Measuring the reproducibility and quality of Hi-C data

Measuring the reproducibility and quality of Hi-C data

Abstract Background Hi-C is currently the most widely used assay to investigate the 3D organization of the genome and to study its role in gene regulation, DNA replication, and disease. However, Hi-C experiments are costly to perform and involve multiple complex experimental steps; thus, accurate me...

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Bibliographic Details
Main Authors: Galip Gürkan Yardımcı, Hakan Ozadam, Michael E. G. Sauria, Oana Ursu, Koon-Kiu Yan, Tao Yang, Abhijit Chakraborty, Arya Kaul, Bryan R. Lajoie, Fan Song, Ye Zhan, Ferhat Ay, Mark Gerstein, Anshul Kundaje, Qunhua Li, James Taylor, Feng Yue, Job Dekker, William S. Noble
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Genome Biology
Online Access:http://link.springer.com/article/10.1186/s13059-019-1658-7

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http://link.springer.com/article/10.1186/s13059-019-1658-7

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