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Análise de Metabolômica de Séries Temporais×Análise de Metabolômica×
ÁreaBioinformáticaBioinformática
FamíliaProcess / pipelineProcess / pipeline
Ano de origem2000s–2010s1998–2002
Autor originalDeveloped from general metabolomics workflows; longitudinal extensions pioneered by A. K. Smilde, R. Bino, and colleaguesOliver et al. (coining of 'metabolomics'); Oliver Fiehn (systematic framework)
TipoQuantitative longitudinal omics pipelineQuantitative omics pipeline
Fonte seminalSmilde, A. K., van der Werf, M. J., Bijlsma, S., van der Werff-van der Vat, B. J. C., & Jellema, R. H. (2005). Fusion of mass spectrometry-based metabolomics data. Analytical Chemistry, 77(20), 6729–6736. link ↗Fiehn, O. (2002). Metabolomics — the link between genotypes and phenotypes. Plant Molecular Biology, 48(1-2), 155–171. link ↗
Outros nomeslongitudinal metabolomics, dynamic metabolomics, temporal metabolome profiling, kinetic metabolomicsmetabolome profiling, metabolic profiling, metabonomics, metabolite profiling
Relacionados66
ResumoTime-series metabolomics analysis profiles small-molecule metabolites from biological samples collected at multiple, ordered time points, enabling researchers to capture the dynamic flux of metabolic pathways in response to stimuli, disease progression, drug treatment, or developmental change. By integrating longitudinal statistical models with standard metabolomics preprocessing, the approach goes beyond a static metabolic snapshot to reveal how, when, and in what sequence metabolic responses unfold.Metabolomics analysis is the large-scale, systematic measurement of small-molecule metabolites in a biological sample to characterise the metabolome — the complete set of metabolic intermediates and products present under defined conditions. By coupling high-throughput analytical platforms such as mass spectrometry (MS) or nuclear magnetic resonance (NMR) spectroscopy with multivariate statistics and pathway databases, metabolomics bridges the genotype–phenotype gap and captures the downstream functional output of genes, transcripts, and proteins in real time.
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ScholarGateComparar métodos: Time-series metabolomics analysis · Metabolomics analysis. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare