Lars Wienbrandt

The paper introduces NeEDL, a network medicine-based method for detecting higher-order epistatic interactions in complex diseases, showing improved statistical significance and applicability across eight diseases.

GWAIS-Web provides a fast and secure web service for detecting genetic interactions in GWAS datasets using GPU and FPGA acceleration.

The paper develops PIA-M, a multimodal transformer-based tool for predicting HLA-II peptide presentation, achieving higher accuracy and faster runtime than existing methods.

EagleImp provides fast and accurate genome-wide phasing and imputation, outperforming existing tools in speed while maintaining or improving accuracy.

This study identifies a new susceptibility locus for severe COVID-19 through a detailed GWAS analysis in European populations, focusing on genetic variants associated with disease severity.

EagleImp-Web provides a fast, secure web service for genotype phasing and imputation using FPGA acceleration and transparent algorithms.