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Computational Biology and Bioinformatics in Nigeria
Fatumo, SA Adoga, MP Oluwagbemi, O Adeoye, T Ewejobi, I Adebiyi, M Adebiyi, E Bewaji, C Nashiru, O
Fatumo, SA
Adoga, MP
Oluwagbemi, O
Adeoye, T
Ewejobi, I
Adebiyi, M
Adebiyi, E
Bewaji, C
Nashiru, O
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Epub Date
Issue Date
2014-04-24
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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. © 2014 Fatumo et al.
Citation
Fatumo SA, Adoga MP, Ojo OO, Oluwagbemi O, Adeoye T, Ewejobi I, et al. (2014) Computational Biology and Bioinformatics in Nigeria. PLoS Comput Biol 10(4): e1003516. https://doi.org/10.1371/journal.pcbi.1003516
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Research Unit
PubMed ID
24763310
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Journal article
Language
en
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ISSN
1553-734X
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Sponsors
SAF was supported by H3ABioNet NABDA Node, Abuja, Nigeria with NIH Common Fund Award/NHGRI Grant Number U41HG006941 and Genetic Epidemiology Group at Wellcome Trust Sanger Institute.
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Licence for published version: Creative Commons Attribution 4.0 International