Cargando…
Supersize me: how whole-genome sequencing and big data are transforming epidemiology
In epidemiology, the identification of ‘who infected whom’ allows us to quantify key characteristics such as incubation periods, heterogeneity in transmission rates, duration of infectiousness, and the existence of high-risk groups. Although invaluable, the existence of many plausible infection path...
Autores principales: | Kao, Rowland R., Haydon, Daniel T., Lycett, Samantha J., Murcia, Pablo R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125769/ https://www.ncbi.nlm.nih.gov/pubmed/24661923 http://dx.doi.org/10.1016/j.tim.2014.02.011 |
Ejemplares similares
-
Supersized lipid droplets
por: Leslie, Mitch
Publicado: (2008) -
Big Biology: Supersizing Science During the Emergence of the 21st Century
por: Vermeulen, Niki
Publicado: (2016) -
Mouse chromosomes get supersized but find their limits
por: Truong, David M
Publicado: (2022) -
Supersized Ribosomal RNA Expansion Segments in Asgard Archaea
por: Penev, Petar I, et al.
Publicado: (2020) -
Is Supersize More than Just Too Much Food?
por: Birnbaum, Linda S.
Publicado: (2012)