To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("cMAP")
In most cases, you don't need to download the package archive at all.
cMAP
A data package containing annotation data for cMAP
Bioconductor version: 3.0
Annotation data file for cMAP assembled using data from public data repositories
Author: Ting-Yuan Liu, ChenWei Lin, Seth Falcon, Jianhua Zhang, James W. MacDonald
Maintainer: Biocore Data Team <biocannotation at lists.fhcrc.org>
Citation (from within R,
enter citation("cMAP")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("cMAP")
Documentation
| Reference Manual |
Details
| biocViews | AnnotationData |
| Version | 1.15.1 |
| License | LGPL |
| Depends | R (>= 2.4.0) |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | pathRender |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | cMAP_1.15.1.tar.gz |
| Windows Binary | cMAP_1.15.1.zip |
| Mac OS X 10.6 (Snow Leopard) | cMAP_1.15.1.tgz |
| Mac OS X 10.9 (Mavericks) | cMAP_1.15.1.tgz |
| 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
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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