The Peter L. Reichertz Institute for Medical Informatics has developed MeTEor (MEtabolite Trajectory ExplORer), an R Shiny app designed to simplify the analysis of longitudinal metabolomics data. MeTEor addresses challenges such as data complexity and temporal variability, providing researchers with accessible tools for exploring time-series omics datasets without requiring advanced programming expertise.
As part of an international research team led by Olga Tsoy from the University of Hamburg, the Division of Data Science in Biomedicine contributed to the development of new guidelines for determining the optimal sequencing depth in RNA sequencing (RNA-Seq) studies focusing on alternative splicing (AS).
After six years of intensive work an international research team has developed an innovative AI tool called NeEDL. This tool identifies hidden epistatic interactions (EIs)—genetic interactions that affect many hereditary diseases and were previously difficult to detect.
After seven years of intensive research, inter-university research team releases the Epistasis Disease Atlas (EDA). This innovative online tool offers detailed insights into the genetic causes of eight major diseases, including Alzheimer’s and diabetes.
On July 11, students from the Technical University of Braunschweig presented the results of this year's software development internship. The event provided a platform for aspiring developers to showcase their semester projects and compete with other talents from the fields of Computer Science, Business Informatics, and Information Systems Engineering.
On 6 and 7 June 2024, the workshop of the GMDS/IBS-DR working groups 'Mathematical Models in Medicine and Biology' and 'Statistical Methods in Bioinformatics' took place in Dresden.
The paper 'Inference of differential gene regulatory networks using boosted differential trees' has recently been published in Bioinformatics Advances.
Currently, some people suffering from depression cannot be helped with standard therapies. Therefore, a national project is investigating how the treatment of depression can be tailored more closely to individual patients.