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Applications of Data Mining in the Bioinformatics Field: A Review

DOI: 10.18805/BKAP428    | Article Id: BKAP428 | Page : 121-125
Citation :- Applications of Data Mining in the Bioinformatics Field: A Review.Bhartiya Krishi Anusandhan Patrika.2022.(37):121-125
Shbana Begam, Subhrajit Satpathy, Samarth Godara, Sapna Nigam, Akshay Dheeraj, I. Yuvaraj, Md. Ashraful Haque, Sanchita Naha shaba.shb@gmail.com
Address : ICAR-National Institute for Plant Biotechnology, New Delhi-110 012, India.
Submitted Date : 10-01-2022
Accepted Date : 28-05-2022

Abstract

The next generation sequencing (NGS) technology generates a large amount of genomic data. Bioinformatics has made it a priority to deal with genomic data in all of its forms. The main focus of this article is on the use of data mining in bioinformatics. The processing flow of bioinformatics data is depicted using a summary of the definition and relevant research contents of bioinformatics. Then emphatically introduces data mining from the perspective of data preprocessing, dimension reduction and statistical machine learning in bioinformatics. The use of data mining in the field of bioinformatics is discussed. It also discusses some of the current obstacles and prospects in bioinformatics data mining.

Keywords

Bioinformatics tools Bioinformatics Data mining Protein sequences analysis

References

  1. Diniz, W.J.D.S. and Canduri, F. (2017). Bioinformatics: An overview and its applications. Genet. Mol. Res. 16(1): 10-4238.
  2. Fulekar, M.H. (Ed.). (2009). Bioinformatics: Applications in Life and Environmental Sciences. Springer Science and Business Media.
  3. Gaur, L., Solanki, A., Wamba, S.F. and Jhanjhi, N.Z. (Eds.). (2021). Advanced AI Techniques and Applications in Bioinformatics. CRC Press.
  4. Mining, D. (2011). What is Data Mining. J. Frand’s web page at UCLA page (available from www. Anderson. UCLA. edu/faculty/json. frand/teacher/technologies/palace/ data mining. htm)–visited on, 29(05).
  5. Raza, K. (2012). Application of Data Mining in Bioinformatics. arXiv Preprint arXiv:1205.1125.
  6. Lesk, A. (2019). Introduction to Bioinformatics. Oxford University Press.
  7. Yuan, M. (2016). Study on the Application of Data Mining in Bioinformatics. Advances in Engineering Research. https://doi.org/10.2991/icmeit-16.2016.21.

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