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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
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 |
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