This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see trigger.
Bioconductor version: 3.15
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 "4.2") and enter:
if (!require("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 | 1.42.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (11 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_1.42.0.tar.gz |
Windows Binary | trigger_1.42.0.zip |
macOS Binary (x86_64) | trigger_1.42.0.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 |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: