Application of Advanced Artificial Intelligence Techniques in Bioinformatics
Authors
Huixing Li1, 2, *, Yan Xue1, 2, Xiancai Zeng1, 2
1Henan Key Laboratory of Industrial Microbial Resources and Fermentation Technology, Nanyang Institute of Technology, Nanyang, 473004, Henan, China
2School of Biological and Chemical Engineering, Nanyang Institute of Technology, Nanyang, 473004, Henan, China
*Corresponding author.
Email: lihuixing@nyist.edu.cn
Corresponding Author
Huixing Li
Available Online 12 December 2022.
- DOI
- 10.2991/978-94-6463-024-4_130How to use a DOI?
- Keywords
- Artificial Intelligence; Bioinformatics; application
- Abstract
The flexible application of computer technology in the development process of biology can effectively promote the innovative development of the discipline, improve the shortcomings of the discipline itself. It also promotes people to strengthen the cognition of bioinformatics through computing technology, and then give full play to the role of the technology itself to meet the needs of the current era. This paper is based on experience to conduct a detailed analysis and review on the application of computer technology in bioinformatics for the reference of relevant staff.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Huixing Li AU - Yan Xue AU - Xiancai Zeng PY - 2022 DA - 2022/12/12 TI - Application of Advanced Artificial Intelligence Techniques in Bioinformatics BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 1259 EP - 1264 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_130 DO - 10.2991/978-94-6463-024-4_130 ID - Li2022 ER -