Automated lipid a structure assignment from hierarchical tandem mass spectrometry data

Journal of the American Society for Mass Spectrometry

Volumn 22, Issue 5, 2011, Pages 856-866

  Ting, Ying S ^a   Shaffer, Scott A ^a,e   Jones, Jace W ^a,b   Ng, Wailap V ^c   Ernst, Robert K ^d   Goodlett, David R ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b Jones Environmental Inc   (United States)

^c NATIONAL YANG MING UNIVERSITY   (Taiwan)

^d UNIVERSITY OF MARYLAND   (United States)

^e UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Algorithm; Automated; Cross correlation; Hierarchical; High throughput; HiTMS; Lipid a; Lipidomic; Mass spectrometry; Multi stage; Structural

Indexed keywords

AUTOMATED; CROSS CORRELATIONS; HIERARCHICAL; HIGH-THROUGHPUT; HITMS; LIPID A; LIPIDOMIC; MULTI-STAGE; STRUCTURAL;

ALGORITHMS; ELECTROSPRAY IONIZATION;

MASS SPECTROMETRY;

LIPID A;

ALGORITHM; ARTICLE; AUTOMATION; CONTROLLED STUDY; DATA ANALYSIS; DATA BASE; FRANCISELLA TULARENSIS; HIERARCHICAL TANDEM MASS SPECTROMETRY; LIPID ANALYSIS; MASS SPECTROMETRY; MOLECULAR LIBRARY; NONHUMAN; SPECIES DIFFERENCE; STRUCTURE ANALYSIS; THEORETICAL MODEL; YERSINIA PESTIS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; FRANCISELLA TULARENSIS; LIPID A; SPECIES SPECIFICITY; TANDEM MASS SPECTROMETRY; YERSINIA PESTIS;

FRANCISELLA TULARENSIS; YERSINIA PESTIS;

EID: 79955758189     PISSN: 10440305     EISSN: 18791123     Source Type: Journal    
DOI: 10.1007/s13361-010-0055-y     Document Type: Article

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