AccScience Publishing / MI / Online First / DOI: 10.36922/mi.5077
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PERSPECTIVE ARTICLE

Mx. BIOME: A bioinformatics and big data analysis platform in a data explosion era

Patrick C. Y. Woo1,2* ,  Yu-Hsi Lin3 ,  Shao-Yu Huang3 ,  Mei-Hui Chen1 ,  Ming-Hon Hou4,5,6 ,  Chieh-Chen Huang3,7,8*
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1 Doctoral Program in Translational Medicine and Department of Life Sciences, National Chung Hsing University, Taichung 402, Taiwan
2 The iEGG and Animal Biotechnology Research Center, National Chung Hsing University, Taichung 402, Taiwan
3 Department of Life Sciences, National Chung Hsing University, Taichung 402, Taiwan
4 Institute of Genomics and Bioinformatics and Department of Life Sciences, National Chung Hsing University, Taichung 402, Taiwan
5 Doctoral Program in Medical Biotechnology, National Chung Hsing University, Taichung 402, Taiwan
6 Biotechnology Center, National Chung Hsing University, Taichung 402, Taiwan
7 Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung 402, Taiwan
8 Advanced Plant and Food Crop Biotechnology Center, National Chung Hsing University, Taichung 402, Taiwan
MI, 5077 https://doi.org/10.36922/mi.5077
Submitted: 8 October 2024 | Revised: 4 December 2024 | Accepted: 2 January 2025 | Published: 3 February 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

With the development of next-generation sequencing and other technologies, there has been an exponential increase in DNA, RNA, and protein sequences and protein structures in the last two decades, paralleled with the advancement of user-friendly bioinformatics tools. Furthermore, the enormous improvement in computational power and accumulation of massive amounts of data has given rise to the development of big data analysis, which can unveil novel patterns, associations, and trends. In view of the unprecedented biological data explosion, we have recently developed a platform known as Mx. BIOME, which provides a collection of some of the most popular and cutting-edge tools in the fields of bioinformatics and big data analysis. Such a collection would facilitate end-users to identify suitable tools for analyzing their specific datasets. Further studies and reviews on various in silico tools are necessary to compare the advantages and limitations.

Keywords
Bioinformatics
DNA
Sequencing
Big data
Analysis
SARS-CoV-2
Funding
This work was partly supported by the National Science and Technology Council (NSTC 112-2311-B-005-006-MY3) and the Feature Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE-113-S-0023-A) in Taiwan.
Conflict of interest
Patrick C. Y. Woo is an Editorial Board Member of this journal but was not in any way involved in the editorial and peer-review process conducted for this paper, directly or indirectly. Separately, other authors declared that they have no known competing financial interests or personal relationships that could have influenced the work reported in this paper.
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Microbes & Immunity, Electronic ISSN: 3029-2883 Print ISSN: 3041-0886, Published by AccScience Publishing
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