E3S Web Conf.
Volume 267, 20217th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)
|Number of page(s)||4|
|Section||Energy Development and Utilization and Energy-Saving Technology Application|
|Published online||04 June 2021|
Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics
1 Henan Key Laboratory of Industrial Microbial Resources and Fermentation Technology, Nanyang Institute of Technology, Nanyang, Henan 473004, China
2 School of Biological and Chemical Engineering, Nanyang Institute of Technology, Nanyang, Henan 473004, China
a* Corresponding author’s e-mail: Lihuixing@nyist.edu.cn
Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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