Abstract
Nanopore technique has been developed as a powerful approach for single-molecule detection. Current nanopore data analysis method mainly involves time-domian process including the amplitude, translocation duration and interval time of the current events. However, more abundant information has been hidden from the noise which lacks quantitative method to extract them appropriately. In view of the advantages that there are intrinsic characteristics in noise during the analytes traversing through the nanopore, here, we present a mutidimensional data analysis strategy to obtain the single-molecule fingerprint frequency spectrum from current traces by Hilbert-Huang Transform.
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