BioinformaticsBioinformaticsPeer-reviewed journal article
HiC-Spector: A matrix library for spectral and reproducibility analysis of Hi-C contact maps
Koon‐Kiu YaniD, Galip Gürkan YardımcıiD, Chengfei YaniD, William Stafford NobleiD, Mark GersteiniD
Abstract
SummaryGenome-wide proximity ligation based assays like Hi-C have opened a window to the 3D organization of the genome. In so doing, they present data structures that are different from conventional 1D signal tracks. To exploit the 2D nature of Hi-C contact maps, matrix techniques like spectral analysis are particularly useful. Here, we present HiC-spector, a collection of matrix-related functions for analyzing Hi-C contact maps. In particular, we introduce a novel reproducibility metric for quantifying the similarity between contact maps based on spectral decomposition. The metric successfully separates contact maps mapped from Hi-C data coming from biological replicates, pseudo-replicates and different cell types.\n\nAvailabilitySource code in Julia and the documentation of HiC-spector can be freely obtained at https://github.com/gersteinlab/HiC_spector\n\nContactpi@gersteinlab.org
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