Okamoto Lab: Computational Biology Research
September 20, 2017 /
- Integrating theory and data to elucidate eco-evolutionary dynamics
- Evolutionary epidemiology
- The evolution of interspecific interference competition
- Host-pathogen coevolution in spatially-structured environments
- Applying high performance computing to forecast eco-evolutionary dynamics in multispecies communities
- The eco-evolutionary consequences of interspecific aggression
- Okamoto, K. W. and P. Amarasekare. A framework for high-throughput eco-evolutionary simulations integrating multilocus forward-time population genetics and community ecology. In press, Methods in Ecology and Evolution
- Okamoto, K. W., F. Gould and A. L. Lloyd. Integrating transgenic vector manipulation with clinical interventions to manage vector-borne diseases. 2016. PLoS Computational Biology 12:e1004695.
- B. R. Wasik, Andrés R. Muñoz-Rojas, K. W. Okamoto, K. Miller-Jensen and P. E. Turner. 2016. Generalized selection to overcome innate immunity selects for host breadth in an RNA virus. Evolution 2016 70:270-81
- Okamoto, K. W. , R. B. Langerhans, R. Rashid and P. Amarasekare. 2015. Microevolutionary patterns in the common caiman predict macroevolutionary trends across extant crocodilians. Biological Journal of the Linnean Society . 116:834-846.
- Grether, G. F., N. Losin, C. N. Anderson, and K. Okamoto . 2009. The role of inter- specific interference competition in character displacement and the evolution of competitor recognition. Biological Reviews 84:617-635.