 
  
 
   
   This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see trigger.
Bioconductor version: 3.12
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")):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("trigger")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("trigger")
    
| R Script | Trigger Tutorial | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | GeneExpression, GeneticVariability, Genetics, Microarray, SNP, Software | 
| Version | 1.36.0 | 
| In Bioconductor since | BioC 2.9 (R-2.14) (9.5 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 | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | trigger_1.36.0.tar.gz | 
| Windows Binary | trigger_1.36.0.zip (32- & 64-bit) | 
| macOS 10.13 (High Sierra) | trigger_1.36.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/trigger | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/trigger | 
| Package Short Url | https://bioconductor.org/packages/trigger/ | 
| Package Downloads Report | Download Stats | 
 
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