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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Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2012
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Article
Online Zugang: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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