Genomic Data Science

TNT members involved in this project:
Yeremia G. Adhisantoso, M.Sc.
Fabian Müntefering, M.Sc.
Prof. Dr.-Ing. Jörn Ostermann
Dr.-Ing. Jan Voges

In recent years, technological advances in DNA sequencing have led to faster and more cost-efficient approaches for sequencing individual genomes and other genomic samples. Due to the enormous amount of sequencing data generated, the processing, storage, and analysis of sequencing data presents new challenges to the scientific community. New methods and tools need to be developed to improve understanding of the underlying biology and overcome current limitations in terms of storage space, processing speed, and many more.

Show all publications
  • Christian Rohlfing, Thibaut Meyer, Jens Schneider, Jan Voges
    Python Wrapper for Context-based Adaptive Binary Arithmetic Coding
    2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), p. ["Demo" session], 2023
  • Ilona Rosenboom, Tobias Scheithauer, Fabian C. Friedrich, Sophia Pörtner, Lisa Hollstein, Marie‑Madlen Pust, Konstantinos Sifakis, Tom Wehrbein, Bodo Rosenhahn, Lutz Wiehlmann, Patrick Chhatwal, Burkhard Tümmler, Colin F Davenport
    Wochenende - modular and flexible alignment-based shotgun metagenome analysis
    BMC Genomics, Springer Nature, November 2022
  • Jan Voges
    Compression of DNA Sequencing Data
    Fortschritt-Berichte VDI, VDI Verlag, 2022