MEDME
Modelling Experimental Data from MeDIP Enrichment
Bioconductor version: 3.23 · Package version: 1.72.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
MEDME allows the prediction of absolute and relative methylation levels based on measures obtained by MeDIP-microarray experiments
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MEDME")Details
| Maintainer | Mattia Pelizzola <mattia.pelizzola@gmail.com> |
| Author | Mattia Pelizzola and Annette Molinaro |
| License | GPL (>= 2) |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | CpGIsland, DNAMethylation, Microarray, Software |
| Package Short Url | https://bioconductor.org/packages/MEDME/ |
Citation
From within R, enter citation("MEDME"):
Mattia Pelizzola and Annette Molinaro. MEDME: Modelling Experimental Data from MeDIP Enrichment. doi:10.18129/B9.bioc.MEDME, R package version 1.72.0, https://bioconductor.org/packages/MEDME.
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 | MEDME_1.72.0.tar.gz |
| Windows binary (x86_64) | MEDME_1.72.0.zip |
| macOS binary (arm64) | MEDME_1.72.0.tgz |
| macOS binary (x86_64) | MEDME_1.72.0.tgz |
Dependencies
Depends: R (>= 2.15), grDevices, graphics, methods, stats, utils
Imports: Biostrings, MASS, drc
Suggests: BSgenome.Hsapiens.UCSC.hg18, BSgenome.Mmusculus.UCSC.mm9