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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("charmData")
In most cases, you don't need to download the package archive at all.
charmData
An example dataset for use with the charm package
Bioconductor version: 2.14
An example dataset for use with the charm package
Author: Martin Aryee
Maintainer: Martin Aryee <aryee at jhu.edu>
Citation (from within R,
enter citation("charmData")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("charmData")
Documentation
| Reference Manual |
Details
| biocViews | ExperimentData |
| Version | 1.0.0 |
| License | LGPL (>= 2) |
| Depends | R (>= 2.11.0), charm, pd.charm.hg18.example |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | charm |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | charmData_1.0.0.tar.gz |
| Windows Binary | charmData_1.0.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | charmData_1.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | charmData_1.0.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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