Abstract
Summary: Genome-wide chromosome conformation capture (Hi-C) is a technique that allows the study of 3D genome organization. Despite being widely used, analysis of Hi-C data is technically challenging and involves several time-consuming steps that often require manual involvement making it error prone, potentially affecting data reproducibility. In order to facilitate and simplify these analyses we implemented snHiC, a snakemake-based pipeline that allows for the generation of contact matrices at multiple resolutions in one single run, aggregation of individual samples into user-specified groups, detection of domains, compartments, loops and stripes and performance of differential compartment and chromatin interaction analyses.
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CITATION STYLE
Gregoricchio, S., & Zwart, W. (2023). SnHiC: A complete and simplified snakemake pipeline for grouped Hi-C data analysis. Bioinformatics Advances, 3(1). https://doi.org/10.1093/bioadv/vbad080
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