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.

Package details

AuthorLin S. Chen <>, Dipen P. Sangurdekar <> and John D. Storey <>
Bioconductor views GeneExpression GeneticVariability Genetics Microarray SNP
MaintainerJohn D. Storey <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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trigger documentation built on Nov. 8, 2020, 8:17 p.m.