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Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices.

, , , , , , and . Nat. Mach. Intell., 3 (5): 420-425 (2021)

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Protein identification with deep learning: from abc to xyz., , , , and . CoRR, (2017)Complexities and Algorithms for Glycan Sequencing Using Tandem Mass Spectrometry., , , and . J. Bioinform. Comput. Biol., 6 (1): 77-91 (2008)DeepIso: A Deep Learning Model for Peptide Feature Detection., , , , , and . CoRR, (2018)De novo peptide sequencing by deep learning., , , , and . Proc. Natl. Acad. Sci. USA, 114 (31): 8247-8252 (2017)Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines., , , , , and . Nat. Mach. Intell., 2 (12): 764-771 (2020)Fast Algorithms for Extended Regular Expression Matching and Searching., , and . STACS, volume 2607 of Lecture Notes in Computer Science, page 179-190. Springer, (2003)DISC: DISulfide linkage Characterization from tandem mass spectra., , , and . Bioinform., 33 (23): 3861-3870 (2017)Stochastic Context-Free Graph Grammars for Glycoprotein Modelling.. CIAA, volume 3317 of Lecture Notes in Computer Science, page 247-258. Springer, (2004)Better score function for peptide identification with ETD MS/MS spectra., , , and . BMC Bioinform., 11 (S-1): 4 (2010)ChimST: An Efficient Spectral Library Search Tool for Peptide Identification from Chimeric Spectra in Data-Dependent Acquisition., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (4): 1416-1425 (2021)