The CAME workshop provides a forum for presentation and discussion of the latest computational research in molecular epidemiology. This multidisciplinary workshop will bring together field practitioners of molecular epidemiology, molecular evolutionists, population geneticists, medical researchers, bioinformaticians, statisticians and computer scientists interested in the latest developments in algorithms, mining, visualization, modeling, simulation and other methods of computational, statistical and mathematical analysis of genetic and molecular data in the epidemiological context.
Molecular epidemiology is essentially an integrative scientific discipline that considers molecular biological processes in specific epidemiological settings. It relates molecular biological events to etiology, distribution and prevention of disease in human populations. Over years, molecular epidemiology became extensively fused with mathematical and computational science and immensely benefitted from this tight association. The workshop will review the latest advancements in application of mathematical and computational approaches to molecular epidemiology.
Workshop topics of interest include but are not limited to:
Evaluation of viral populations
Computational support for disease surveillance
Identification of pathogen transmission events
Transmission networks
Pathogen evolution
Identification of novel markers of disease
Population dynamics and drug-resistance
Aug 20
2017
Conference Date
Registration deadline
2016-10-13 United States Atlanta,USA
5th Workshop on Computational Advances in Molecular Epidemiology2014-06-02 United States
3 rd Workshop on Computational Advances in Molecular Epidemiology (CAME 2014)
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