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Bioinformatics. 2019 Nov 7. pii: btz808. doi: 10.1093/bioinformatics/btz808. [Epub ahead of print]

HiCBricks: building blocks for efficient handling of large Hi-C datasets.

Author information

1
IFOM, the FIRC Institute of Molecular Oncology, Milan, Italy.
2
Institute of Molecular Genetics, National Research Council, Pavia, Italy.

Abstract

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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