Preprint Article Version 1 This version is not peer-reviewed

Bioinformatics and Computational Biology: Exploring the Role of Biomathematics in Bioinformatics, Including the Analysis of Biological Data and the Development of Computational Tools

Version 1 : Received: 2 November 2024 / Approved: 7 November 2024 / Online: 8 November 2024 (10:28:17 CET)

How to cite: Olushola, A.; Adesiyan, A.; Ojo, T.; Alao, V. Bioinformatics and Computational Biology: Exploring the Role of Biomathematics in Bioinformatics, Including the Analysis of Biological Data and the Development of Computational Tools. Preprints 2024, 2024110570. https://doi.org/10.20944/preprints202411.0570.v1 Olushola, A.; Adesiyan, A.; Ojo, T.; Alao, V. Bioinformatics and Computational Biology: Exploring the Role of Biomathematics in Bioinformatics, Including the Analysis of Biological Data and the Development of Computational Tools. Preprints 2024, 2024110570. https://doi.org/10.20944/preprints202411.0570.v1

Abstract

This study explores the intersection of bioinformatics, computational biology, and biomathematics, focusing on how mathematical models are applied to analyze biological data and develop computational tools. This study highlights the foundational role of biomathematics in biological research including genomics, proteomics, and systems biology. Key areas of focus include the use of statistical models, algorithms, and simulations to create computational tools to aid in data interpretation and drug discovery. Additionally, this paper delves into emerging trends such as artificial intelligence, machine learning, and big data in bioinformatics. By analyzing case studies and real-world applications, this study underscores the significance of biomathematics in advancing biological sciences and the potential for future innovations in personalized medicine and interdisciplinary approaches.

Keywords

Bioinformatics; computational biology; biomathematics; mathematical models; biological data analysis; computational tools; genomics; proteomics; systems biology; drug discovery

Subject

Computer Science and Mathematics, Mathematical and Computational Biology

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