Data Mining in Genomics and Proteomics for a New Era of Computational Biology

S. Daefler
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Abstract

Data mining refers to the processes of discovering large data sets which involves the methods of intersection of statistics, Data base systems and machine learning. Genomics refers to the study of structure, function, evolution, and mapping of genomes. Proteomics refers to study of proteins as proteins are the essential things for the growth of function and growth of living organisms. Data Mining in Genomics and proteomics correlates the interface of computer science along with the biological aspects which paves an easy and essential way for future biological researchers throughout the world.
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计算生物学新时代的基因组学和蛋白质组学数据挖掘
数据挖掘是指发现大型数据集的过程,涉及统计学、数据库系统和机器学习的交叉方法。基因组学是指对基因组的结构、功能、进化和定位的研究。蛋白质组学是指对蛋白质的研究,因为蛋白质是生物体功能生长和生长所必需的物质。基因组学和蛋白质组学中的数据挖掘将计算机科学与生物学方面的接口联系起来,为未来世界各地的生物学研究人员铺平了一条简单而重要的道路。
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