Metabolomics by numbers: acquiring and understanding global metabolite data

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Royston Goodacre and Seetharaman Vaidyanathan and 
                 Warwick B. Dunn and George G. Harrigan and 
                 Douglas B. Kell",
  title =        "Metabolomics by numbers: acquiring and understanding
                 global metabolite data",
  journal =      "Trends in Biotechnology",
  year =         "2004",
  volume =       "22",
  number =       "5",
  pages =        "245--252",
  month =        "1 " # may,
  keywords =     "genetic algorithms, genetic programming, ILP",
  URL =          "",
  DOI =          "doi:10.1016/j.tibtech.2004.03.007",
  abstract =     "In this postgenomic era, there is a specific need to
                 assign function to orphan genes in order to validate
                 potential targets for drug therapy and to discover new
                 biomarkers of disease. Metabolomics is an emerging
                 field that is complementary to the other 'omics and
                 proving to have unique advantages. As in
                 transcriptomics or proteomics, a typical metabolic
                 fingerprint or metabolomic experiment is likely to
                 generate thousands of data points, of which only a
                 handful might be needed to describe the problem
                 adequately. Extracting the most meaningful elements of
                 these data is thus key to generating useful new
                 knowledge with mechanistic or explanatory power.",
  notes =        "many topics covered not just GP",

Genetic Programming entries for Royston Goodacre Seetharaman Vaidyanathan Warwick B Dunn George G Harrigan Douglas B Kell