HiBrowse: Multi-purpose statistical analysis of genome-wide chromatin 3D organization

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Abstract

Summary: Recently developed methods that couple next-generation sequencing with chromosome conformation capture-based techniques, such as Hi-C and ChIA-PET, allow for characterization of genome-wide chromatin 3D structure. Understanding the organization of chromatin in three dimensions is a crucial next step in the unraveling of global gene regulation, and methods for analyzing such data are needed. We have developed HiBrowse, a user-friendly web-tool consisting of a range of hypothesis-based and descriptive statistics, using realistic assumptions in null-models. © 2014 The Author 2014.

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Paulsen, J., Sandve, G. K., Gundersen, S., Lien, T. G., Trengereid, K., & Hovig, E. (2014). HiBrowse: Multi-purpose statistical analysis of genome-wide chromatin 3D organization. Bioinformatics, 30(11), 1620–1622. https://doi.org/10.1093/bioinformatics/btu082

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