Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

Personalized medicine is expected to benefit from combining genomic information with regular monitoring of physiological states by multiple high-throughput methods. Here we present an integrative Personal Omics Profile (iPOP), an analysis that combines genomic, transcriptomic, proteomic, metabolomic...

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Detalhes bibliográficos
Main Authors: Chen, Rui, Mias, George I., Li-Pook-Than, Jennifer, Jiang, Lihua, Lam, Hugo Y. K., Chen, Rong, Miriami, Elana, Karczewski, Konrad J., Hariharan, Manoj, Dewey, Frederick E., Cheng, Yong, Clark, Michael J., Im, Hogune, Habegger, Lukas, Balasubramanian, Suganthi, O'Huallachain, Maeve, Dudley, Joel T., Hillenmeyer, Sara, Haraksingh, Rajini, Sharon, Donald, Euskirchen, Ghia, Lacroute, Phil, Bettinger, Keith, Boyle, Alan P., Kasowski, Maya, Grubert, Fabian, Seki, Scott, Garcia, Marco, Whirl-Carrillo, Michelle, Gallardo, Mercedes, Blasco, Maria A., Greenberg, Peter L., Snyder, Phyllis, Klein, Teri E., Altman, Russ B., Butte, Atul, Ashley, Euan A., Nadeau, Kari C., Gerstein, Mark, Tang, Hua, Snyder, Michael
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3341616/
https://ncbi.nlm.nih.gov/pubmed/22424236
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cell.2012.02.009
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