To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("SIM")
In most cases, you don't need to download the package archive at all.
SIM
Integrated Analysis on two human genomic datasets
Bioconductor version: 2.14
Finds associations between two human genomic datasets.
Author: Renee X. de Menezes and Judith M. Boer
Maintainer: Renee X. de Menezes <r.xavierdemenezes at vumc.nl>
Citation (from within R,
enter citation("SIM")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("SIM")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SIM")
| R Script | SIM vignette | |
| Reference Manual |
Details
| biocViews | Microarray, Software, Visualization |
| Version | 1.34.0 |
| In Bioconductor since | BioC 2.3 (R-2.8) |
| License | GPL (>= 2) |
| Depends | R (>= 2.4), quantreg |
| Imports | graphics, stats, globaltest, quantsmooth |
| Suggests | biomaRt, RColorBrewer |
| 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 | SIM_1.34.0.tar.gz |
| Windows Binary | SIM_1.34.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | SIM_1.34.0.tgz |
| Mac OS X 10.9 (Mavericks) | SIM_1.34.0.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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