igbucur/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 <lchen@health.bsd.uchicago.edu>, Dipen P. Sangurdekar <dps@genomics.princeton.edu> and John D. Storey <jstorey@princeton.edu>
Bioconductor views GeneExpression GeneticVariability Genetics Microarray SNP
MaintainerJohn D. Storey <jstorey@princeton.edu>
LicenseGPL-3
Version1.28.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("igbucur/trigger")
igbucur/trigger documentation built on Oct. 16, 2020, 1:57 a.m.