViews | CopyNumberVariation, Microarray, Preprocessing, Software, TwoChannel |
Version | 1.68.0 |
In Bioconductor since | BioC 1.8 (R-2.3) (17 years) |
License | GPL |
Depends | R (>= 3.5.0) |
Imports | aCGH, cluster, DNAcopy, GLAD, graphics, grDevices, limma, methods, stats, tilingArray, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | ADaCGH2 |
Suggests Me | beadarraySNP |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | snapCGH_1.68.0.tar.gz |
Windows Binary | snapCGH_1.68.0.zip |
macOS Binary (x86_64) | snapCGH_1.68.0.tgz |
macOS Binary (arm64) | snapCGH_1.68.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/snapCGH |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/snapCGH |
Bioc Package Browser | https://code.bioconductor.org/browse/snapCGH/ |
Package Short Url | https://bioconductor.org/packages/snapCGH/ |
Package Downloads Report | Download Stats |
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