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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11146

Title: Development of Bioinformatics Infrastructure for Genomics Research in H3Africa
Authors: The H3ABioNet Consortium
Mulder, Nicola J.
Adebiyi, Ezekiel
Adebiyi, Marion
Adeyemi, Seun
Ahmed, Azza
Ahmed, Rehab
Akanle, Bola
Alibi, Mohamed
Armstrong, Don L.
Aron, Shaun
Ashano, Efejiro
Baichoo, Shakuntala
Benkahla, Alia
Brown, David K.
Chimusa, Emile R.
Fadlelmola, Faisal M.
Falola, Dare
Fatumo, Segun
Ghedira, Kais
Ghouila, Amel
Hazelhurst, Scott
Isewon, Iunu
Jung, Segun
Mohammed, Somia
Mosaku, Abayomi
Moussa, Ahmed
Muhammd, Mustafa
Mungloo-Dilmohamud, Zahra
Nashiru, Oyekanmi
Odia, Trust
Okafor, Adaobi
Oladipo, Olaleye
Panji, Sumir
Radouani, Fouzia
Osamor, Victor
Oyelade, Jellili
Sadki, Khalid
Salifu, Samson Pandam
Soyemi, Jumoke
Souiai, Oussama
Bishop, Özlem Tastan
Issue Date: Mar-2017
Publisher: Global Heart
Citation: Global Heart, March-2017, http://dx.doi.org/10.1016/ j.gheart.2017.01.005
Abstract: Background: Although pockets of bioinformatics excellence have developed in Africa, generally, large-scale genomic data analysis has been limited by the availability of expertise and infrastructure. H3ABioNet, a pan-African bioinformatics network, was established to build capacity specifically to enable H3Africa (Human Heredity and Health in Africa) researchers to analyze their data in Africa. Since the inception of the H3Africa initiative, H3ABioNet’s role has evolved in response to changing needs from the consortium and the African bioinformatics community. Objectives: H3ABioNet set out to develop core bioinformatics infrastructure and capacity for genomics research in various aspects of data collection, transfer, storage, and analysis. Methods and Results: Various resources have been developed to address genomic data management and analysis needs of H3Africa researchers and other scientific communities on the continent. NetMap was developed and used to build an accurate picture of network performance within Africa and between Africa and the rest of the world, and Globus Online has been rolled out to facilitate data transfer. A participant recruitment database was developed to monitor participant enrollment, and data is being harmonized through the use of ontologies and controlled vocabularies. The standardized metadata will be integrated to provide a search facility for H3Africa data and biospecimens. Because H3Africa projects are generating large-scale genomic data, facilities for analysis and interpretation are critical. H3ABioNet is implementing several data analysis platforms that provide a large range of bioinformatics tools or workflows, such as Galaxy, the Job Management System, and eBiokits. A set of reproducible, portable, and cloud-scalable pipelines to support the multiple H3Africa data types are also being developed and dockerized to enable execution on multiple computing infrastructures. In addition, new tools have been developed for analysis of the uniquely divergent African data and for downstream interpretation of prioritized variants. To provide support for these and other bioinformatics queries, an online bioinformatics helpdesk backed by broad consortium expertise has been established. Further support is provided by means of various modes of bioinformatics training. Conclusions: For the past 4 years, the development of infrastructure support and human capacity through H3ABioNet, have significantly contributed to the establishment of African scientific networks, data analysis facilities, and training programs. Here, we describe the infrastructure and how it has affected genomics and bioinformatics research in Africa.
Description: An article published by Global Heart, March-2017, http://dx.doi.org/10.1016/ j.gheart.2017.01.005
URI: http://hdl.handle.net/123456789/11146
Appears in Collections:College of Science

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