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Comparison of computational methods for Hi-C data analysis.

Autori

Forcato M, Nicoletti C, Pal K, Livi CM, Ferrari F, Bicciato S.

Riferimenti

Nature methods 14(7) 679-685, 2017

Autori CNR

FERRARI

Moduli

Abstract

Hi-C is a genome-wide sequencing technique to investigate the 3D chromatin conformation inside the nucleus. The most studied structures that can be identified from Hi-C - chromatin interactions and topologically associating domains (TADs) - require computational methods to analyze genome-wide contact probability maps. We quantitatively compared the performances of 13 algorithms for the analysis of Hi-C data from 6 landmark studies and simulations. The comparison revealed clear differences in the performances of methods to identify chromatin interactions and more comparable results of algorithms for TAD detection.

Link all articolo

https://www.nature.com/articles/nmeth.4325

Parole Chiave

Note

10.1038/nmeth.4325

Indietro


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