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Metabolomics Complexity in Forest Trees Expected from Inron-Exon Gene Structure
T.E. Koralewski1, L.A. Zhivotovsky2,3, and K.V. Krutovsky4
Graduate Student, 4Associate Professor, Department of Ecosystem Science and Management,
Texas A&M University, College Station, TX 77843-2135, USA; 2Senior Scientist, N.I. Vavilov
Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia;
Professor, Morrison Institute for Population and Resource Studies, Stanford University,
Stanford, CA 94305-5020, USA
Computer analysis has been used to infer exon-intron structure from completely sequenced plant
and animal genomes. Through modeling of alternative splicing the metabolomics complexity
has been predicted for different species including forest trees.