H3ABioNet aims to create a sustainable African Bioinformatics Network to support H3Africa researchers through the development of bioinformatics capacity on the continent. Specifically, it aims to: 1) engage with the H3Africa Consortium, providing a framework for integration and communication amongst its members to ensure progress towards the common goal of full exploitation of our genomic and environmental resources for translation into improved health in Africa;2) develop a core bioinformatics infrastructure (hardware and human resources) to aid research in genomic medicine, high throughput biology, systems biology, genetics, and medicine, for the study of human heredity and health;S) develop tools and bioinformatics solutions appropriate for exploitation and interpretation of biological information in Africa, and make these more accessible to H3Africa researchers;4) develop research partnerships and promote interaction between bioinformaticians, clinicians, molecular geneticists and ethics researchers to ensure integrative research into health issues in Africa;5) develop the bioinformatics capacity of people in Africa t empower them to perform cutting edge research, and to ensure retention of bioinformatics skills on the continent;6) facilitate secure, high-fidelity storage and management of data generated within the H3Africa framework and their deposition in public databases, so that maximum value can be derived from these data;and 7) ensure that the increasing amount of information from genomic analyses and high-throughput molecular biology is accessible to all H3Africa researchers, to promote health research, scientific progress and global competitiveness in Africa.
These aims will be achieved through four major activities: user support, training and capacity development, research and tools, and outreach and communication. These activities will result in a bioinformatics support structure, continuous specialized training for bioinformaticians and researchers, development and accessibility of new tools appropriate for the African setting, and a framework for communication flow within the H3Africa Consortium. Through the pooling of existing expertise and training of the next generation of researchers, we will build critical mass in bioinformatics for H3Africa.

Public Health Relevance

By building bioinformatics capacity in Africa through training of researchers and bioinformatics students and providing infrastructure and support, this project will increase the technical skills on the continent and enable African researchers to analyze and exploit African patient data for the benefit of African patients. This project will ensure retentio of data, intellectual property and skills on the continent;as well as facilitating African centric advances in biomedical research to improve the health of African populations.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Biotechnology Resource Cooperative Agreements (U41)
Project #
3U41HG006941-02S1
Application #
8727740
Study Section
Special Emphasis Panel (ZHG1-HGR-P (M1))
Program Officer
Guyer, Mark S
Project Start
2012-08-15
Project End
2017-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
2
Fiscal Year
2013
Total Cost
$126,063
Indirect Cost
$9,338
Name
University of Cape Town
Department
Type
DUNS #
568227214
City
Rondebosch
State
Country
South Africa
Zip Code
7700
Mulder, Nicola; Nembaware, Victoria; Adekile, Adekunle et al. (2016) Proceedings of a Sickle Cell Disease Ontology workshop - Towards the first comprehensive ontology for Sickle Cell Disease. Appl Transl Genom 9:23-9
Coulibaly, C A; Sissoko, I; Traore, B et al. (2016) Diversity of Sand Flies (Diptera: Psychodidae: Phlebotominae) in Two Different Eco-Climatic and Endemic Zones of Cutaneous Leishmaniasis in Mali, West Africa. J Med Entomol 53:923-927
Mizzi, Clint; Dalabira, Eleni; Kumuthini, Judit et al. (2016) A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics. PLoS One 11:e0162866
Mulder, Nicola J; Christoffels, Alan; de Oliveira, Tulio et al. (2016) The Development of Computational Biology in South Africa: Successes Achieved and Lessons Learnt. PLoS Comput Biol 12:e1004395
Musyoka, Thommas M; Kanzi, Aquillah M; Lobb, Kevin A et al. (2016) Analysis of non-peptidic compounds as potential malarial inhibitors against Plasmodial cysteine proteases via integrated virtual screening workflow. J Biomol Struct Dyn 34:2084-101
Musyoka, Thommas M; Kanzi, Aquillah M; Lobb, Kevin A et al. (2016) Structure Based Docking and Molecular Dynamic Studies of Plasmodial Cysteine Proteases against a South African Natural Compound and its Analogs. Sci Rep 6:23690
Mulder, Nicola J; Adebiyi, Ezekiel; Alami, Raouf et al. (2016) H3ABioNet, a sustainable pan-African bioinformatics network for human heredity and health in Africa. Genome Res 26:271-7
Bendou, Hocine; Entfellner, Jean-Baka Domelevo; van Heusden, Peter et al. (2016) NetCapDB: measuring bioinformatics capacity development in Africa. BMC Res Notes 9:144
Mazandu, Gaston K; Chimusa, Emile R; Mbiyavanga, Mamana et al. (2016) A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool. Bioinformatics 32:477-9
Chimusa, Emile R; Mbiyavanga, Mamana; Mazandu, Gaston K et al. (2016) ancGWAS: a post genome-wide association study method for interaction, pathway and ancestry analysis in homogeneous and admixed populations. Bioinformatics 32:549-56

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