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Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on <t>OpenNanopore</t> to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.
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Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on <t>OpenNanopore</t> to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.
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Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on <t>OpenNanopore</t> to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.
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Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on <t>OpenNanopore</t> to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.
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Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on <t>OpenNanopore</t> to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.
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Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on OpenNanopore to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.

Journal: Scientific Reports

Article Title: Calling the amino acid sequence of a protein/peptide from the nanospectrum produced by a sub-nanometer diameter pore

doi: 10.1038/s41598-022-22305-x

Figure Lengend Snippet: Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on OpenNanopore to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.

Article Snippet: The nanospectra in ABFs were extracted using a homemade MATLAB software package based on OpenNanopore (version 1.2) .

Techniques: Software, Generated