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VAAM 2023
Programm
Poster
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Short lecture
Short Lecture 5
Computational microbiology
Termin
Datum:
11.09.2023
Zeit:
08:30
–
10:30
Ort / Stream:
EG | 005
Chair
Professor Johannes Söding
München, DE
Dr. Heiko Liesegang
Göttingen, DE
Programm
08:30
–
08:45
12 Min.
3 Min.
Short lecture
CM01
Cross-link aided modeling of protein-RNA complexes
Dr. Piotr Neumann (Göttingen, DE)
Computational microbiology
08:45
–
09:00
12 Min.
3 Min.
Short lecture
CM02
Bacterial nanomotions, combined with supervised machine learning, accurately classify antibiotic susceptibility
Dr. Alexander Sturm (Muttenz, CH)
Computational microbiology
09:00
–
09:15
12 Min.
3 Min.
Short lecture
CM03
Methylome evolution through lineage-dependent selection in the gastric pathogen
Helicobacter pylori
Dr. Florent Ailloud (Muenchen, DE)
Computational microbiology
09:15
–
09:30
12 Min.
3 Min.
Short lecture
CM04
An artificial intelligence tool for lactic acid bacterial species identification
Sebastian Fischer (Münster, DE)
Computational microbiology
09:30
–
09:45
12 Min.
3 Min.
Short lecture
CM05
Application of SERS technique and deep learning algorithms in the rapid differentiation of four Shigella species
A/Prof., Dr. Liang Wang (Guangzhou, CN)
Computational microbiology
09:45
–
10:00
12 Min.
3 Min.
Short lecture
CM06
National research data infrastructure for the research of microbiota (NFDI4Microbiota) – Democratize access to microbiota data and high-end computational analyzes
Barbara Götz (Cologne, DE)
Open topics
10:00
–
10:15
12 Min.
3 Min.
Short lecture
CM07
Effect of seasonality on microbial community dynamics in a full-scale wastewater treatment plant in Göttingen, Germany
Dr. Bharat Manna (Auckland, NZ)
Computational microbiology
10:15
–
10:30
12 Min.
3 Min.
Short lecture
CM08
Recent updates on Bakta – A rapid & standardized software tool for the comprehensive annotation of bacterial genomes
Dr. Jochen Blom (Giessen, DE)
Computational microbiology
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