Omics data processing and storage

TNT members involved in this project:
Dr.-Ing. Marco Munderloh
Prof. Dr.-Ing. Jörn Ostermann
Dipl.-Ing. Jan Voges

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.

Show all publications
  • Jan Voges, Ali Fotouhi, Jörn Ostermann, M. Oguzhan Külekci
    A Two-Level Scheme for Quality Score Compression
    Accepted at 10th International Conference on Bioinformatics and Computational Biology (BICOB 2018), International Society for Computers and their Applications (ISCA), Las Vegas, NV (US), March 2018
  • Ana A Hernandez-Lopez, Jan Voges, Claudio Alberti, Marco Mattavelli, Jörn Ostermann
    Lossy compression of quality scores in differential gene expression: A first assessment and impact analysis
    Accepted at 2018 Data Compression Conference (DCC), IEEE Computer Society Conference Publishing Services (CPS), Snowbird, UT (US), March 2018
  • Jan Voges
    Study on White paper on the objectives and benefits of the MPEG-G standard (Draft 1)
    ISO/IEC JTC 1/SC 29/WG 11, Document Number M41956, Gwangju (KR), January 2018