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Published on: January 12, 2020
Computational biology and bioinformatics in Nigeria
Segun A Fatumo1, Moses P Adoga2, Opeolu O Ojo3
1H3Africa Bioinformatics Network (H3ABioNet) Node, National Biotechnology Development Agency (NABDA), Federal Ministry of Science and Technology (FMST), Abuja, Nigeria; Human Genetics Department, Wellcome Trust Sanger Institute, Cambridge, United Kingdom; International Health Research Group, Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom.
Bioinformatics is crucial for analyzing biological data. This article explores bioinformatics education and research in Nigeria, proposing strategies for growth and policy support, benefiting other developing nations.
Area of Science:
- Molecular Biology
- Genomic Technologies
- Computer and Information Science
Background:
- Advances in molecular biology and genomics have generated vast biological data.
- Bioinformatics has become essential for processing and analyzing this data.
- Bioinformatics is an interdisciplinary field combining biology with computer science.
Purpose of the Study:
- To provide an overview of bioinformatics education and research in Nigeria.
- To discuss key institutions and professional societies advancing bioinformatics in Nigeria.
- To propose strategies for enhancing bioinformatics education and policy support in Nigeria.
Main Methods:
- Literature review of bioinformatics activities in Nigeria.
- Analysis of the roles of universities and research institutes.
- Identification of professional societies and their contributions.
Main Results:
- Bioinformatics is increasingly important in Nigerian biological sciences.
- Bioinformatics groups are forming in Nigerian universities and research institutes.
- Professional societies and academic institutions are central to advancing the discipline.
Conclusions:
- Nigeria is rapidly accepting the importance of bioinformatics.
- Strategic development can bolster bioinformatics education and research.
- Proposed strategies may benefit other developing countries.
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