StoreyLab/trigger-devel: 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
Browse package contents
Package details |
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| Author | Lin 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 |
| Maintainer | John D. Storey <jstorey@princeton.edu> |
| License | GPL-3 |
| Version | 1.15.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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