The positioning of nucleosomes along chromatin has been implicated in the regulation of gene expression in eukaryotic cells, because packaging DNA into nucleosomes affects sequence accessibility. In this paper we propose a new model (called MLM) for the identification of nucleosomes and linker regions across DNA, consisting in a thresholding technique based on cut-set conditions. For this purpose we have defined a method to generate synthetic microarray data fully inspired from the approach that has been used by Yuan et al. Results have shown a good recognition rate on synthetic data, moreover, the $MLM$ shows a good agreement with the recently published method based on Hidden Markov Model when tested on Saccharomyces cerevisiae chromosomes microarray data.
Corona, D., Di Gesù, V., Lo Bosco, G., Pinello, L., Collesano, M., Yuan, G.C. (2008). A Multi-layer model to study Genome-Scale Positions of Nucleosomes. In V. Di Gesù, G. Lo Bosco, M. Maccarone (a cura di), Modelling and Simulation in Science (pp. 169-177). Singapore : World Scientific.
A Multi-layer model to study Genome-Scale Positions of Nucleosomes
CORONA, Davide;DI GESU', Vito;LO BOSCO, Giosue';PINELLO, Luca;
2008-01-01
Abstract
The positioning of nucleosomes along chromatin has been implicated in the regulation of gene expression in eukaryotic cells, because packaging DNA into nucleosomes affects sequence accessibility. In this paper we propose a new model (called MLM) for the identification of nucleosomes and linker regions across DNA, consisting in a thresholding technique based on cut-set conditions. For this purpose we have defined a method to generate synthetic microarray data fully inspired from the approach that has been used by Yuan et al. Results have shown a good recognition rate on synthetic data, moreover, the $MLM$ shows a good agreement with the recently published method based on Hidden Markov Model when tested on Saccharomyces cerevisiae chromosomes microarray data.File | Dimensione | Formato | |
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