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2009 IEEE/ACS International Conference on Computer Systems and Applications
Spatial organization of DNA: from the physical data to the 3D model
Rabat, Morocco
May 10-May 13
ISBN: 978-1-4244-3807-5
| ASCII Text | x | ||
| M. Essabbah, S. Otmane, M. Mallem, J. Herisson, "Spatial organization of DNA: from the physical data to the 3D model," Computer Systems and Applications, ACS/IEEE International Conference on, pp. 880-883, 2009 IEEE/ACS International Conference on Computer Systems and Applications, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/AICCSA.2009.5069435, author = {M. Essabbah and S. Otmane and M. Mallem and J. Herisson}, title = {Spatial organization of DNA: from the physical data to the 3D model}, journal ={Computer Systems and Applications, ACS/IEEE International Conference on}, volume = {0}, year = {2009}, isbn = {978-1-4244-3807-5}, pages = {880-883}, doi = {http://doi.ieeecomputersociety.org/10.1109/AICCSA.2009.5069435}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Systems and Applications, ACS/IEEE International Conference on TI - Spatial organization of DNA: from the physical data to the 3D model SN - 978-1-4244-3807-5 SP880 EP883 A1 - M. Essabbah, A1 - S. Otmane, A1 - M. Mallem, A1 - J. Herisson, PY - 2009 VL - 0 JA - Computer Systems and Applications, ACS/IEEE International Conference on ER - | |||
Behind its spatial organization, the DNA's molecule conceals a rich functional reality. As a result, the study of the DNA's organization is increasingly attracting scientists. However, researches conducted until now are either local, or global but based on approximations and predictions that make the obtained model less credible. On the other hand, further researches on chromosomes' organization have identified some data and models representing, each one, a part of this organization. Our work aims to find a 3D repesentation that is global and more credible of the DNA's molecule. The molecule will be represented at the chromatin fiber level by means of 3D modeling algorithms. Initially, we have identified the biophysical data to be exploited. Indeed, we will first rely on the biophysical data of the chromatin fiber's structure as the persistence length along with the diameter, the confined volume and the curvature energy in order to build a first simple model of the chromatine.
Citation:
M. Essabbah, S. Otmane, M. Mallem, J. Herisson, "Spatial organization of DNA: from the physical data to the 3D model," aiccsa, pp.880-883, 2009 IEEE/ACS International Conference on Computer Systems and Applications, 2009
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