scool
scool provides a Cooler-derived file format for storing and organizing single-cell Hi-C contact matrices to enable efficient storage, retrieval, and analysis of 3D genome interactions at single-cell resolution.
Key Features:
- Storage efficiency: Reduces the storage burden of single-cell Hi-C datasets and minimizes preprocessing requirements.
- Sparse matrix support: Adapts to sparse interaction matrices while preserving high-resolution data integrity.
- Cooler compatibility: Derives from the established cooler format to maintain compatibility with tools and pipelines that use cooler.
- Stable API support: Provides stable API compatibility from cooler version 0.8.9 onward.
Scientific Applications:
- Single-cell 3D genome analysis: Enables analysis of chromatin interactions and 3D genome organization at single-cell resolution.
- Cell-type-specific regulatory studies: Facilitates investigation of cell-to-cell heterogeneity and cell-type-specific regulatory mechanisms in gene expression.
Methodology:
Adapts the established cooler format for single-cell Hi-C by leveraging cooler's data model, handling sparse interaction matrices, and maintaining high-resolution data integrity.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 2/13/2021
Operations
Publications
Wolff J, Abdennur N, Backofen R, Grüning B. Scool: a new data storage format for single-cell Hi-C data. Bioinformatics. 2020;37(14):2053-2054. doi:10.1093/bioinformatics/btaa924. PMID:33135074. PMCID:PMC8337000.
PMID: 33135074
Funding: - German Science Foundation: CRC992
- German Federal Ministry of Education and Research: 031 A538A
- RBC: 031 L0101C
- CIBSS-EXC-2189-Project: 390939984