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Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience.

Azza E AhmedPhelelani T MpangaseSumir PanjiShakuntala BaichooYassine SouilmiFaisal M FadlelmolaMustafa AlghaliShaun AronHocine BendouEugene De BesteMamana MbiyavangaOussema SouiaiLong YiJennie ZermenoDon ArmstrongBrian D O'ConnorLiudmila Sergeevna MainzerMichael R CrusoeAyton P MeintjesPeter van HeusdenGerrit BothaFourie JoubertC Victor JongeneelScott HazelhurstNicola M Mulder
Published in: AAS open research (2018)
The need for portable and reproducible genomics analysis pipelines is growing globally as well as in Africa, especially with the growth of collaborative projects like the Human Health and Heredity in Africa Consortium (H3Africa). The Pan-African H3Africa Bioinformatics Network (H3ABioNet) recognized the need for portable, reproducible pipelines adapted to heterogeneous compute environments, and for the nurturing of technical expertise in workflow languages and containerization technologies. To address this need, in 2016 H3ABioNet arranged its first Cloud Computing and Reproducible Workflows Hackathon, with the purpose of building key genomics analysis pipelines able to run on heterogeneous computing environments and meeting the needs of H3Africa research projects. This paper describes the preparations for this hackathon and reflects upon the lessons learned about its impact on building the technical and scientific expertise of African researchers. The workflows developed were made publicly available in GitHub repositories and deposited as container images on quay.io.
Keyphrases
  • human health
  • risk assessment
  • quality improvement
  • convolutional neural network
  • machine learning
  • low cost