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

Authors :
C Victor Jongeneel
Ovokeraye Achinike-Oduaran
Ezekiel Adebiyi
Marion Adebiyi
Seun Adeyemi
Bola Akanle
Shaun Aron
Efejiro Ashano
Hocine Bendou
Gerrit Botha
Emile Chimusa
Ananyo Choudhury
Ravikiran Donthu
Jenny Drnevich
Oluwadamila Falola
Christopher J Fields
Scott Hazelhurst
Liesl Hendry
Itunuoluwa Isewon
Radhika S Khetani
Judit Kumuthini
Magambo Phillip Kimuda
Lerato Magosi
Liudmila Sergeevna Mainzer
Suresh Maslamoney
Mamana Mbiyavanga
Ayton Meintjes
Danny Mugutso
Phelelani Mpangase
Richard Munthali
Victoria Nembaware
Andrew Ndhlovu
Trust Odia
Adaobi Okafor
Olaleye Oladipo
Sumir Panji
Venesa Pillay
Gloria Rendon
Dhriti Sengupta
Nicola Mulder
Source :
PLoS Computational Biology, Vol 13, Iss 6, p e1005419 (2017)
Publication Year :
2017
Publisher :
Public Library of Science (PLoS), 2017.

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
13
Issue :
6
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.1cbda16871d74b1aa7fa0221beb1cb98
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1005419