Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Draper, John ^a   Enot, David P ^a,b   Parker, David ^a,c   Beckmann, Manfred ^a   Snowdon, Stuart ^a   Lin, Wanchang ^a   Zubair, Hassan ^a  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

^b BIOCRATES LIFE SCIENCES AG   (Austria)

^c SHELL GLOBAL SOLUTIONS INTERNATIONAL B V   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL EXTRACTS; CHEMICAL INFORMATION; CORRELATION ANALYSIS; DATABASE INTERFACES; ELECTROSPRAY IONISATION (ESI); MASS TO CHARGE RATIO (M/Z); PUBLICLY ACCESSIBLE; SIGNAL IDENTIFICATION;

BIOMOLECULES; DATABASE SYSTEMS; ELECTROSPRAY IONIZATION; ISOTOPES; MASS SPECTROMETRY; MATRIX ALGEBRA; METABOLITES; MOLECULES; POPULATION STATISTICS;

IONIZATION;

ACCURACY; ARTICLE; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA BASE; ELECTROSPRAY MASS SPECTROMETRY; HIGH THROUGHPUT SCREENING; INFORMATION PROCESSING; METABOLITE; METABOLOMICS; MZEDDB; SIGNAL DETECTION; SIGNAL PROCESSING; BIOLOGY; COMPUTER PROGRAM; FACTUAL DATABASE; INSTRUMENTATION; METHODOLOGY;

COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; METABOLOMICS; SOFTWARE; SPECTROMETRY, MASS, ELECTROSPRAY IONIZATION;

EID: 68949163674     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-227     Document Type: Article

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