4.7 Article

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

期刊

BIOINFORMATICS
卷 37, 期 14, 页码 2053-2054

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa924

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资金

  1. German Science Foundation [CRC992]
  2. German Federal Ministry of Education and Research [031 A538A de. NBI-RBC, 031 L0101C de. NBI-epi]
  3. German Research Foundation (DFG) under Germany's Excellence Strategy [CIBSSEXC-2189, 390939984]

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The current lack of efficient data storage format in single-cell Hi-C research has led to the development of scool, which provides a user-friendly and storage-saving approach for single-cell Hi-C data with stable API support.
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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