GenomeDISCO: a concordance score for chromosome conformation capture experiments using random walks on contact map graphs
Author(s) -
Oana Ursu,
Nathan Boley,
Maryna Taranova,
Y. X. Rachel Wang,
Galip Gürkan Yardımcı,
William Stafford Noble,
Anshul Kundaje
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty164
Subject(s) - chromosome conformation capture , chromatin , concordance , benchmark (surveying) , replicate , computer science , chromosome , similarity (geometry) , noise (video) , graph , computational biology , data mining , artificial intelligence , pattern recognition (psychology) , biology , theoretical computer science , bioinformatics , mathematics , genetics , gene , statistics , cartography , gene expression , enhancer , image (mathematics) , geography
The three-dimensional organization of chromatin plays a critical role in gene regulation and disease. High-throughput chromosome conformation capture experiments such as Hi-C are used to obtain genome-wide maps of three-dimensional chromatin contacts. However, robust estimation of data quality and systematic comparison of these contact maps is challenging due to the multi-scale, hierarchical structure of chromatin contacts and the resulting properties of experimental noise in the data. Measuring concordance of contact maps is important for assessing reproducibility of replicate experiments and for modeling variation between different cellular contexts.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom