HiCBricks: building blocks for efficient handling of large Hi-C datasets.
basic_science · Level V
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- Record sourced from PubMed, PMID 31697323.
- Also identified by DOI 10.1093/bioinformatics/btz808 and PMC identifier 7703765.
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Abstract
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. http://bioconductor.org/packages/devel/bioc/html/HiCBricks.html. Supplementary data are available at Bioinformatics online.