药用植物基因组可视化的大数据分析技术

Hriday Kumar, V. Chandramohan, Smrithy M. Simon, R. Yadav, Sunil Kumar
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引用次数: 0

摘要

本章全面概述了大数据分析在医疗保健行业、临床信息学、个性化医疗、生物信息学等领域的应用。本章将讨论用于大数据分析的主要工具和数据库。测序机的发展使得我们能够在短短几个小时内快速有效地生成DNA、RNA、全基因组数据、转录组学数据等。本章讨论了完整的药用植物下一代测序(NGS)大数据分析工作流程。本章介绍了下一代测序中的大数据分析,并总结了本书其余章节的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Analysis Techniques for Visualization of Genomics in Medicinal Plants
In this chapter, the complete overview and application of Big Data analysis in the field of health care industries, Clinical Informatics, Personalized Medicine and Bioinformatics is provided. The major tools and databases used for the Big Data analysis are discussed in this chapter. The development of sequencing machines has led to the fast and effective ways of generating DNA, RNA, Whole Genome data, Transcriptomics data, etc. available in our hands in just a matter of hours. The complete Next Generation Sequencing (NGS) huge data analysis work flow for the medicinal plants are discussed in the chapter. This chapter serves as an introduction to the big data analysis in Next Generation Sequencing and concludes with a summary of the topics of the remaining chapters of this book.
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