The Role of Computer Science based on Industry 5.0 in Bioinformatics

Authors

  • S. Jansi Assistant Professor, Department of Computer Applications, Madanapalle Institute of Technology & Science, Madanapalle, Andhra Pradesh.
  • Priya Bonte Assistant Professor, Department of Animation & Gaming, Ajinkya D Y Patil University, Pune.
  • S. Raja Assistant Professor, Department of Computer Science and Engineering, Panimalar Engineering College, Chennai 600123.
  • Rama Krishna Yellapragada Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram - 522302.
  • K. B. Kishore Mohan Associate Professor, Department of Biomedical Engineering, Saveetha Engineering College, Chennai.

Keywords:

Computer algorithms, Industry 5.0, bioinformatics, computer scientists, big data

Abstract

The term "Industry 5.0" was created to address personalized production and the empowerment of humans in manufacturing processes, as Industry 4.0 was unable to meet the increasing need for customization. There are differing opinions about what Industry 5.0 is and what comprises the reconciliation of humans and robots from the term's inception. This provides the driving force behind this paper's identification and analysis of the numerous topics and research trends surrounding Industry 5.0's use of text mining tools and methodologies. The purpose of this paper is to familiarize computer science with the emerging discipline of bioinformatics. The requirement for biologists to make use of and contribute to the interpretation of the enormous volumes of data generated by genomic research—and its more contemporary offshoots, proteomics, and functional genomics—has given rise to this field. The article offers a broad overview of the fundamental ideas in molecular cell biology, defines the types of computer algorithms and methodologies required to comprehend cell behavior, and describes the nature of the data that is now available. There is a lot of overlap regarding the function of computer science despite these distinctions. In addition to comparing different strategies, this research highlights some of the inherent difficulties and explores how computer science has been included in these two undergraduate bioinformatics programs.

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References

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Published

24.03.2024

How to Cite

Jansi, S. ., Bonte, P. ., Raja, S. ., Yellapragada, R. K. ., & Mohan, K. B. K. . (2024). The Role of Computer Science based on Industry 5.0 in Bioinformatics. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 894–902. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5332

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Research Article

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