5 research outputs found

    Computational Biology and Bioinformatics in Nigeria

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    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.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.Published versio

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    The interplay of post-translational modification and gene therapy

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    Victor Chukwudi Osamor,1–3 Shalom N Chinedu,3,4 Dominic E Azuh,3,5 Emeka Joshua Iweala,3,4 Olubanke Olujoke Ogunlana3,4 1Covenant University Bioinformatics Research (CUBRe) Unit, Department of Computer and Information Sciences, College of Science and Technology (CST), Covenant University, Ota, Ogun State, Nigeria; 2Institute of Informatics (Computational biology and Bioinformatics), Faculty of Mathematics, Informatics and Mechanics, University of Warsaw (Uniwersytet Warszawski), Warszawa, Poland; 3Covenant University Public Health and Well-being Research Group (CUPHWERG), Covenant University, 4Biochemistry and Molecular Biology Unit, Department of Biological Sciences, College of Science and Technology, Covenant University, Canaan Land, 5Department of Economics and Development Studies, Covenant University, Ota, Ogun State, Nigeria Abstract: Several proteins interact either to activate or repress the expression of other genes during transcription. Based on the impact of these activities, the proteins can be classified into readers, modifier writers, and modifier erasers depending on whether histone marks are read, added, or removed, respectively, from a specific amino acid. Transcription is controlled by dynamic epigenetic marks with serious health implications in certain complex diseases, whose understanding may be useful in gene therapy. This work highlights traditional and current advances in post-translational modifications with relevance to gene therapy delivery. We report that enhanced understanding of epigenetic machinery provides clues to functional implication of certain genes/gene products and may facilitate transition toward revision of our clinical treatment procedure with effective fortification of gene therapy delivery. Keywords: post-translational modification, gene therapy, epigenetics, histone, methylatio

    Genome Sequence of the Tsetse Fly (Glossina morsitans): Vector of African Trypanosomiasis

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    Tsetse flies are the sole vectors of human African trypanosomiasis throughout sub-Saharan Africa. Both sexes of adult tsetse feed exclusively on blood and contribute to disease transmission. Notable differences between tsetse and other disease vectors include obligate microbial symbioses, viviparous reproduction, and lactation. Here, we describe the sequence and annotation of the 366-megabase Glossina morsitans morsitans genome. Analysis of the genome and the 12,308 predicted protein–encoding genes led to multiple discoveries, including chromosomal integrations of bacterial (Wolbachia) genome sequences, a family of lactation-specific proteins, reduced complement of host pathogen recognition proteins, and reduced olfaction/chemosensory associated genes. These genome data provide a foundation for research into trypanosomiasis prevention and yield important insights with broad implications for multiple aspects of tsetse biology
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