Bioconductor-mirror/trigger: Transcriptional Regulatory Inference from Genetics of Gene ExpRession

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.

Getting started

Package details

AuthorLin S. Chen <[email protected]>, Dipen P. Sangurdekar <[email protected]> and John D. Storey <[email protected]>
Bioconductor views GeneExpression GeneticVariability Genetics Microarray SNP
MaintainerJohn D. Storey <[email protected]>
LicenseGPL-3
Version1.23.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/trigger")
Bioconductor-mirror/trigger documentation built on June 1, 2017, 8:01 p.m.