High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows the study of DNA interactions and 3D chromosome folding at the genome-wide scale. Usually, these data are represented as matrices describing the binary contacts among the different chromosome regions. On the other hand, a graph-based representation can be advantageous to describe the complex topology achieved by the DNA in the nucleus of eukaryotic cells.

Advantages of using graph databases to explore chromatin conformation capture experiments

Aldinucci, Marco;
2021-01-01

Abstract

High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows the study of DNA interactions and 3D chromosome folding at the genome-wide scale. Usually, these data are represented as matrices describing the binary contacts among the different chromosome regions. On the other hand, a graph-based representation can be advantageous to describe the complex topology achieved by the DNA in the nucleus of eukaryotic cells.
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https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03937-0.pdf
Hi-C, Chromatin capture, Graph databases, Graph visualisation
D’Agostino, Daniele; Liò, Pietro; Aldinucci, Marco; Merelli, Ivan
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1787302
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