Metabolomics technology and bioinformatics.
Metabolomics is the global analysis of all or a large number of cellular metabolites. Like other functional genomics research, metabolomics generates large amounts of data. Handling, processing and analysis of this data is a clear challenge and requires specialized mathematical, statistical and bioinformatics tools. Metabolomics needs for bioinformatics span through data and information management, raw analytical data processing, metabolomics standards and ontology, statistical analysis and data mining, data integration and mathematical modelling of metabolic networks within a framework of systems biology. The major approaches in metabolomics, along with the modern analytical tools used for data generation, are reviewed in the context of these specific bioinformatics needs.
Shulaev
Vladimir
V
Virginia Bioinformatics Institute, Washington Street, Blacksburg, VA 24061, USA. vshulaev@vbi.vt.edu
D000818:Animals; D001709:Biotechnology / Q000379:methods* / Q000639:trends; D002468:Cell Physiological Phenomena; D019295:Computational Biology / Q000379:methods* / Q000639:trends; D020869:Gene Expression Profiling / Q000379:methods* / Q000639:trends; D005786:Gene Expression Regulation / Q000502:physiology*; D006801:Humans; D008660:Metabolism / Q000502:physiology; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics / Q000379:methods* / Q000639:trends; D015398:Signal Transduction / Q000502:physiology*
D020543:Proteome