Deformability of DNA is important for its superhelical folding in the nucleosome and has long been thought to be facilitated by periodic occurrences of certain dinucleotides along the sequences, with the period close ...Deformability of DNA is important for its superhelical folding in the nucleosome and has long been thought to be facilitated by periodic occurrences of certain dinucleotides along the sequences, with the period close to 10.5 bases. This study statistically examines the conformational properties of dinucleotides containing the 10.5 - base periodicity and those without that periodicity through scanning all nucleosome structures provided in PDB. By categorizing performances on the distribution of step parameter values, averaged net values, standard deviations and deformability based on step conformational energies, we give a detailed description as to the deformation preferences correlated with the periodicity for the 10 unique types of dinucleotides and summarize the possible roles of various steps in how they facilitate DNA bending. The results show that the structural properties of dinucleotide steps are influenced to various extents by the periodicity in nucleosomes and some periodic steps have shown a clear tendency to take specific bending or shearing patterns.展开更多
Accurate identification of protein-coding regions （exons） in DNA sequences has been a challenging task in bioinformatics. Particularly the coding regions have a 3-base periodicity, which forms the basis of all exon ...Accurate identification of protein-coding regions （exons） in DNA sequences has been a challenging task in bioinformatics. Particularly the coding regions have a 3-base periodicity, which forms the basis of all exon identifica- tion methods. Many signal processing tools and techniques have been applied successfully for the identification task but still improvement in this direction is needed. In this paper, we have introduced a new promising model-independent time-frequency filtering technique based on S-transform for accurate identification of the coding regions. The S-transform is a powerful linear time-frequency representation useful for filtering in time-frequency domain. The potential of the proposed technique has been assessed through simulation study and the results obtained have been compared with the existing methods using standard datasets. The comparative study demonstrates that the proposed method outperforms its counterparts in identifying the coding regions.展开更多
文摘Deformability of DNA is important for its superhelical folding in the nucleosome and has long been thought to be facilitated by periodic occurrences of certain dinucleotides along the sequences, with the period close to 10.5 bases. This study statistically examines the conformational properties of dinucleotides containing the 10.5 - base periodicity and those without that periodicity through scanning all nucleosome structures provided in PDB. By categorizing performances on the distribution of step parameter values, averaged net values, standard deviations and deformability based on step conformational energies, we give a detailed description as to the deformation preferences correlated with the periodicity for the 10 unique types of dinucleotides and summarize the possible roles of various steps in how they facilitate DNA bending. The results show that the structural properties of dinucleotide steps are influenced to various extents by the periodicity in nucleosomes and some periodic steps have shown a clear tendency to take specific bending or shearing patterns.
文摘Accurate identification of protein-coding regions （exons） in DNA sequences has been a challenging task in bioinformatics. Particularly the coding regions have a 3-base periodicity, which forms the basis of all exon identifica- tion methods. Many signal processing tools and techniques have been applied successfully for the identification task but still improvement in this direction is needed. In this paper, we have introduced a new promising model-independent time-frequency filtering technique based on S-transform for accurate identification of the coding regions. The S-transform is a powerful linear time-frequency representation useful for filtering in time-frequency domain. The potential of the proposed technique has been assessed through simulation study and the results obtained have been compared with the existing methods using standard datasets. The comparative study demonstrates that the proposed method outperforms its counterparts in identifying the coding regions.
