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

Articolo
Data di Pubblicazione:
2020
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
HiCBricks
Elenco autori:
Ferrari, Francesco
Autori di Ateneo:
FERRARI FRANCESCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/368364
Pubblicato in:
BIOINFORMATICS (OXF., ONLINE)
Journal
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URL

https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btz808/5614425
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