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International Conference on Advanced Informatics for Computing Research

ICAICR 2018: Advanced Informatics for Computing Research pp 98–107Cite as

Big Data Analytics in Ralstonia solanacearum Genomics

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 955))

Abstract

Ralstonia solanacearum is a phyto pathogen that causes bacterial wilt disease. The pathogen is widely spread throughout the globe infecting over 200 species in about 50 plant families. It is a soil borne phyto-pathogen. This species complex consists of thousands of different strains of bacterial pathogens with a very vast range of plant hosts from banana, potato, brinjal to tomato, tobacco and olives. The strains with genetic variations have been divided into four phylotypes: phylotype I, phylotype II A and II B, phylotype III, and phylotype IV. The pathogen is extremely difficult to combat as there is no effective control method. Rapid progress in high throughput whole genome sequencing technology has contributed towards generating enormous amount of Big data. Genomics revolution has provided whole genome sequence data of several strains of Ralstonia and techniques from Big data analytics, contributed to remarkable progress in the field of Ralstonia genomics. Big data analytics is widely used in different research fields due to its efficiency and effectiveness. This paper discusses the outcomes and advantages of Big data analytics in the field of Ralstonia genomics.

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Author information

Authors and Affiliations

  1. Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, 201301, India

    Shivani Chandra, Alka Grover & Piyush Garg

  2. School of Life Sciences, Starex University, Gurugram, India

    Shalini Jauhari

Authors
  1. Shivani Chandra
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  2. Alka Grover
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  3. Piyush Garg
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  4. Shalini Jauhari
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Corresponding author

Correspondence to Shivani Chandra .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

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Chandra, S., Grover, A., Garg, P., Jauhari, S. (2019). Big Data Analytics in Ralstonia solanacearum Genomics. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_10

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  • DOI: https://doi.org/10.1007/978-981-13-3140-4_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3139-8

  • Online ISBN: 978-981-13-3140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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