Towards a robust algorithm to determine topological domains from colocalization data
arXiv:1601.01253 · doi:10.3934/biophy.2015.4.503
Abstract
One of the most important tasks in understanding the complex spatial organization of the genome consists in extracting information about this spatial organization, the function and structure of chromatin topological domains from existing experimental data, in particular, from genome colocalization (Hi-C) matrices. Here we present an algorithm allowing to reveal the underlying hierarchical domain structure of a polymer conformation from analyzing the modularity of colocalization matrices. We also test this algorithm on several model polymer structures: equilibrium globules, random fractal globules and regular fractal (Peano) conformations. We define what we call a spectrum of cluster borders, and show that these spectra behave strikingly differently for equilibrium and fractal conformations, allowing us to suggest an additional criterion to identify fractal polymer conformations.
References in corpus (6)
- Modularity and community structure in networks
- Synchronization in complex networks
- Ring polymers in the melt state: the physics of crumpling
- Annealed lattice animal model and Flory theory for the melt of non-concatenated rings: Towards the physics of crumpling
- Anomalous diffusion in fractal globules
- Coalescence Model for Crumpled Globules Formed in Polymer Collapse