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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("hapmap100khind")
In most cases, you don't need to download the package archive at all.
hapmap100khind
Sample data - Hapmap 100K HIND Affymetrix
Bioconductor version: 3.0
Sample dataset obtained from http://www.hapmap.org
Author: Hapmap Consortium
Maintainer: Benilton Carvalho <Benilton.Carvalho at cancer.org.uk>
Citation (from within R,
enter citation("hapmap100khind")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("hapmap100khind")
Documentation
| Reference Manual |
Details
| biocViews | ExperimentData, HapMap |
| Version | 1.7.1 |
| License | GPL |
| Depends | |
| Imports | |
| LinkingTo | |
| Suggests | oligo |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | hapmap100khind_1.7.1.tar.gz |
| Windows Binary | hapmap100khind_1.7.1.zip |
| Mac OS X 10.6 (Snow Leopard) | hapmap100khind_1.7.1.tgz |
| Mac OS X 10.9 (Mavericks) | hapmap100khind_1.7.1.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
- 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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