Spectral matching algorithms are computational methods used to compare and identify mass spectra data by matching observed spectral peaks with reference spectra. These algorithms play a crucial role in metabolomics by enabling the identification of metabolites based on their mass-to-charge ratios and fragmentation patterns. By effectively comparing spectra, these algorithms help researchers to accurately determine the presence of specific compounds within complex biological samples.
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