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source("http://bioconductor.org/biocLite.R")
biocLite("GeneticsDesign")
In most cases, you don't need to download the package archive at all.
GeneticsDesign
Functions for designing genetics studies
Bioconductor version: 2.14
This package contains functions useful for designing genetics studies, including power and sample-size calculations.
Author: Gregory Warnes <warnes at bst.rochester.edu> David Duffy <davidD at qumr.edu.au>, Michael Man <michael.man at pfizer.com> Weiliang Qiu <stwxq at channing.harvard.edu> Ross Lazarus <ross.lazarus at channing.harvard.edu>
Maintainer: The R Genetics Project <r-genetics-talk at lists.sourceforge.net>
Citation (from within R,
enter citation("GeneticsDesign")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GeneticsDesign")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GeneticsDesign")
| R Script | Package | |
| Reference Manual |
Details
| biocViews | Genetics, Software |
| Version | 1.32.0 |
| In Bioconductor since | BioC 2.0 (R-2.5) |
| License | GPL-2 |
| Depends | |
| Imports | gmodels, graphics, gtools (>= 2.4.0), mvtnorm, stats |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | GeneticsDesign_1.32.0.tar.gz |
| Windows Binary | GeneticsDesign_1.32.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | GeneticsDesign_1.32.0.tgz |
| Mac OS X 10.9 (Mavericks) | GeneticsDesign_1.32.0.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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