Computational Biology of Infection Research

The Department of “Computational Biology for Infection Research” studies the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients by analysis of large-scale biological and epidemiological data sets with computational techniques. Focusing on high throughput meta’omics, population genomic and single cell sequencing data, we produce testable hypotheses, such as sets of key sites or relevant genes associated with the presence of a disease, of antibiotic resistance or pathogenic evasion of immune defense. We interact with experimental collaborators to verify our findings and to promote their translation into medical treatment or diagnosis procedures. To achieve its research goals, the department also develops novel algorithms and software.

Leader

Seminar: Graph Theory

The seminar "Graph Theory" is hosted by the department "Computational Biology of Infection Research" at the HZI headed by Prof. Alice McHardy.

  • Kick-off Meeting: Tuesday, 02.04.2019, 10am
  • Room Kick-off Meeting: BRICS, room 207
  • Date: one day at the end of semester break
  • Room seminar: tba
  • Max. number of participants: 10
  • Language: English
  • Modus: 30 minutes of presentation (with discussion) + 3-5 pages summary
  • Designated for Bachelor and Master Students of Computer Science

In case you have questions about the seminar, feel free to contact Adrian Fritz.

Description

Even though it is called Graph “Theory”, the topic is anything but grey: Graphs can be used to describe and solve problems in virtually all scientific disciplines, from social sciences to physics, from biology to geology as well as just the pure math.

In this Seminar you will not only learn about the basic vocabulary and algorithms in Graph Theory but also about the currently biggest and partly still unsolved problems in Graph Theory and how they might apply to your everyday life; or at least your degree.

Topics available

  • Graph Theory Basics
  • Graph Theory and Graph Praxis
  • Graph Theory and the difference between a bioinformatician and google
  • Graph Theory, hard problems and the One Million Dollar question
  • Graph visualisation
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