title: Segmentation of short human exons based on spectral features of double curves.
abstract: This paper presents a new segmentation method based on spectral analysis to locate borders between short protein coding regions and non-coding regions. We formulate the innovative double curve representation of a DNA sequence and apply local three-codon measurement on the discrete Fourier spectral features at 1/3 frequency to identify short protein coding regions. The proposed spectral segmentation method based on double curves requires no prior knowledge of the DNA data. Our simulation results show that the proposed spectral method greatly improves the accuracy of identifying short coding regions in DNA sequences compared with the results obtained from the other methods that analyse DNA sequences directly.
authors.affiliation: School of Electrical and Information Engineering, University of Sydney, NSW 2006, Australia. june@ee.usyd.edu.au
authors.forename: Rong
authors.initials: R
authors.lastname: Jiang
authors.forename: Hong
authors.initials: H
authors.lastname: Yan
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D005091:Exons / Q000235:genetics*; D006801:Humans; D008969:Molecular Sequence Data; D016366:Open Reading Frames / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*