New paper: Can AI keep informed consent neutral? Our case study on LLM “nudging” in clinical trials

We are pleased to announce a new open-access publication in Research Ethics, exploring an increasingly urgent question: as large language models move into clinical trial recruitment, can they communicate with prospective participants without quietly steering their decisions? Informed consent rests on voluntary, well-informed choice that is free from undue influence. LLMs could genuinely help here — […]

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CoVex

To address the pandemic of the Coronavirus Disease-2019 (COVID-19), drug repurposing can be a helpful approach since it offers the possibility to find alternative fields of application for already approved drugs. CoVex is the first network and systems medicine online data analysis platform that integrates virus-human interaction data for SARS-CoV-2 and SARS-CoV. It is available

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Digger

Domain Interaction Graph Guided ExploreR (DIGGER) integrates protein-protein interactions and domain-domain interactions into a joint graph and maps interacting residues to exons. DIGGER allows the users to query exons or isoforms individually or as a set to visually explore their interactions. Further information can be found here.

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Epigen

EpiGEN is a Python pipeline for simulating epistasis data. It supports epistasis models of arbitrary size, which can be specified either extensionally or via parametrized risk models. Moreover, the user can specify the minor allele frequencies (MAFs) of both noise and disease SNPs, and provide a bias target distribution for the generated phenotypes to simulate

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NeDRex

NeDRex is an integrative and interactive platform for network-base drug repurposing and disease module identification. More information, tutorials and a download link for the app can be found here.

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sPLINK

sPLINK (safe PLINK) allows the federated, privacy-preserving analysis of GWAS data. It works on distributed datasets without exchanging raw data and is robust against imbalanced phenotype distributions across cohorts. Federated and user-friendly analysis with sPLINK, thus, has the potential to replace meta-analysis as the gold standard for collaborative GWAS. The tool is available online here.

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DyNOPS kick-off

We are pleased to start the DyNOPS project with the Institute of Psychology. Thank you very much for hosting, showing us around, and the productive exchange Julius Bittner, Anja Grocholewski. Within the project, we use dynamic Bayesian networks to understand how individual symptoms of depressive and anxiety disorders are interrelated over the course of outpatient

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DyNOPS

DyNOPS (Dynamic Bayesian Network Modelling of Psychopathology during Outpatient Psychotherapy) is a collaborative research project between the Institute of Psychology and the Institute of Data Science in Biomedicine at TU Braunschweig. The project aims to view psychological disorders as causal interactions between symptoms forming a continuous feedback loop, rather than as observable parts of a

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DICAST

DICAST comprises several alternative splicing event detection tools for analyzing RNA-Seq data. It can be used as a benchmark to compare the results of the different tools. More information and instructions can be found here.

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New Preprint: Benchmarking Precision Matrix Estimation for Differential Co-Expression Network Analysis

We are pleased to share our latest preprint, now available on bioRxiv: “Benchmarking precision matrix estimation methods for differential co-expression network analysis” Overmann M., Grabert G., Kacprowski T. bioRxiv (2026) | https://doi.org/10.64898/2026.04.13.716081 Understanding how genes interact — and how those interactions change in disease — is a central challenge in molecular biology. While classical differential expression analyses identify which

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