ArticlePLoS computational biology2017
Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Ten simple rules for establishing a drug discovery lab in resource-limited settings.PLoS computational biology · 2026Article
- Designing and delivering bioinformatics project-based learning in East Africa.BMC bioinformatics · 2024Article
- Bioinformatics proficiency among African students.Frontiers in bioinformatics · 2024Article
- Advances in integrative African genomics.Trends in genetics : TIG · 2022Review
- Qualitative study of comprehension of heritability in genomics studies among the Yoruba in Nigeria.BMC medical ethics · 2020Article
- Designing and running an advanced Bioinformatics and genome analyses course in Tunisia.PLoS computational biology · 2019Article
- The Emergence of Genomic Research in Africa and New Frameworks for Equity in Biomedical Research.Ethnicity & disease · 2019Article
- DissectingFrontiers in genetics · 2019Article
- Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience.AAS open research · 2018Article
Corrections and comments
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Authors and funding
40 authors.
Funding
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.
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Registered trials
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