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© Research
Publication : Nature communications

Computer vision for pattern detection in chromosome contact maps.

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Nature communications - 16 Nov 2020

Matthey-Doret C, Baudry L, Breuer A, Montagne R, Guiglielmoni N, Scolari V, Jean E, Campeas A, Chanut PH, Oriol E, Méot A, Politis L, Vigouroux A, Moreau P, Koszul R, Cournac A,

Link to Pubmed [PMID] – 33199682

Link to DOI – 10.1038/s41467-020-19562-7

Nat Commun 2020 11; 11(1): 5795

Chromosomes of all species studied so far display a variety of higher-order organisational features, such as self-interacting domains or loops. These structures, which are often associated to biological functions, form distinct, visible patterns on genome-wide contact maps generated by chromosome conformation capture approaches such as Hi-C. Here we present Chromosight, an algorithm inspired from computer vision that can detect patterns in contact maps. Chromosight has greater sensitivity than existing methods on synthetic simulated data, while being faster and applicable to any type of genomes, including bacteria, viruses, yeasts and mammals. Our method does not require any prior training dataset and works well with default parameters on data generated with various protocols.