Minisymposium 5
The next generation in microbial omics

Programme

• 17:30 – 17:45 10 Min. 5 Min.

  • Short lecture
  • FGB-FG01

  A comprehensive comparison of feature selection methods for machine learning on microbial datasets

  • Erik Zschaubitz (Rostock, DE)

   Computational microbiology
• 17:45 – 18:00 10 Min. 5 Min.

  • Short lecture
  • FGB-FG02

  Using artificial intelligence and a novel media database to predict cultivation conditions for bacteria

  • Dr. Julia Koblitz (Braunschweig, DE)

   Computational microbiology
• 18:00 – 18:15 10 Min. 5 Min.

  • Short lecture
  • FGB-FG03

  Functional characterization of hypothetical proteins in Escherichia coli using artificial intelligence and big data

  • Sagarika Chakraborty (Eggenstein-Leopoldshafen, DE)

   Computational microbiology
• 18:15 – 18:30 10 Min. 5 Min.

  • Short lecture
  • FGB-FG04

  Exploring the theoretical limits: Kinetic modelling of cyanobacterial metabolism for optimization of terpenoid production in Synechocystis

  • Andreas Nakielski (Aachen, DE)

   Computational microbiology
• 18:30 – 18:45 10 Min. 5 Min.

  • Short lecture
  • FGB-FG05

  Synthetic intra- and inter-species symbiosis between E. coli and V. natriegens helps understanding the fundamental regulations of abundance ratios in microbial communities

  • Maurice Mager (Düsseldorf, DE)

   Systems and synthetic microbiology
• 18:45 – 19:00 10 Min. 5 Min.

  • Short lecture
  • FGB-FG06

  Identification of modulators of microbial abundances based on genome-scale metabolic modelling

  • Dr. Georgios Marinos (Kiel, DE)

   Computational microbiology
• 19:00 – 19:15 10 Min. 5 Min.

  • Short lecture
  • FGB-FG07

  Technological advances and synthetic yeast for the next level of genome investigation

  • Dr. Daniel Schindler (Marburg, DE)

   Systems and synthetic microbiology
• 19:15 – 19:30 10 Min. 5 Min.

  • Short lecture
  • FGB-FG08

  Application of high-throughput sequencing technologies for comprehensive analysis of bacterial genome methylation and epigenetics in the model bacterium Helicobacter pylori

  • Prof. Christine Josenhans (München, DE)

   Systems and synthetic microbiology