Computational biology and bioinformatics in Nigeria
Article
Fatumo, S., Adoga, M., Ojo, O., Oluwagbemi, O., Adeoye, T., Ewejobi, I., Adebiyi, M., Adebiyi, E., Bewaji, C. and Nashiru, O. 2014. Computational biology and bioinformatics in Nigeria. PLoS Computational Biology. 10 (4). https://doi.org/10.1371/journal.pcbi.1003516
Type | Article |
---|---|
Title | Computational biology and bioinformatics in Nigeria |
Authors | Fatumo, S., Adoga, M., Ojo, O., Oluwagbemi, O., Adeoye, T., Ewejobi, I., Adebiyi, M., Adebiyi, E., Bewaji, C. and Nashiru, O. |
Abstract | Over the past few decades, major advances in the field of molecular biology, coupled with advances in genomic technologies, have led to an explosive growth in the biological data generated by the scientific community. The critical need to process and analyze such a deluge of data and turn it into useful knowledge has caused bioinformatics to gain prominence and importance. Bioinformatics is an interdisciplinary research area that applies techniques, methodologies, and tools in computer and information science to solve biological problems. In Nigeria, bioinformatics has recently played a vital role in the advancement of biological sciences. As a developing country, the importance of bioinformatics is rapidly gaining acceptance, and bioinformatics groups comprised of biologists, computer scientists, and computer engineers are being constituted at Nigerian universities and research institutes. In this article, we present an overview of bioinformatics education and research in Nigeria. We also discuss professional societies and academic and research institutions that play central roles in advancing the discipline in Nigeria. Finally, we propose strategies that can bolster bioinformatics education and support from policy makers in Nigeria, with potential positive implications for other developing countries. |
Keywords | Bioinformatics; Nigeria; Computational biology; Workshops; Malaria; Scientists; Environmental biotechnology; Plant biotechnology |
Sustainable Development Goals | 4 Quality education |
3 Good health and well-being | |
Middlesex University Theme | Creativity, Culture & Enterprise |
Health & Wellbeing | |
Publisher | Public Library of Science |
Journal | PLoS Computational Biology |
ISSN | 1553-734X |
Electronic | 1553-7358 |
Publication dates | |
24 Apr 2014 | |
Online | 24 Apr 2014 |
Publication process dates | |
Deposited | 19 Apr 2024 |
Output status | Published |
Publisher's version | License File Access Level Open |
Copyright Statement | © 2014 Fatumo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
Digital Object Identifier (DOI) | https://doi.org/10.1371/journal.pcbi.1003516 |
Scopus EID | 2-s2.0-84901318153 |
Web of Science identifier | WOS:000336507500031 |
Language | English |
https://repository.mdx.ac.uk/item/v21zv
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