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HiCBricks: building blocks for efficient handling of large Hi-C datasets.
Pal, Koustav; Tagliaferri, Ilario; Livi, Carmen M; Ferrari, Francesco.
  • Pal K; IFOM, the FIRC Institute of Molecular Oncology, Milan, Italy.
  • Tagliaferri I; IFOM, the FIRC Institute of Molecular Oncology, Milan, Italy.
  • Livi CM; IFOM, the FIRC Institute of Molecular Oncology, Milan, Italy.
  • Ferrari F; IFOM, the FIRC Institute of Molecular Oncology, Milan, Italy.
Bioinformatics ; 2019 Nov 07.
Article en En | MEDLINE | ID: mdl-31697323
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.