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Volumn 90, Issue 12, 2002, Pages 1868-1874

New computational approaches for de novo peptide sequencing from MS/MS experiments

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DISSOCIATION; LEARNING SYSTEMS; PROTEINS; SPECTROMETRY;

EID: 0012753946     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPROC.2002.805301     Document Type: Article
Times cited : (25)

References (14)
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    • An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database
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    • A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry
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    • Fernandex-De-Cossio, J.1
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    • A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry
    • T. Chen et al., "A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry," in Proc. 10th SIAM Conf. Discrete Mathematics, 2000.
    • (2000) Proc. 10th SIAM Conf. Discrete Mathematics
    • Chen, T.1
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    • The use of deteriumlabeled lysine for efficient protein identification and peptide de novo sequencing
    • to be published
    • S. Gu, S. Pan, E. M. Bradbury, and X. Chen, "The use of deteriumlabeled lysine for efficient protein identification and peptide de novo sequencing," Anal. Chem., to be published.
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    • Gu, S.1    Pan, S.2    Bradbury, E.M.3    Chen, X.4
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    • Residue-specific mass signatures for the efficient detection of protein modifications by mass spectrometry
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    • Hunter, T.C.1    Yang, L.2    Zhu, H.3    Majidi, V.4    Bradbury, E.M.5    Chen, X.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.