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Genomics 3.0: Big-Data in Precision Medicine

机译:基因组学3.0:精准医学中的大数据

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The Human genome project transformed biology and pharmacology into a computational, mathematical, and big-data science. In this paper we dissect the science and technology of big-data transla-tional genomics and precision medicine - we present various components of this complex Genomics 3.0 science. We also identify diverse idiosyncrasies of big-data with respect to application of computer algorithms and mathematics in genomics. We discuss the 7Vs of big-data in biology; we discuss genomic data and its relevance with respect to formal database systems. Genomics big-data analysis is a combination of top-down, bottom-up, and middle-out approaches with all the constituent parts integrated into a single system through complex meta-analysis. Finally, we present two big-data platforms iOMICS and DiscoverX. iOMICS platform is deployed at Google cloud for translational genomics; whereas, DiscoverX is deployed at Amazon Web Services for precision medicine.
机译:人类基因组计划将生物学和药理学转变为计算,数学和大数据科学。在本文中,我们剖析了大数据转换基因组学和精密医学的科学技术-我们介绍了这一复杂的基因组学3.0科学的各个组成部分。关于计算机算法和数学在基因组学中的应用,我们还确定了大数据的各种特征。我们讨论了生物学中大数据的7V;我们讨论了基因组数据及其与正式数据库系统的相关性。基因组学大数据分析是自上而下,自下而上和中出方法的组合,所有组成部分均通过复杂的荟萃分析集成到单个系统中。最后,我们介绍了两个大数据平台iOMICS和DiscoverX。 iOMICS平台已部署在Google云中用于翻译基因组学;相反,DiscoverX部署在Amazon Web Services上用于精确医学。

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