An efficient spectra processing method for metabolite identification from 1H-NMR metabolomics data

Analytical and Bioanalytical Chemistry

Volumn 405, Issue 15, 2013, Pages 5049-5061

  Jacob, Daniel ^a,b   Deborde, Catherine ^a,b   Moing, Annick ^a,b  

^a Univ Bordeaux   (France)

^b Bordeaux Functional Genomic Center   (France)

Author keywords

1H NMR spectroscopy; Metabolite identification; Metabolomics; Spectra processing

Indexed keywords

BIO-MARKER DISCOVERY; BIOLOGICAL INFORMATION; DATA-REDUCTION ALGORITHMS; METABOLITE IDENTIFICATION; METABOLOMICS; PROCESSING PARAMETERS; SPECTRA PROCESSING; STATISTICAL DATA ANALYSIS;

BIOMOLECULES; DATA REDUCTION; METABOLITES; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; STATISTICAL TESTS;

PROCESSING;

BIOLOGICAL MARKER;

ARTICLE; CHEMISTRY; CLUSTER ANALYSIS; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; HUMAN; METABOLISM; METABOLOMICS; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PHYSIOLOGY; TOMATO;

BIOLOGICAL MARKERS; CLUSTER ANALYSIS; COMPUTER SIMULATION; GENE EXPRESSION REGULATION, PLANT; HUMANS; LYCOPERSICON ESCULENTUM; MAGNETIC RESONANCE SPECTROSCOPY; METABOLOMICS;

LYCOPERSICON ESCULENTUM;

EID: 84878313362     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-013-6852-y     Document Type: Article

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