bioRxiv · 10.64898/2026.01.21.700760
Leveraging a hybrid cross-disciplinary training model to accelerate global bioinformatics capacity
Abstract
Disparities in formal bioinformatics training exacerbate the global skills gap, impeding the democratized application of advanced genomic technologies. To bridge this divide, we introduce a scalable, hybrid training framework designed to rapidly accelerate regional bioinformatics capacity. We exemplify this approach through the Eastern European Bioinformatics and Genomics (EEBG) workshop series -- a cross-disciplinary initiative that pairs international faculty with local institutions to deliver modular, hands-on curricula. Functioning as a structured knowledge-transfer pipeline, the series has catalyzed a sustainable educational ecosystem, evidenced by the establishment of multiple independent summer schools across the region. The assessment of the 2025 EEBG workshop in Krakow, Poland, validates the models viability; participant metrics confirm high efficacy in skill acquisition (mean satisfaction: 4.4/5.0) and community building. Crucially, the hybrid delivery mode dismantled geographic barriers, serving as a vital mechanism for maintaining scientific continuity for researchers facing displacement and crisis. Synthesizing these outcomes, we define the core features of a replicable blueprint for scientific readiness in resource-constrained environments. We conclude by presenting a strategic roadmap -- organized around infrastructure standardization, governance sustainability, and geographical expansion -- for adapting this regional proof-of-concept into a global export-ready model, offering a critical path toward ensuring universal access to genomic innovation.
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Oleksyk, T. K., Yakymenko, D., Bozek, S., Munteanu, V., Pilch, W., Comarova, Z., Gordeev, V., Boldirev, G., Ciorba, D., Bostan, V., Mason, C. E., Lucaci, A. G., Kasianchuk, N., Nishchenko, D., Popic, V., Lobiuc, A., Covasa, M., Hölzer, M., Polanska, J., Zelikovsky, A., Braga, V., Dimian, M., Łabaj, P., Mangul, S.. 2026-01-23. Leveraging a hybrid cross-disciplinary training model to accelerate global bioinformatics capacity. https://doi.org/10.64898/2026.01.21.700760
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