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Updated: Jan 4, 2026

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
Published on: May 6, 2010
HiCBricks: building blocks for efficient handling of large Hi-C datasets
Koustav Pal1, Ilario Tagliaferri1, Carmen M Livi1
1IFOM, the FIRC Institute of Molecular Oncology, Milan, Italy.
Summary:
Genome-wide chromosome conformation capture based on high-throughput sequencing (Hi-C) has been widely adopted to study chromatin architecture by generating datasets of ever-increasing complexity and size. HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides an R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms. HiCBricks already incorporates functions for calling domain boundaries and functions for high quality data visualization.
Availability:
http://bioconductor.org/packages/devel/bioc/html/HiCBricks.html.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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