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trigger (version 1.18.0)

Transcriptional Regulatory Inference from Genetics of Gene ExpRession

Description

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.

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Version

Version

1.18.0

License

GPL-3

Maintainer

Last Published

February 15th, 2017

Functions in trigger (1.18.0)

trigger.net-methods

Network-Trigger analysis
trigger.build

Format the input data and create an Trigger object
trigger.trait-methods

Trait-trigger analysis
trigger-class

A class to store and analyze data for Transcriptional Regulation Inference from Genetics of Gene ExpRession
trigger.mlink-methods

Multi-Locus Linkage (Epistasis) Analysis
trigger.netPlot2ps-methods

Write the network from a trigger probability matrix to a postscript file
trigger.link-methods

Genomewide eQTL analysis
trigger.export2cross-methods

Export Trigger data to R/qtl's cross class object
trigger.loclink-methods

Estimate local-linkage probability for each gene
yeast-data

A yeast data set for Transcriptional Regulation Inference from Genetics of Gene ExpRession
plot

Graphical Display of Trigger Analysis
trigger.eigenR2-methods

Estimate the proportion of genome-wide variation explained by each eQTL