CAME 2020

9th Workshop on Computational Advances in Molecular Epidemiology

(in conjunction with ACM BCB 2020, Virtual due to COVID-19 September 21, 2020)

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
  • NEW: A special Session devoted to COVID-19
This meeting is by invitation only. If you would like to inquire about the possibility of being invited, please contact the workshop chairs by July 15, 2020. Speakers at the workshop will be invited to submit full length articles to Special Issues of BMC Bioinformatics
Yury Khudyakov (Centers for Disease Control and Prevention,
Ion Mandoiu (University of Connecticut,
Pavel Skums (Georgia State University,
Alex Zelikovsky (Georgia State University,