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Introduction

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.

Call for paper

Submission Topics

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

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Important Date
  • Conference Date

    Oct 13

    2016

    to

    Oct 14

    2016

  • Oct 14 2016

    Registration deadline