Spectral classification of short numerical exon and intron sequences
نویسندگان
چکیده
منابع مشابه
Novel methodologies for spectral classification of exon and intron sequences
Digital processing of a nucleotide sequence requires it to be mapped to a numerical sequence in which the choice of nucleotide to numeric mapping affects how well its biological properties can be preserved and reflected from nucleotide domain to numerical domain. Digital spectral analysis of nucleotide sequences unfolds a period-3 power spectral value which is more prominent in an exon sequence...
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We have shown earlier that analysis of DNA sequences using a two-dimensional graphical representation provides considerable information on new global sequence patterns and homologies, repeated structures, relative base abundances, probable evolutionary paths and evolutionary divergence. We have also reported that at a more micro level the graphical representation reveals distinct differences in...
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DNA sequences coding for protein may be represented by counts of nucleotides or codons. A complete reading frame may be abbreviated by its base count, e.g. A76C158G121T74, or with the corresponding codon table, e.g. (AAA)0(AAC)1(AAG)9 ... (TTT)0. We propose that these numerical designations be used to augment current methods of sequence annotation. Because base counts and codon tables do not re...
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The reaction mechanism for self-splicing introns requires the existence of a 5' exon binding site on the intron. Experimental evidence is now presented consistent with the existence of such a binding site by demonstrating efficient and accurate trans-self-splicing of a yeast mitochondrial group II intron. Partial and complete transsplicing reactions take place in the absence of branch formation...
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This paper presents a new technique for the detection of short exons in DNA sequences. In this method, we analyze four DNA structural properties, which include the DNA bending stiffness, disrupt energy, free energy, and propeller twist, using the autoregressive (AR) model. The linear prediction matrices for the four features are combined to find the same set of linear prediction coefficients, f...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2011
ISSN: 1471-2105
DOI: 10.1186/1471-2105-12-s11-a13