Placing regulatory variants into tissue context

Wed, 12 Aug 2026 00:00:00 +0000

Project Description

With the rapid development of spatial transcriptomics techniques, the bioinformatics possibilities in this research area are growing as well. A recent approach (gsMAP) integrates spatial transcriptomics data with genome-wide association study (GWAS) summary statistics, enabling spatially resolved linking of genetic associations to individual cells.

In our lab, we developed a statistical approach (SNEEP, see ) that identifies regulatory single nucleotide variants that impact transcription factor binding in cis-regulatory elements, such as enhancer. This project aims to incorporate SNEEP into gsMAP in order to improve the inclusion of functionally important regulatory variants to the spatial mapping step.

Research Goals

Combine SNEEP and gsMAP
Test the new implementation
Evaluate and compare the results to the original method

Prerequisites

Python programming
Basic knowlegde of genomics is helpful, but not required

How to Apply

Send an Email with a short motivation to the corresponding supervisor .

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