Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network

Ouellette, Francis and Jongeneel, C. Victor and Achinike-Oduaran, Ovokeraye and Adebiyi, E. and Adebiyi, Marion and Adeyemi, Seun and Akanle, Bola and Aron, Shaun and Ashano, Efejiro and Bendou, Hocine and Botha, Gerrit and Chimusa, Emile and Choudhury, Ananyo and Donthu, Ravikiran and Drnevich, Jenny and Falola, Oluwadamila and Fields, Christopher J. and Hazelhurst, Scott and Hendry, Liesl and Isewon, Itunuoluwa and Khetani, Radhika S. and Kumuthini, Judit and Kimuda, Magambo Phillip and Magosi, Lerato and Mainzer, Liudmila Sergeevna and Maslamoney, Suresh and Mbiyavanga, Mamana and Meintjes, Ayton and Mugutso, Danny and Mpangase, Phelelani and Munthali, Richard and Nembaware, Victoria and Ndhlovu, Andrew and Odia, Trust and Okafor, Adaobi and Oladipo, Olaleye and Panji, Sumir and Pillay, Venesa and Rendon, Gloria and Sengupta, Dhriti and Mulder, Nicola (2017) Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network. PLOS Computational Biology, 13 (6). e1005419. ISSN 1553-7358

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Abstract

The H3ABioNet pan-African bioinformatics network, which is funded to support the Human Heredity and Health in Africa (H3Africa) program, has developed node-assessment exer�cises to gauge the ability of its participating research and service groups to analyze typical genome-wide datasets being generated by H3Africa research groups. We describe a frame�work for the assessment of computational genomics analysis skills, which includes standard operating procedures, training and test datasets, and a process for administering the exer�cise. We present the experiences of 3 research groups that have taken the exercise and the impact on their ability to manage complex projects. Finally, we discuss the reasons why many H3ABioNet nodes have declined so far to participate and potential strategies to encourage them to do so.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User:	Mr Uchechukwu F. Ekpendu
Date Deposited:	02 Jul 2021 10:52
Last Modified:	02 Jul 2021 10:52
URI:	https://eprints.lmu.edu.ng/id/eprint/3162

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