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:
● Analysis of mass spectrometry data
● Evaluation of viral quasispecies
● 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
10月13日
2016
10月14日
2016
注册截止日期
2017年08月20日 美国 Boston
2017第六届分子流行病学计算进展研讨会2014年06月02日 美国
第三届分子流行病学计算研究进展研讨会
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