Explore projects

This project explores and implements robust relational data models for efficiently storing and querying large-scale genetic Variant Call Format (VCF) data. Leveraging PostgreSQL, we present and evaluate eight distinct schema designs, demonstrating how traditional relational databases can offer competitive performance, scalability, and full database management system (DBMS) features for complex genomic workloads, complementing specialized tools like BCF Tools and TileDB-VCF.

Definition of Docker images for use within (and beyond) OBDF experiments

Aggregation of indices values over Nuts3 into database

Applying Lexical Diversity (LD) measures for DaZ/DaF research.

Supplemental material for 2025 KBS submission titled "Ontology-based Data Federation and Query Optimization"

Climate Data Downscaling using ML Methods for interTwin Project