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评估计算基因组学技能:我们在H3ABioNet非洲生物信息学网络中的经验。

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

作者信息

Jongeneel C Victor, Achinike-Oduaran Ovokeraye, Adebiyi Ezekiel, Adebiyi Marion, Adeyemi Seun, Akanle Bola, Aron Shaun, Ashano Efejiro, Bendou Hocine, Botha Gerrit, Chimusa Emile, Choudhury Ananyo, Donthu Ravikiran, Drnevich Jenny, Falola Oluwadamila, Fields Christopher J, Hazelhurst Scott, Hendry Liesl, Isewon Itunuoluwa, Khetani Radhika S, Kumuthini Judit, Kimuda Magambo Phillip, Magosi Lerato, Mainzer Liudmila Sergeevna, Maslamoney Suresh, Mbiyavanga Mamana, Meintjes Ayton, Mugutso Danny, Mpangase Phelelani, Munthali Richard, Nembaware Victoria, Ndhlovu Andrew, Odia Trust, Okafor Adaobi, Oladipo Olaleye, Panji Sumir, Pillay Venesa, Rendon Gloria, Sengupta Dhriti, Mulder Nicola

机构信息

High-Performance Biological Computing, Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.

Institute for Genomic Biology and National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.

出版信息

PLoS Comput Biol. 2017 Jun 1;13(6):e1005419. doi: 10.1371/journal.pcbi.1005419. eCollection 2017 Jun.

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 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.

摘要

H3ABioNet泛非生物信息学网络由资助以支持非洲人类遗传与健康(H3Africa)项目,该网络开发了节点评估活动,以衡量其参与的研究和服务团队分析H3Africa研究团队生成的典型全基因组数据集的能力。我们描述了一个计算基因组学分析技能评估框架,其中包括标准操作程序、训练和测试数据集以及实施该活动的流程。我们介绍了3个参与该活动的研究团队的经验以及这对他们管理复杂项目能力的影响。最后,我们讨论了许多H3ABioNet节点至今拒绝参与的原因以及鼓励它们参与的潜在策略。

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