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"Powerful and robust tools are gradually becoming available to explore viruses in an ecological framework, including interactions with abiotic factors. The contributions of the advancing high-throughput multi-omics technologies, in silico analysis tools and machine learning algorithms will intensify and provide crucial insights.”

“As new microbial threats are expected to emerge at an accelerating rate due to the current global conditions, these will be invaluable tools to contain future epidemics and broadly understand natural processes toward a global health.”

  • From: New viruses on the rise: a One Health and ecosystem-based perspective on emerging viruses. Ergünay K. Future Virol. 2021 Sep:10.2217/fvl-2021-0215. doi: 10.2217/fvl-2021-0215.
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“Metagenomic sequencing allows us to better identify pathogen emergence and describe microbial diversity in vectors or in the environment. However, the implementation of the available technologies is impacted by requirements of infrastructure, resources, and user expertise.”

  • From: Vector-borne pathogen surveillance in a metagenomic world. Ergunay K, Bourke BP, Achee N, Jiang L, Grieco J, Linton YM. PLoS Negl Trop Dis. 2024; 18(2):e0011943. doi: 10.1371/journal.pntd.0011943.
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“A key deliverable is a custom-designed electronically merged data pipeline and alert dashboard that integrates remotely captured data with state-of-the-art metagenomic next-generation sequencing technology. This pipeline incorporates data generated from field and laboratory best practices, to furnish health decision-makers with a centralized, timely, and rigorous database to efficiently search interdisciplinary and heterogeneous data sources necessary to alert, prepare and mitigate health threats.”

As a Smithsonian Institution researcher, Koray made key contributions to develop the Remote Emerging Disease Intelligence-NETwork e-MERGE data pipeline.

  • Achee NL; Remote Emerging Disease Intelligence—NETwork (REDI-NET) Consortium. Front Microbiol. 2022; 13:961065. doi: 10.3389/fmicb.2022.961065.
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