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BioinformaticsBioinformatics
Peer-reviewed journal article

CscoreTool: Fast Hi-C Compartment Analysis at High Resolution

Xiaobin ZhengiD, Yixian ZhengiD

Abstract

SummaryThe chromosome conformation capture (Hi-C) has revealed that the eukaryotic genome can be partitioned into A and B compartments that have distinctive chromatin and transcription features. Current Principle Component Analyses (PCA)-based method for the prediction of A/B compartment prediction from Hi-C data requires substantial CPU time and memory. We report the development of a method, CscoreTool, that enables fast and memory-efficient determination of A/B compartments at high resolution even in dataset with low sequencing depth.\n\nAvailabilitygithub.com/scoutzxb/CscoreTool\n\nContactxzheng@carnegiescience.edu

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02 /Specification & Classification

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