cghMCR
Find chromosome regions showing common gains/losses
Bioconductor version: 2.10
This package provides functions to identify genomic regions of interests based on segmented copy number data from multiple samples.
Author: J. Zhang and B. Feng
Maintainer: J. Zhang <jzhang at jimmy.harvard.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("cghMCR")
To cite this package in a publication, start R and enter:
citation("cghMCR")
Documentation
| R Script | cghMCR findMCR | |
| Reference Manual |
Details
| biocViews | CopyNumberVariants, Microarray, Software |
| Depends | methods, DNAcopy, CNTools, limma |
| Imports | BiocGenerics(>= 0.1.6), stats4 |
| Suggests | |
| System Requirements | |
| License | LGPL |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.14.0 |
| Since | Bioconductor 1.8 (R-2.3) |
Package Downloads
| Package Source | cghMCR_1.14.0.tar.gz |
| Windows Binary | cghMCR_1.14.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | cghMCR_1.14.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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