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methVisual
Methods for visualization and statistics on DNA methylation data
Bioconductor version: 2.6
The package 'methVisual' allows the visualization of DNA methylation data after bisulfite sequencing.
Author: A. Zackay, C. Steinhoff
Maintainer: Arie Zackay <zackay at molgen.mpg.de>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("methVisual")
To cite this package in a publication, start R and enter:
citation("methVisual")
Documentation
| R Script | Introduction to methVisual | |
| Reference Manual |
Details
| biocViews | Bioinformatics, DNAMethylation, Clustering, Classification |
| Depends | R (>= 2.11.0), Biostrings(>= 2.4.8), plotrix, gsubfn, grid, sqldf |
| Imports | Biostrings, ca, graphics, grDevices, grid, gridBase, IRanges, stats, utils |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.0.1 |
| Since | Bioconductor 2.6 (R-2.11) |
Package Downloads
| Package Source | methVisual_1.0.1.tar.gz |
| Windows Binary | methVisual_1.0.1.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | methVisual_1.0.1.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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