trigger: Transcriptional Regulatory Inference from Genetics of Gene ExpRession
Version 1.22.0

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
Version1.22.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("trigger")

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trigger documentation built on May 31, 2017, 10:53 a.m.