Self-organizing Approach for Automated Gene Identification in Whole Genomes

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dc.creatorGorban, Alexander N.
dc.creatorZinovyev, Andrey Yu.
dc.creatorPopova, Tatyana G.
dc.date2001-08-10
dc.date.accessioned2026-07-07T05:46:11Z
dc.date.available2026-07-07T05:46:11Z
dc.descriptionAn approach based on using the idea of distinguished coding phase in explicit form for identification of protein-coding regions (exons) in whole genome has been proposed. For several genomes an optimal window length for averaging GC-content function and calculating codon frequencies has been found. Self-training procedure based on clustering in multidimensional space of triplet frequencies is proposed. For visualization of data in the space of triplet requiencies method of elastic maps was applied.
dc.descriptionLaTex, RevTex4, 4 pages, 6 figures
dc.identifierhttps://arxiv.org/abs/physics/0108016
dc.identifierhttp://arxiv.org/abs/physics/0108016
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/84248
dc.subjectBiological Physics
dc.subjectGenomics
dc.titleSelf-organizing Approach for Automated Gene Identification in Whole Genomes
dc.typetext

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