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

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.

SUBMITTER: Pal K

PROVIDER: S-EPMC7703765 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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

Pal Koustav K Tagliaferri Ilario I Livi Carmen M CM Ferrari Francesco F

Bioinformatics (Oxford, England) 20191107

<h4>Summary</h4>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 c ...[more]

PMID: 31697323

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