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trigger

This is the development version of trigger; for the stable release version, see trigger.

Transcriptional Regulatory Inference from Genetics of Gene ExpRession

Bioconductor version: Development (3.18)

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 (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("trigger")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("trigger")
Trigger Tutorial PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews GeneExpression, GeneticVariability, Genetics, Microarray, SNP, Software
Version 1.47.0
In Bioconductor since BioC 2.9 (R-2.14) (12 years)
License GPL-3
Depends R (>= 2.14.0), corpcor, qtl
Imports qvalue, methods, graphics, sva
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package trigger_1.47.0.tar.gz
Windows Binary trigger_1.47.0.zip (64-bit only)
macOS Binary (x86_64) trigger_1.47.0.tgz
macOS Binary (arm64) trigger_1.47.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/trigger
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/trigger
Bioc Package Browser https://code.bioconductor.org/browse/trigger/
Package Short Url https://bioconductor.org/packages/trigger/
Package Downloads Report Download Stats