A wellness study of 108 individuals using personal, dense, dynamic data clouds

We collected personal, dense, dynamic data for 108 individuals over 9 months, including whole genome sequence; clinical tests, metabolomes, proteomes and microbiomes at three time points; and daily activity tracking. Using these data we generated a correlation network and identified communities of r...

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Detalles Bibliográficos
Autores principales: Price, Nathan D., Magis, Andrew T., Earls, John C., Glusman, Gustavo, Levy, Roie, Lausted, Christopher, McDonald, Daniel T., Kusebauch, Ulrike, Moss, Christopher L., Zhou, Yong, Qin, Shizhen, Moritz, Robert L., Brogaard, Kristin, Omenn, Gilbert S., Lovejoy, Jennifer C., Hood, Leroy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568837/
https://www.ncbi.nlm.nih.gov/pubmed/28714965
http://dx.doi.org/10.1038/nbt.3870

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568837/
https://www.ncbi.nlm.nih.gov/pubmed/28714965
http://dx.doi.org/10.1038/nbt.3870

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