A correlation network approach to metabolic data analysis for tomato fruits

R.A. Ursem, Y.M. Tikunov, A.G. Bovy, R. van Berloo, F.A. van Eeuwijk

Research output: Contribution to journalArticleAcademicpeer-review

56 Citations (Scopus)

Abstract

Network analysis of correlations between abundances of metabolites across tomato genotypes can help in unraveling the biological basis of organoleptic variation in tomato. We illustrate how to construct and interpret simple correlations networks using metabolic data collected on a diverse set of tomato genotypes. Various types of correlations are calculated and displayed in the form of networks. Interpretations on the basis of network analyses are compared to interpretations following principal components analysis.
Original languageEnglish
Pages (from-to)181-193
JournalEuphytica
Volume161
Issue number1-2
DOIs
Publication statusPublished - 2008

Fingerprint

Lycopersicon esculentum
Fruit
data analysis
tomatoes
fruits
Genotype
genotype
Metabolic Networks and Pathways
Principal Component Analysis
principal component analysis
metabolites

Keywords

  • interpreting correlations
  • flavor
  • volatiles
  • descriptors
  • components
  • cultivars
  • plants

Cite this

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title = "A correlation network approach to metabolic data analysis for tomato fruits",
abstract = "Network analysis of correlations between abundances of metabolites across tomato genotypes can help in unraveling the biological basis of organoleptic variation in tomato. We illustrate how to construct and interpret simple correlations networks using metabolic data collected on a diverse set of tomato genotypes. Various types of correlations are calculated and displayed in the form of networks. Interpretations on the basis of network analyses are compared to interpretations following principal components analysis.",
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A correlation network approach to metabolic data analysis for tomato fruits. / Ursem, R.A.; Tikunov, Y.M.; Bovy, A.G.; van Berloo, R.; van Eeuwijk, F.A.

In: Euphytica, Vol. 161, No. 1-2, 2008, p. 181-193.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - A correlation network approach to metabolic data analysis for tomato fruits

AU - Ursem, R.A.

AU - Tikunov, Y.M.

AU - Bovy, A.G.

AU - van Berloo, R.

AU - van Eeuwijk, F.A.

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AB - Network analysis of correlations between abundances of metabolites across tomato genotypes can help in unraveling the biological basis of organoleptic variation in tomato. We illustrate how to construct and interpret simple correlations networks using metabolic data collected on a diverse set of tomato genotypes. Various types of correlations are calculated and displayed in the form of networks. Interpretations on the basis of network analyses are compared to interpretations following principal components analysis.

KW - interpreting correlations

KW - flavor

KW - volatiles

KW - descriptors

KW - components

KW - cultivars

KW - plants

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DO - 10.1007/s10681-008-9672-y

M3 - Article

VL - 161

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JO - Euphytica

JF - Euphytica

SN - 0014-2336

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