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  1. Temlyakova E.A., Sorokin A.A.
    Detection of promoter and non-promoter E.coli sequences by analysis of their electrostatic profiles
    Computer Research and Modeling, 2015, v. 7, no. 2, pp. 347-359

    The article is devoted to the idea of using physical properties of DNA instead of sequence along for the aspect of accurate search and annotation of various prokaryotic genomic regions. Particulary, the possibility to use electrostatic potential distribution around DNA sequence as a classifier for identification of a few functional DNA regions was demonstrated. A number of classification models was built providing discrimination of promoters and non-promoter regions (random sequences, coding regions and promoter-like sequences) with accuracy value about 83–85%. The most valueable regions for the discrimination were determined and expected to play a certain role in the process of DNA-recognition by RNA-polymerase.

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International Interdisciplinary Conference "Mathematics. Computing. Education"