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 […]
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.
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
ASimulatoR is an R package for the simulation of RNA-seq reads with alternative splicing events. It is freely available on GitHub.
Fastlogranktest is a software package providing wicked-fast implementations of the logrank test in C++, R, and Python. The Python package and R package provide wrappers around the C++ implementation. Both offer a fast alternative to the standard logrank-test implementations in the liflines.statistics and survival packages, respectively. All you have to do is install the package
NEASE (Network-based Enrichment method for Alternative Splicing Events) is a Python package for the functional enrichment of alternative splicing events. The tool is available on GitHub.
Spycone is a python package for a splicing-aware analysis of time course data. It is available on Github.
Scellnetor is a novel scRNA-seq clustering tool. It allows the analysis of pseudo time-courses in single-cell sequencing data via a network-constrained clustering algorithm. Scellnetor is available as interactive online application at the Scellnetor website.
BiCoN is a powerful new systems medicine tool to stratify patients while elucidating the responsible disease mechanisms. BiCoN is a network-constrained biclustering approach which restricts biclusters to functionally related genes connected in molecular interaction networks and maximizes the expression difference between two subgroups of patients. A package for network-constrained biclustering of patients and multi-omics data
