Linganisha mbinu

	Uchambuzi wa Metabolomics	Uchambuzi wa eQTL
Nyanja	Bioinformatiki	Bioinformatiki
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1998–2002	2001 (term coined); widely adopted after 2005
Mwanzilishi	Oliver et al. (coining of 'metabolomics'); Oliver Fiehn (systematic framework)	Ritsert C. Jansen & Jan-Peter Nap
Aina	Quantitative omics pipeline	Association mapping method
Chanzo asilia	Fiehn, O. (2002). Metabolomics — the link between genotypes and phenotypes. Plant Molecular Biology, 48(1-2), 155–171.	Jansen, R. C., & Nap, J.-P. (2001). Genetical genomics: the added value from segregation. Trends in Genetics, 17(7), 388–391.
Majina mbadala	metabolome profiling, metabolic profiling, metabonomics, metabolite profiling	eQTL mapping, expression QTL analysis, transcriptomic QTL analysis, eQTL study
Zinazohusiana	6	6
Muhtasari	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.	eQTL analysis identifies genomic loci (variants, typically SNPs) whose genotype statistically associates with variation in the expression level of one or more genes. By jointly profiling DNA-level variation and RNA-level expression in the same individuals, eQTL studies decode the regulatory grammar of the genome — revealing which variants control how much a gene is transcribed, in which tissues, and under what conditions.