Alex Zelikovsky | High-Throughput Sequencing Applications to Molecular Epidemiology | CGSI 2016

07/19/2016 @ 15:15-16:00
Tutorial by Alex Zelikovsky
High-Throughput Sequencing Applications to Molecular Epidemiology
1. Wertheim, J.O., Brown, A.J.L., Hepler, N.L., Mehta, S.R., Richman, D.D., Smith, D.M. and Pond, S.L.K., 2014. The global transmission network of HIV-1. Journal of Infectious Diseases, 209(2), pp.304-313.
2. Jombart, T., Cori, A., Didelot, X., Cauchemez, S., Fraser, C. and Ferguson, N., 2014. Bayesian reconstruction of disease outbreaks by combining epidemiologic and genomic data. PLoS Comput Biol, 10(1), p.e1003457.
3. Artyomenko, A., Wu, N.C., Mangul, S., Eskin, E., Sun, R. and Zelikovsky, A., 2016, April. Long single-molecule reads can resolve the complexity of the Influenza virus composed of rare, closely related mutant variants. In International Conference on Research in Computational Molecular Biology (pp. 164-175). Springer International Publishing.
4. Skums, P., Artyomenko, A., Glebova, O., Ramachandran, S., Mandoiu, I., Campo, D.S., Dimitrova, Z., Zelikovsky, A. and Khudyakov, Y., 2014. Computational framework for next-generation sequencing of heterogeneous viral populations using combinatorial pooling. Bioinformatics, p.btu726.
5. GHOST Makes Connections in Hepatitis C Virus Transmission. Web resource. Page last updated: October 16, 2015. Centers for Disease Control and Prevention.