Constructed a comprehensive database elucidating the intricate regulatory mechanisms underlying Alzheimer's Disease genetics, integrating scRNA-seq, scATAC-seq, CHIP-seq, CUT&RUN and eQTL data to identify cis-regulatory elements.
Book chapter on Bayesian eQTL mapping using Stan
Repo for "traceCB: Trans-ancestry cell-type-specific eQTLs mapping by integrating scRNA-seq and bulk data"
Tejaas - a tool for discovering trans-eQTLs
Analysis pipeline to examine how gene pleiotropy influences local adaptation in Silverleaf Sunflowers
Our comprehensive database integrates data from scRNA seq and sc-ATAC seq, identifying cis-regulatory elements (CREs) through comparison with ENCODE, Epimap, GWAS Catalog, and other datasets. By connecting transcription factors (TFs), CREs, and target genes, cEpiReg unveils hidden regulatory links crucial for understanding AD pathogenesis.
Cell type-specific eQTL mapping
This readme repository contains sample codes for executing steps within our manuscript
Single-cell eQTL mapping and causal gene regulatory network inference at high efficiency and accuracy
atlasqtl R package - Fast global-local hotspot QTL detection
Computationally efficient and statistically powerful software for detecting context-specific eQTL effects in multi-context genomic studies.
Application of the Simple Sum method for testing co-localization of GWAS with any other SNP-level data (e.g. eQTL data)
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