Ten simple rules for organizing a bioinformatics training course in low- and middle-income countries

摘要

Bioinformatics training is required at every stage of a scientist’s research career. Continual bioinformatics training allows exposure to an ever-changing and growing repertoire of techniques and databases, and so biologists, computational scientists, and healthcare practitioners are all seeking learning opportunities in the use of computational resources and tools designed for data storage, retrieval, and analysis. TAU here:are Pleabundant asecheckwh opportunities ethertheeditst for othe accessing sentenceTher bioinformatics eareabunda training ntoppor for tun scientists itiesforacincessing:::areco high-income countries (HICs), with well-equipped facilities and participants and trainers requiring minimal travel and financial costs alongside a range of general advice for developing short bioinformatics training courses [1–3]. However, regionally targeted bioinformatics training in low- and middle-income countries (LAU MICs) : Ple often asenote requires thatlow more mid extensive dleincolocal mecoand untrieshasbeenc external support, organization, and travel. Due to the limited expertise in bioinformatics in LMICs in general, most bioinformatics training requires a fair amount of collaboration with experts beyond the local community, country, or region. A common model of training, used as the basis of this article, includes a local host collaborating with local, regional, and international experts gathering to train local or regional participants.