Genomic Data Science

TNT members involved in this project:
Yeremia G. Adhisantoso, M.Sc.
Fabian Müntefering, M.Sc.
Prof. Dr.-Ing. Jörn Ostermann
Stephanie Kristin Schröder, M.Eng.
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), December 2023
  • Fabian Müntefering, Jörn Ostermann, Jan Voges
    BACON: Bacterial Clone Recognition from Metagenomic Sequencing Data
    AICPM 2023, Hannover (DE), September 2023
  • Yeremia Gunawan Adhisantoso, Jan Voges, Jörn Ostermann
    PEKORA: High-Performance 3D Genome Reconstruction Using K-th Order Spearman's Rank Correlation Approximation
    ISMB/ECCB 2023, Lyon (FR), July 2023