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Self-organizing Approach for Automated Gene Identification in Whole Genomes

Alexander N. Gorban·Andrey Yu. Zinovyev·Tatyana G. Popova
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Abstract

An 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.

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Alexander N. Gorban, Andrey Yu. Zinovyev, Tatyana G. Popova. 2001-08-10. Self-organizing Approach for Automated Gene Identification in Whole Genomes. https://arxiv.org/abs/physics/0108016

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