1ICAR-National Institute for Plant Biotechnology, New Delhi-110 012, India
2International Crops Research Institute for the Semi-Arid Tropics, Hyderabad-502 324, Telangana, India
3ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110 012, India
4ICAR-Indian Institute of Soil and Water Conservation, Dehradun-248 195, Uttarakhand, India
*Corresponding Author: Shbana Begam, ICAR-National Institute for Plant Biotechnology, New Delhi-110 012, India. Email: shaba.shb@gmail.com
Online published on 27 July, 2022.
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.
Bioinformatics tools, Bioinformatics, Data mining, Protein sequences analysis
