A novel approach for nontargeted data analysis for metabolomics. Large-scale profiling of tomato fruit volatiles

Plant Physiology

Volumn 139, Issue 3, 2005, Pages 1125-1137

  Tikunov, Yury ^a,b   Lommen, Arjen ^a,b   De Vos, C H Ric ^a,b   Verhoeven, Harrie A ^a,b   Bino, Raoul J ^a,b   Hall, Robert D ^a,b   Bovy, Arnaud G ^a,b  

^a CENTRE FOR BIOSYSTEMS GENOMICS   (Netherlands)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; DATABASE SYSTEMS; GAS CHROMATOGRAPHY; GENES; MASS SPECTROMETRY; METABOLISM;

BIOCHEMICAL PRECURSORS; GENOTYPES; METABOLIC PHENOTYPES; METABOLOMIC DATA; MOLECULAR FRAGMENTS;

FRUITS;

FRUITS; GAS CHROMATOGRAPHY; GENES; MASS SPECTROMETERS; METABOLISM;

LYCOPERSICON ESCULENTUM;

ARTICLE; AUTOMATION; CHEMISTRY; FRUIT; GENETICS; GENOTYPE; MASS FRAGMENTOGRAPHY; METABOLISM; PLANT; STATISTICS; TOMATO; VOLATILIZATION;

AUTOMATION; FRUIT; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; GENOTYPE; LYCOPERSICON ESCULENTUM; PLANT COMPONENTS; STATISTICS; VOLATILIZATION;

EID: 33344469496     PISSN: 00320889     EISSN: None     Source Type: Journal    
DOI: 10.1104/pp.105.068130     Document Type: Article

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