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

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dc.contributor.authorJongeneel, C Victor
dc.contributor.authorBendou, Hocine
dc.contributor.authorChimusa, Emile
dc.contributor.authorDrnevich, Jenny
dc.contributor.authorFalola, Oluwadamila
dc.contributor.authorFields, Christopher J
dc.contributor.authorHazelhurst, Scott
dc.contributor.authorHendry, Liesl
dc.contributor.authorIsewon, Itunuoluwa
dc.contributor.authorKimuda, Magambo Phillip
dc.contributor.authorMainzer, Liudmila Sergeevna
dc.contributor.authorMaslamoney, Suresh
dc.contributor.authorMeintjes, Ayton
dc.contributor.authorMunthali, Richard
dc.contributor.authorOdia, Trust
dc.contributor.authorPillay, Venesa
dc.contributor.authorMulder, Nicola
dc.date.accessioned2021-10-08T07:11:54Z
dc.date.available2021-10-08T07:11:54Z
dc.date.issued2017
dc.description.abstractThe 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.
dc.identifier.apacitationJongeneel, C. V., Bendou, H., Chimusa, E., Drnevich, J., Falola, O., Fields, C. J., ... Mulder, N. (2017). Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network. <i>PLoS Computational Biology</i>, 13(6), e1005419 - 177. http://hdl.handle.net/11427/34706en_ZA
dc.identifier.chicagocitationJongeneel, C Victor, Hocine Bendou, Emile Chimusa, Jenny Drnevich, Oluwadamila Falola, Christopher J Fields, Scott Hazelhurst, et al "Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network." <i>PLoS Computational Biology</i> 13, 6. (2017): e1005419 - 177. http://hdl.handle.net/11427/34706en_ZA
dc.identifier.citationJongeneel, C.V., Bendou, H., Chimusa, E., Drnevich, J., Falola, O., Fields, C.J., Hazelhurst, S. & Hendry, L. et al. 2017. Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network. <i>PLoS Computational Biology.</i> 13(6):e1005419 - 177. http://hdl.handle.net/11427/34706en_ZA
dc.identifier.issn1553-734X
dc.identifier.issn1553-7358
dc.identifier.ris TY - Journal Article AU - Jongeneel, C Victor AU - Bendou, Hocine AU - Chimusa, Emile AU - Drnevich, Jenny AU - Falola, Oluwadamila AU - Fields, Christopher J AU - Hazelhurst, Scott AU - Hendry, Liesl AU - Isewon, Itunuoluwa AU - Kimuda, Magambo Phillip AU - Mainzer, Liudmila Sergeevna AU - Maslamoney, Suresh AU - Meintjes, Ayton AU - Munthali, Richard AU - Odia, Trust AU - Pillay, Venesa AU - Mulder, Nicola AB - 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. DA - 2017 DB - OpenUCT DP - University of Cape Town IS - 6 J1 - PLoS Computational Biology LK - https://open.uct.ac.za PY - 2017 SM - 1553-734X SM - 1553-7358 T1 - Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network TI - Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network UR - http://hdl.handle.net/11427/34706 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/34706
dc.identifier.vancouvercitationJongeneel CV, Bendou H, Chimusa E, Drnevich J, Falola O, Fields CJ, et al. Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network. PLoS Computational Biology. 2017;13(6):e1005419 - 177. http://hdl.handle.net/11427/34706.en_ZA
dc.language.isoeng
dc.publisher.departmentInstitute of Infectious Disease and Molecular Medicine
dc.publisher.facultyFaculty of Health Sciences
dc.sourcePLoS Computational Biology
dc.source.journalissue6
dc.source.journalvolume13
dc.source.paginatione1005419 - 177
dc.source.urihttps://dx.doi.org/10.1371/journal.pcbi.1005419
dc.subject.otherAfrican Continental Ancestry Group
dc.subject.otherDatabase Management Systems
dc.subject.otherDatabases, Genetic
dc.subject.otherDeveloping Countries
dc.subject.otherGenomics
dc.subject.otherHumans
dc.subject.otherNigeria
dc.subject.otherSouth Africa
dc.titleAssessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network
dc.typeJournal Article
uct.type.publicationResearch
uct.type.resourceJournal Article
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