With GNexT (GWAS network exploration tool), we present a web-based platform that moves beyond variant-level effect and significance exploration provided by existing solutions. GNExT allows its users to study genetic…
In our paper “NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data”, we present a Python package with Numba and OpenMP-powered C++ backends for…
From November 17 to 21, Lis Arend (TU Munich) and Fabian Woller (FAU Erlangen) once again visited the DyHealthNet project partners at Eurac Research in their roles as Visiting Scientists.…
At this year’s ISMB/ECCB 2025, the DyHealthNet project was represented by two posters and one flash talk. Lis Arend presented the DyHealthNet platform in its current form and gathered valuable…
During our annual project meeting of the DyHealthNet project in Feldthurns (Italy) from February 26-28, 2025, the project partners from the University of Bozen-Bolzano, the Eurac Research Institute, FAU Erlangen,…
Last week, Lis Arend (TU Munich) and Fabian Woller (FAU Erlangen) have visited the DyHealthNet project partners at the Institute of Biomedicine at Eurac Research in Bolzano. Throughout their five-day…
The kick-off meeting for the DyHealthNet project, held in Feldthurns (Italy) from February 1-3, 2024, was a collaborative effort involving the project partners from the University of Bozen-Bolzano, the Eurac…
