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Big Data Analysis Techniques for Visualization of Genomics in Medicinal Plants
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Author(s): Hithesh Kumar (Siddaganga Institute of Technology, India), Vivek Chandramohan (Siddaganga Institute of Technology, India), Smrithy M. Simon (Siddaganga Institute of Technology, India), Rahul Yadav (Siddaganga Institute of Technology, India)and Shashi Kumar (GenEclat Technologies, India)
Copyright: 2018
Pages: 33
Source title:
Handbook of Research on Big Data Storage and Visualization Techniques
Source Author(s)/Editor(s): Richard S. Segall (Arkansas State University, USA)and Jeffrey S. Cook (Independent Researcher, USA)
DOI: 10.4018/978-1-5225-3142-5.ch026
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Abstract
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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