Big Data Analytics in Bioinformatics

D. Patel
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引用次数: 4

Abstract

Voluminous data are being generated by various means. The Internet of Things (IoT) has emerged recently to group all manmade artificial things around us. Due to intelligent devices, the annual growth of data generation has increased rapidly, and it is expected that by 2020, it will reach more than 40 trillion GB. Data generated through devices are in unstructured form. Traditional techniques of descriptive and predictive analysis are not enough for that. Big Data Analytics have emerged to perform descriptive and predictive analysis on such voluminous data. This chapter first deals with the introduction to Big Data Analytics. Big Data Analytics is very essential in Bioinformatics field as the size of human genome sometimes reaches 200 GB. The chapter next deals with different types of big data in Bioinformatics. The chapter describes several problems and challenges based on big data in Bioinformatics. Finally, the chapter deals with techniques of Big Data Analytics in the Bioinformatics field.
生物信息学中的大数据分析
通过各种方式产生了大量的数据。最近出现了物联网(IoT),它将我们周围的所有人造物体组合在一起。由于智能设备的出现,数据生成的年增长率快速增长,预计到2020年将达到40万亿GB以上。设备生成的数据是非结构化的。传统的描述性和预测性分析技术是不够的。大数据分析的出现是为了对如此庞大的数据进行描述性和预测性分析。本章首先介绍大数据分析。大数据分析在生物信息学领域是非常重要的,因为人类基因组的大小有时达到200gb。下一章将讨论生物信息学中不同类型的大数据。本章描述了生物信息学中基于大数据的几个问题和挑战。最后,本章讨论了生物信息学领域的大数据分析技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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