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Metabolomics is the scientific study of chemical processes involving metabolites, the small molecule substrates, intermediates, and products of cell metabolism. Specifically, metabolomics is the "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite ...
Diagram illustrating genomics. Omics is the collective characterization and quantification of entire sets of biological molecules and the investigation of how they translate into the structure, function, and dynamics of an organism or group of organisms.
The first book on metabolomics was published in 2003. [5] The first journal dedicated to metabolomics (titled simply "Metabolomics") was launched in 2005 and is currently edited by Prof. Roy Goodacre. Some of the more significant early papers on metabolome analysis are listed in the references below. [6] [7] [8] [9]
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
Metabolite Set Enrichment Analysis (MSEA) is a method designed to help metabolomics researchers identify and interpret patterns of metabolite concentration changes in a biologically meaningful way. [1] It is conceptually similar to another widely used tool developed for transcriptomics called Gene Set Enrichment Analysis or GSEA. [2]
To begin a session on MetPA users must first have a list of significant compounds derived from a metabolomic tests or compounds and concentration data with information about the phenotype of the organisms under study. The list of compounds can include common names, HMDB IDs or KEGG IDs with one compound per row. Compound concentration tables ...
Further sources include the book "Systems Biology" by B. Palsson dedicated to the subject [14] and a useful tutorial and paper by J. Orth. [15] Many other sources of information on the technique exist in published scientific literature including Lee et al. 2006, [16] Feist et al. 2008, [17] and Lewis et al. 2012.
The HMDB facilitates human metabolomics research, including the identification and characterization of human metabolites using NMR spectroscopy, GC-MS spectrometry and LC/MS spectrometry. To aid in this discovery process, the HMDB contains three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data (Fig ...