Harvard University
For the summer semester 2023, Dominik is appointed as a visiting professor at the T.H. Chan School of Public Health, Harvard University.
For the summer semester 2023, Dominik is appointed as a visiting professor at the T.H. Chan School of Public Health, Harvard University.
Our project Deep Legion: Detection of virulence factor protein domains in Legionella using deep autoencoders has just been granted by the BMBF (031L0288A). The partner in the project is the University of Giessen. Abstract Legionella pneumophila is a Gram-negative bacterium and an important intracellular pathogen. It causes Legionnaires‘ disease, a specific form of pneumonia in…
Our new article has been accepted in Bioinformatics: Ren Y, Chakraborty T, Doijad S, Falgenhauer L, Falgenhauer J, Goesmann A, Hauschild A-C, Schwengers O, Heider D: Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning. Bioinformatics 2021, in press. (Link) Abstract MotivationAntimicrobial resistance (AMR) is one of the biggest global problems threatening human…
The University of Marburg (thru our project MOSLA) is now part of the global DNA Data Storage Alliance! The mission of the DNA Data Storage Alliance is to create and promote an interoperable storage ecosystem based on DNA as a data storage medium. In our project MOSLA, we aim to develop novel, transdisciplinary approaches for…
Our project Deep Insight: Integrating germline and somatic genetic profiles through machine learning to understand esophageal cancer etiology has just been granted by the BMBF (031L0267A). The partner in the project is the University of Cologne. Abstract Esophageal adenocarcinoma (EAC), also known as Barrett’s carcinoma, represents a major socio-medical challenge. It is a highly aggressive…
Our project Impact of diffusible signals at human cell-microbe interfaces has just been granted by the Hessian Ministry of Science and the Arts (HMWK) as a new LOEWE research cluster. As the Hessian Ministry of Science and the Arts (HMWK) announced today, a total of about 4.8 million euros will be granted for the new…
We created CORDITE (CORona Drug InTEractions database) an open database that collects and aggregates all available data from publications and preprints for SARS-CoV-2. Its focus is set on drug interactions. corona.mathematik.uni-marburg.decordite.mathematik.uni-marburg.de Please contribute to the open, curated database! UPDATES April 24, 2020CORDITE in numbers: 547 interactions (+17%), 423 drugs (+19%), 226 papers (+12%). NEW: GUI…
Our project Deep-iAMR: Identification of new antimicrobial resistance targets by high-throughput deep learning has just been granted by the BMBF (031L0209B). The partner in the project is the University of Gießen. Abstract According to the World Health Organization (WHO), antibiotic resistance is one of the biggest threats to global health, food security, and development today.…
Our project Systems Biology guided Machine Learning in Pharmacogenomics for Predicting Antidepressant Non-Remission In Late-Life Depression has just been granted by the DAAD. The partner in the project is Prof. Daniel Mueller from the University of Toronto. Abstract Late-life depression (LLD), which is the occurrence of major depressive disorder (MDD) in older adults (age ≥60 years),…
Luis Ceze from the University of Washington gave a talk on DNA data storage systems within our MOSLA project meeting at the Department of Mathematics and Computer Science at the University of Marburg.