Published in BioRxiv, 2022
A preprint describing our work on developing a pipeline for the generation of a graph database for epidemiologic surveillance.
Recommended citation: Garrick Stott, Leke Lyu, Gabriella Veytsel, Jacky Kuo, Ryan Lewis, Armand Brown, Kayo Fujimoto, Justin Bahl. Phylogeny and Metadata Network Database for Epidemiologic Surveillance. bioRxiv 2022.04.19.488067
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Published in Scientific Reports, 2023
This paper uses our preprint, Phylogeny and Metadata Network Database for Epidemiologic Surveillance, to investigate the scale-free network assumption in the context of local molecular clusters.
Recommended citation: Fujimoto, K., Kuo, J., Stott, G. et al. Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19. Sci Rep 13, 21861 (2023).
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Published:
A poster with work in progress on a graph database which combines multiple data layers related to epidemiology.
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A poster demonstrating work in progress on a subsampling tool which helps make more informed choices in phylodynamic analysis.
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Presentation on my subsampling work. Investigating alternative downsampling methods and how subsampling strategies impact phylodynamic estimates. Link to slide deck…
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A brief introduction to Nextflow, Conda, and Docker for biostatisticians and epidemiologists at UGA. A case example taken from an REU mentee, Victoria, is included to demonstrate how Nextflow can be used in a research project. Link to slide deck…