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Challenges and best practices in delivering remote hybrid bioinformatics training: The Experience of H3ABioNet University of Khartoum Node  
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  • Azza E. Ahmed,
  • Ayah A. Awadallah,
  • Mawada T. Elmahdi,
  • Maram Suliman,
  • Atheer,
  • Hassan Elsafi,
  • Basil D. Hamdelnile,
  • mohamed.abdullateif,
  • Faisal M. Fadlelmola
Azza E. Ahmed
Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Khartoum, Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum
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Ayah A. Awadallah
Department of Zoology, Faculty of Science, University of Khartoum
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Mawada T. Elmahdi
Department of haematology and Immunohaematology, Faculty of medical laboratory sciences, Ibn sina uinversity
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Maram Suliman
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Hassan Elsafi
Medicinal, Aromatic Plants and Traditional Medicine Research Institute, National Centre for Research
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Basil D. Hamdelnile
Department of Zoology, Faculty of Science, University of Khartoum
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mohamed.abdullateif
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Faisal M. Fadlelmola
Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum
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Abstract

Motivation: Delivering high quality distance-based bioinformatics training courses across the African continent is a challenging task.  This often requires going beyond traditional teaching methods, using hands-on sessions, interactivity, and problem-based learning approaches. This will eventually lead to enhancing the course objectives and learning outcomes. 
Results: In this article, we discuss the challenges and best practices related to delivering training in bioinformatics in lower-limited resource settings upon reflecting on our experience in hosting and running a multiple-delivery online course,  Introduction to Bioinformatics (IBT), that was developed by the H3ABioNet Education and Training Working Group and delivered at the University of Khartoum Node. We believe that our local setting is similar to others in less developed countries, so we also reflect upon aspects like classroom environment and recruitment of students to maximize outcomes.
Contact: Faisal M. Fadlelmola (faisal.mohamed@hotmail.com)
Supplementary information: survey questions, survey data, figures, models and code