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Analysis of stochastic polymer models and reconstruction of chromatin organization in cell nucleus

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The organization of the cell nucleus is still unclear. Stochastic polymer physics has been recently used to predict the local chromatin organisation. The methods are based on asymptotic expansion of the first eigenvalues in high dimensions, computation of the mean first passage time for a polymer to loop, construction of new polymer models with a prescribed anomalous exponent. Consequences are extraction of new information from single particle trajectories and reconstruction of local chromatin organization from high throughput data of matrices of 10^6106 (Chromosomal Capture data) for the distances between chromatin sites.

This talk is part of the Biological and Statistical Physics discussion group (BSDG) series.

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