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Computational Biology and Bioinformatics in Nigeria

Overview of attention for article published in PLoS Computational Biology, April 2014
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Title
Computational Biology and Bioinformatics in Nigeria
Published in
PLoS Computational Biology, April 2014
DOI 10.1371/journal.pcbi.1003516
Pubmed ID
Authors

Segun A. Fatumo, Moses P. Adoga, Opeolu O. Ojo, Olugbenga Oluwagbemi, Tolulope Adeoye, Itunuoluwa Ewejobi, Marion Adebiyi, Ezekiel Adebiyi, Clement Bewaji, Oyekanmi Nashiru

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 3 3%
Brazil 1 <1%
Indonesia 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 100 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 17%
Researcher 15 14%
Student > Master 15 14%
Student > Bachelor 8 7%
Professor 7 7%
Other 23 21%
Unknown 21 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 22%
Biochemistry, Genetics and Molecular Biology 14 13%
Computer Science 10 9%
Medicine and Dentistry 9 8%
Social Sciences 7 7%
Other 16 15%
Unknown 27 25%