To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("trigger")

In most cases, you don't need to download the package archive at all.

trigger

   

Transcriptional Regulatory Inference from Genetics of Gene ExpRession

Bioconductor version: 3.2

This R package provides tools for the statistical analysis of integrative genomic data that involve some combination of: genotypes, high-dimensional intermediate traits (e.g., gene expression, protein abundance), and higher-order traits (phenotypes). The package includes functions to: (1) construct global linkage maps between genetic markers and gene expression; (2) analyze multiple-locus linkage (epistasis) for gene expression; (3) quantify the proportion of genome-wide variation explained by each locus and identify eQTL hotspots; (4) estimate pair-wise causal gene regulatory probabilities and construct gene regulatory networks; and (5) identify causal genes for a quantitative trait of interest.

Author: Lin S. Chen <lchen at health.bsd.uchicago.edu>, Dipen P. Sangurdekar <dps at genomics.princeton.edu> and John D. Storey <jstorey at princeton.edu>

Maintainer: John D. Storey <jstorey at princeton.edu>

Citation (from within R, enter citation("trigger")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("trigger")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("trigger")

 

PDF Trigger Tutorial
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, GeneticVariability, Genetics, Microarray, SNP, Software
Version 1.16.0
In Bioconductor since BioC 2.9 (R-2.14) (4.5 years)
License GPL-3
Depends R (>= 2.14.0), corpcor, qtl
Imports qvalue, methods, graphics, sva
LinkingTo
Suggests
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 trigger_1.16.0.tar.gz
Windows Binary trigger_1.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) trigger_1.16.0.tgz
Mac OS X 10.9 (Mavericks) trigger_1.16.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/trigger/tree/release-3.2
Package Short Url http://bioconductor.org/packages/trigger/
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