Over the past years, technological advances in sequencing - the process of reading out genomic information from biological samples - have led to a faster and more cost-efficient approach to sequence individual genomes and other genomic samples. Because of the enormous amount of sequencing data generated the processing, storage, and analysis of sequencing data - and omics data in general - entails novel challenges for the scientific community. New processes and tools have to be developed to overcome the current limitations in terms of storage space, processing speed, and many more.
Sequencing data - and omics data in general - passes through a great number of different analysis steps. Our goal is to develop novel algorithms to enhance data processing "from the tissue to the hard drive".
If you are interested in writing your thesis and thereby in contributing to this project please contact Jan Voges.