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Source data in support of: Simultaneous identification of viruses and viral variants with programmable DNA nanobait


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Source data for the main figures of the article "Simultaneous identification of viruses and viral variants with programmable DNA nanobait" in Nature Nanotechnology. This dataset includes data for single events, plotting bar charts, and statistic test details. Data were recorded with home-built LabVIEW codes. They represent ionic current measurements over time. From these ionic current measurements, single events that correspond to nanobaits were extracted and used for further analysis and bar charts. , nanobait events were filtered out of raw ionic current traces, then the detection region was determined, and information of the spike’s presence at each specific site was extracted. The plotted displacement efficiency was calculated as a displacement efficiency for a measurement subtracted to a no target control for each site (fifty nanobait events for each of three nanopore recordings) unless stated otherwise. 99.9% confidence intervals for the displacement efficiencies were calculated for all measurements. The statistical significance between two sites without and with the target was tested using a two-sided Student’s T-test.

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Except where otherwised noted, this item's license is described as Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
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European Research Council (647144)
J.Z., K.C., and U.F.K. acknowledge funding from a European Research Council (ERC) consolidator grant (DesignerPores No. 647144). U.F.K., S.B. and J.Z. were supported by a Wellcome Trust DCF grant. F.B. acknowledges funding from George and Lilian Schiff Foundation Studentship, the Winton Programme for the Physics of Sustainability Ph.D. Scholarship, and St John's College Benefactors’ Scholarship. A.O. acknowledges funding from the Cambridge Trust Vice Chancellor's Award. R.T. acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 892333, and from the Blavatnik Family Foundation. M.F.A. acknowledges funding from UKSCAB scholarship. N.E. acknowledges funding from the EPSRC, Cambridge Trust, and Trinity Hall, Cambridge. M.F. and M.H. acknowledge funding from the Biotechnology and Biological Sciences Research Council (BBSRC, BB/I006303/1). This work was supported by the NIHR Cambridge Biomedical Research Centre and NIHR AMR Research Capital Funding Scheme [NIHR200640]. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. S.B. is supported by a Wellcome Trust senior research fellowship (215515/Z/19/Z). The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.