Hierarchical probabilistic models for multiple gene/variant associations based on NGS data
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Updated
May 28, 2017 - Jupyter Notebook
Hierarchical probabilistic models for multiple gene/variant associations based on NGS data
Bioinformatic software to identify causal variants in GWAS and GWAS/eQTL studies.
fastQTL analysis of methylation and expression data
An Online Database of 3D Chromatin Structure
An R package for multivariate adaptive shrinkage.
Hidden Markov Random Field Model - Inferring Gene-Disease Association by an Integrative Analysis of eQTL GWAS and Protein-Protein Interaction data
Code and raw data used in the analyses for: Trans-acting genetic variation affects the expression of adjacent genes via horizontal mechanisms.
Analysis of regulatory impacts of autism-associated SNPs on biological pathways in the fetal and adult cortex.
Tejaas - a tool for discovering trans-eQTLs
Pipeline to investigate multimorbidity of complex traits/phenotypes by integrating chromatin interaction and expression quantitative trait loci data.
Analysis of host regulatory networks that could be impacted upon infection with the Covid-19 virus
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