ProjectCyber Valley Nachwuchsgruppe Bioinformatik

Basic data

Cyber Valley Nachwuchsgruppe Bioinformatik
01/07/2018 to 30/06/2022
Abstract / short description:
The process of gene expression, from DNA to protein, is controlled in a myriad of ways, each contributing to the huge observable diversity and the dynamics with which nature expresses itself. To probe the individual regulatory mechanisms, high-throughput sequencing technologies have been creatively combined with other biochemical assays. Statistical analysis of these data sets, however, remains challenging. The aim of the Junior Research Group is to explore how machine-learning techniques can be employed to find hidden patterns in high-throughput sequencing data.

Involved staff


Institute of English Languages and Literatures
Department of Modern Languages, Faculty of Humanities

Local organizational units

Department of Informatics
Faculty of Science
University of Tübingen


Stuttgart, Baden-Württemberg, Germany

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