Artificial Intelligence in Bioinformatics and -omics

Citation

Tan, Joon Liang and Yow, Li Wen (2025) Artificial Intelligence in Bioinformatics and -omics. In: The Smart Life Revolution. CRC Press, pp. 219-244. ISBN 978-104036402-4, 978-103283405-4

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Abstract

Integration of Artificial Intelligence in bioinformatics has been observed for at least two decades. The continuous efforts in bioinformatics, especially the Next Generation Sequencing, have led to a significant growth in the amount and size of data available in public databases. This has shifted the trends from traditional hypothesis-driven to data-driven -omics (big data in biology) research. Consequently, the role of Artificial Intelligence has become more prominent, covering a wider scope in bioinformatics, including precision medicine, public health, agriculture and many other domains. Utilising AI and big data to their fullest potential is essential for shaping the future of bioinformatics and data science, unlocking the potential of -omics technologies. This chapter explores the roles of Artificial Intelligence in -omics research.

Item Type: Book Section
Uncontrolled Keywords: Bioinformatics
Subjects: Q Science > QH Natural history
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 26 Jun 2025 07:25
Last Modified: 26 Jun 2025 07:25
URII: http://shdl.mmu.edu.my/id/eprint/14108

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