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TopLib: Building and Searching Top-Down Mass Spectral Libraries for Proteoform Identification
Kun Li1, Haixu Tang2, Xiaowen Liu1
1Deming Department of Medicine, Tulane University, New Orleans, Louisiana 70112, United States.
Abstract:
Mass spectral library search is a widely used approach for spectral identification in mass spectrometry (MS)-based proteomics. While numerous methods exist for building and searching bottom-up mass spectral libraries, there is a lack of software tools for top-down mass spectral libraries. To fill the gap, we introduce TopLib, a new software package designed for building and searching top-down spectral libraries. TopLib utilizes an efficient spectral representation technique to reduce database size and improve query speed and performance. We systematically evaluated various spectral representation techniques and scoring functions for top-down spectral clustering and search. Our results demonstrate that TopLib is significantly faster and yields higher reproducibility in proteoform identification compared to conventional database search methods in top-down MS.
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