Abstract
The genome-wide 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 A/B compartment prediction based on Hi-C data requires substantial CPU time and memory. We report the development of a method, CscoreTool, which enables fast and memory-efficient determination of A/B compartments at high resolution even in datasets with low sequencing depth. Availability and implementation https://github.com/scoutzxb/CscoreTool Contact xzheng@carnegiescience.edu Supplementary informationSupplementary dataare available at Bioinformatics online.
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CITATION STYLE
Zheng, X., & Zheng, Y. (2018). CscoreTool: Fast Hi-C compartment analysis at high resolution. Bioinformatics, 34(9), 1568–1570. https://doi.org/10.1093/bioinformatics/btx802
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