gms | German Medical Science

63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

02. - 06.09.2018, Osnabrück

Multi-omics data analysis

Meeting Abstract

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  • Benjamin Löhnhardt - Institut für Medizinische Informatik, Universitätsmedizin Göttingen, Göttingen, Deutschland
  • Ulrich Sax - Institut für Medizinische Informatik, Universitätsmedizin Göttingen, Göttingen, Deutschland
  • Tim Beißbarth - Institut für Medizinische Statistik, Universitätsmedizin Göttingen, Göttingen, Deutschland

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Osnabrück, 02.-06.09.2018. Düsseldorf: German Medical Science GMS Publishing House; 2018. DocAbstr. 151

doi: 10.3205/18gmds195, urn:nbn:de:0183-18gmds1957

Published: August 27, 2018

© 2018 Löhnhardt et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Workshop Description: Increasing amounts of high-throughput data sets are collected during the examination of patients, in particular imaging data, and data from genome-wide screening techniques like next-generation sequencing (NGS) or proteomics. The analysis of these complex data sets identifies new challenges for biomedical informatics, medical bioinformatics, biostatistics, and systems medicine. Finally, it aims at a more precise classification of patient groups during the diagnosis and therefore it enables customized therapies in personalized medicine. Multi-omics data integration is one of the major challenges in the era of precision medicine. Within this workshop, we want to consider the holistic lifecycle of multi-omics data: 1) How to store multi-omics data in databases using the FAIR principles to achieve data quality and reusability. 2) How to process multi-omics data with validated data analysis pipelines. Furthermore, use cases and applications of multi-omics data analysis will be presented.

Audiences: The workshop addresses a wide audience from the areas of bioinformatics, medical informatics, and systems biology to biostatistics as well as epidemiology. The workshop should give an overview over the field and especially address the overlaps and interfaces between all the different research areas and scientific communities active in multi-omics data analysis.

Methods: In several talks bridging the domains of biomedical informatics, medical bioinformatics, biostatistics, and systems medicine, the demands, challenges, and potential solutions regarding multi-omics data analysis should be presented. Furthermore, a fruitful interdisciplinary discussion should be encouraged.

Hosts/Moderators:

  • Prof. Dr. Ulrich Sax (University Medical Center Göttingen, Dept. of Medical Informatics)
  • Prof. Dr. Tim Beißbarth (University Medical Center Göttingen, Dept. of Medical Statistics)
  • Benjamin Löhnhardt (University Medical Center Göttingen, Dept. of Medical Informatics)

Agenda:

1.
Intro - Ulrich Sax, University Medical Center Göttingen
2.
Talk of Martin Golebiewski, Heidelberg Institute for Theoretical Studies
3.
Talk of N.N. (proposed)
4.
Break
5.
Intro - Tim Beißbarth, University Medical Center Göttingen
6.
“Radiomics and Computer Assisted Diagnosis - when will it become part of clinical routine?” - Prof. Dr. Alexander Radbruch, DKFZ Heidelberg
7.
Talk of Dr. Oliver Stegle, EMBL-EBI (proposed)
8.
Discussion

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.