Bayesian tool to integrate genetic and epigenetic data to find causal expression regulatory polymorphisms


GOAL is R implement eQTeL model, that integrate Genetic and Epigenetic data to identify SNPs that regulates expression of genes. More specifically, it leverages epigenetic data to estimate a) regulatory potential, and b) interaction potential to identify SNPs that are responsible to regulate genes and causal to expression variability.

Recent news

Make use of the developer version for the latest features!

Version XX

+ Initial version without documentation.

Obtaining GOAL

The latest source code with documentation of the R-package can be downloaded from https://github.com/vinash85/GOAL. It will be soon available through CRAN along with documentation.

UMIACS Investigators: