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Bhartiya Krishi Anusandhan Patrika, volume 36 issue 1 (march 2021) : 25-28

Next Generation Sequencing Data Analysis and its Applications in Agriculture

Shbana Begum, Rahul Banerjee
1ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa-110 012, New Delhi, India.

  • Submitted15-02-2021|

  • Accepted16-06-2021|

  • First Online 26-06-2021|

  • doi 10.18805/BKAP265

Cite article:- Begum Shbana, Banerjee Rahul (2021). Next Generation Sequencing Data Analysis and its Applications in Agriculture. Bhartiya Krishi Anusandhan Patrika. 36(1): 25-28. doi: 10.18805/BKAP265.

ABSTRACT

Next Generation sequencing (NGS) technologies are revolutionizing the acquisition of genomic data at relatively low cost. NGS technologies are rapidly changing approaches to complex genomic studies and generating a vast amount of data. New and more powerful bioinformatics proposals and tools are needed to handle such large biological collections of such huge amounts of data provided by NGS data analysis. In addition, specialized software tools and advanced computational resources are required for data integration. In this article, we are describing here the main computational approach for next generation sequencing data analysis and its role in agriculture for crop improvement.

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