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

PLoS computational biology

PubMedID: 28570565

Jongeneel CV, Achinike-Oduaran O, Adebiyi E, Adebiyi M, Adeyemi S, Akanle B, Aron S, Ashano E, Bendou H, Botha G, Chimusa E, Choudhury A, Donthu R, Drnevich J, Falola O, Fields CJ, Hazelhurst S, Hendry L, Isewon I, Khetani RS, Kumuthini J, Kimuda MP, Magosi L, Mainzer LS, Maslamoney S, Mbiyavanga M, Meintjes A, Mugutso D, Mpangase P, Munthali R, Nembaware V, Ndhlovu A, Odia T, Okafor A, Oladipo O, Panji S, Pillay V, Rendon G, Sengupta D, Mulder N. Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network. PLoS Comput Biol. 2017;13(6):e1005419.
The H3ABioNet pan-African bioinformatics network, which is funded to support the Human Heredity and Health in Africa (H3Africa) program, has developed node-assessment exercises 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 framework for the assessment of computational genomics analysis skills, which includes standard operating procedures, training and test datasets, and a process for administering the exercise. 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.