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Hierarchical block matrices as efficient representations of chromosome topologies and their application for 3C data integration
2015
Bioinformatics
Motivation: Recent advancements in molecular methods have made it possible to capture physical contacts between multiple chromatin fragments. The resulting association matrices provide a noisy estimate for average spatial proximity that can be used to gain insights into the genome organization inside the nucleus. However, extracting topological information from these data is challenging and their integration across resolutions is still poorly addressed. Recent findings suggest that a
doi:10.1093/bioinformatics/btv736
pmid:26685310
fatcat:be53e54djzaq3jvgejrv3ezm5u