Panomics for Precision Medicine.

Panomics for Precision Medicine.
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DOI:
10.1016/j.molmed.2017.11.001
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发表时间:
2018-01
影响因子:
13.6
通讯作者:
Emili A
Emili A
中科院分区:
医学1区
文献类型:
--
作者:
Sandhu C;Qureshi A;Emili A

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医学正准备进行数字化转型。高通量平台正在创建数TB的基因组学、转录组学、蛋白质组学和代谢组学数据。挑战在于以有意义的方式解释这些数据:揭示分子谱与健康或疾病状态之间不明显的关系。这将需要开发新的数据管道和计算工具。多维数据的组合分析被称为“全组学”。整合泛组学的最终希望是发现和应用新的标志物和靶向治疗方法,推动“精准医学”的新时代,在患者治疗中考虑个体间的差异。
Medicine is poised to undergo a digital transformation. High throughput platforms are creating terabytes of genomic, transcriptomic, proteomic and metabolomic data. The challenge is to interpret these data in a meaningful manner: to uncover relationships that are not readily apparent between molecular profiles and states of health or disease. This will require the development of novel data pipelines and computational tools. The combined analysis of multi-dimensional data is referred to as ‘panomics’. The ultimate hope of integrative panomics is to lead to the discovery and application of novel markers and targeted therapeutics that drive forward a new era of ‘Precision Medicine’ where inter-individual variation is accounted for in the treatment of patients.
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