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Fourth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'04)
Techniques for Enhancing Computation of DNA Curvature Molecules
Taichung, Taiwan, ROC
May 19-May 21
ISBN: 0-7695-2173-8
Daniele Masotti, Politecnico di Torino, Italy
Elisa Ficarra, Politecnico di Torino, Italy
Enrico Macii, Politecnico di Torino, Italy
Luca Benini, University of Bologna, Italy
An automated algorithm is presented to determine the DNA molecule intrinsic curvature profiles and the molecular spatial orientations in Atomic Force Microscope images. The curvature is composed by static and dynamic contributions. The former is the intrinsic curvature, a function of the DNA nucleotide sequence, while the latter is due to thermal fluctuations. This algorithm allows to reconstruct the intrinsic curvature profile excluding the thermal contribution. The automated algorithm reconstructs the intrinsic curvature profile with a mean square error of 3.8122 ? 10{-4} rads over a profile with a central peak value of 0.196 rads, and 6.1 ? 10{-3} rads over a curvature profile with two symmetric peaks of about 0.08 rads. Moreover, it correctly detects the location of the peaks in the molecules with a deviation of about 1% of molecule length.
Index Terms:
DNA curvature, optimization problem, AFM images
Citation:
Daniele Masotti, Elisa Ficarra, Enrico Macii, Luca Benini, "Techniques for Enhancing Computation of DNA Curvature Molecules," bibe, pp.22, Fourth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'04), 2004
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