The fight against the Covid-19 epidemic has yet again shown how important AI techniques can be for biology and medicine. In this year’s edition of the Current Topics in Bioinformatics we thus want to focus on applications of bioinformatics, data science and modeling in infectious disease and, in particular, for understanding and fighting Covid-19. A wide range of techniques are currently contributing to this. On the molecular level, classical bioinformatics techniques like phylogeny construction and protein engineering are important. Dynamical and stochastic modeling are key to understanding the spread of the disease. Data science is needed to make sense from the plethora of indicators that are being collected, be it in the clinic or on a societal level. The workshop will highlight several aspects of this interplay of disciplines.
Steering Committee & Cluster Health Capital
Topic: Network modelling for infectious diseases
Dirk Brockmann, Humboldt-Universität zu Berlin & Robert Koch Institut
Building large virus phylogenies using serially sampled genomes
Prabhav Kalaghtagi, Max Planck Institute for Molecular Genetics
SARS-CoV-2 infection dynamics revealed by wastewater sequencing analysis and deconvolution
Altuna Akalin, Max Delbrueck Center for Molecular Medicine (MDC)
Data science for COVID research and in policy design
Max von Kleist, Robert Koch Institut
-> Call for pitches
Are you working in the field of bioinformatics and want to present your R&D in a 3-4 min pitch during this conference? Please write an email to firstname.lastname@example.org and describe your research in 2-5 sentences until May 31st 2022.
Topic: Vaccine development
Hannoversche Str. 28, 10115 Berlin