Scool: A new data storage format for single-cell Hi-C data

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Abstract

Motivation: Single-cell Hi-C research currently lacks an efficient, easy to use and shareable data storage format. Recent studies have used a variety of sub-optimal solutions: publishing raw data only, text-based interaction matrices, or reusing established Hi-C storage formats for single interaction matrices. These approaches are storage and pre-processing intensive, require long labour time and are often error-prone. Results: The single-cell cooler file format (scool) provides an efficient, user-friendly and storage-saving approach for single-cell Hi-C data. It is a flavour of the established cooler format and guarantees stable API support.

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Wolff, J., Abdennur, N., Backofen, R., & Grüning, B. (2021). Scool: A new data storage format for single-cell Hi-C data. Bioinformatics, 37(14), 2053–2054. https://doi.org/10.1093/bioinformatics/btaa924

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