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"Metagenomic Surveillance" | Prof. Dr. Folker Meyer (University Hospital Essen)

HeiCADLectures

New opportunities for monitoring viruses and bacteria in human populations by combining wastewater-based ecology, genomics and computational approaches

Abstract:

Genomics tools are being used to assist with the current pandemic (i.e., wastewater-based covid surveillance) by determining viral loads in wastewater, which allows effectively sampling thousands of individuals. Here, I present a vision for extending such surveillance to various dimensions, by proposing an approach that combines genomics and computational approaches to include multiple viral and bacterial lineages as well as antibiotic resistance clusters. Specifically, I discuss the current challenges and opportunities of applying high-resolution, high-fidelity genomic surveillance of Viruses and Bacteria.

CV:

Folker Meyer is Professor of Data Science at the University of Duisburg-Essen. His research interest include data science, microbiome science, microbial genomics, microbial ecology as well as distributed and cloud computing.

Meyer was a computational biologist at Argonne National Laboratory, a Professor of Bioinformatics at the Department of Medicine, University of Chicago and a senior fellow at the Computation Institute at the University of Chicago.

He trained as a computer scientists and started to work with biologists early on in his career. It was that exposure to interesting biological problems that sparked his interest in building software systems to tackle biological problems, mostly in the field of genomics or post-genomics. In the past he has been best known for his leadership role in the development of the GenDB genome annotation system, he has also played an active role in the design and implementation of several high-performance computing platforms.

To attend the online lecture, please go to the lecture room via the following link:

https://hhu.webex.com/hhu/j.php?MTID=mfd0944c6ddde519cd747ecfe8cf4f374

 

Veranstaltungsdetails

16.03.2022, 17:30 Uhr - 19:00 Uhr
Verantwortlichkeit: