The 8th Workshop on Computational Advances in Molecular Epidemiology will be held in Niagara Falls, NY on September 7, 2019. The workshop, held in conjunction with the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, brings 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.

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

For more details see the workshop website at http://alan.cs.gsu.edu/came19/.

Following the successful first edition of the Workshop on Computational Advances for Single-Cell Omics Data Analysis (CASCODA), held on Oct. 18, 2018 in conjunction with the 8th IEEE International Conference on Computational Advances in Bio and Medical Sciences, a special issue will be devoted to this topic by the Genes journal.

Research articles, review articles as well as short communications are invited. Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until January 15, 2019. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. For full details, see the special issue page.