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Coding of Sequencing Data

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 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 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".

In the scope of this project we actively contribute to the development of the MPEG-G standard (ISO/IEC 23092). More information is available on the MPEG-G website.

If you are interested in writing your thesis and thereby in contributing to this project please contact Jan Voges.

Show all publications
  • Idoia Ochoa, Hongyi Li, Florian Baumgarte, Charles Hergenrother, Jan Voges, Mikel Hernaez
    AliCo: a new efficient representation for SAM files
    [Accepted for publication] 2019 Data Compression Conference (DCC), IEEE Computer Society Conference Publishing Services (CPS), Snowbird, UT (US), March 2019
  • Jan Voges, Idoia Ochoa, Mikel Hernaez, James Bonfield
    Proposed Updates to the MPEG-G Genomic Information Database
    ISO/IEC JTC 1/SC 29/WG 11, Document Number M46660, Geneva (CH), March 2019
  • Massimo Ravasi, Daniel Naro, Junaid Ahmad, Jan Voges, Tom Paridaens
    Current status of MPEG-G reference software implementation
    ISO/IEC JTC 1/SC 29/WG 11, Document Number M47166, Geneva (CH), March 2019