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

被引：2
作者：
Wolff, Joachim [1 ]
Abdennur, Nezar [2 ]
Backofen, Rolf [1 ,3 ,4 ]
Gruening, Bjorn [1 ]
机构：
[1] Univ Freiburg, Dept Comp Sci, Bioinformat Grp, D-79110 Freiburg, Germany
[2] MIT, Inst Med Engn & Sci, Cambridge, MA 02139 USA
[3] Univ Freiburg, Signalling Res Ctr BIOSS, D-79104 Freiburg, Germany
[4] Univ Freiburg, Signalling Res Ctr CIBSS, D-79104 Freiburg, Germany
来源：
BIOINFORMATICS | 2021年 / 37卷 / 14期
关键词：
D O I：
10.1093/bioinformatics/btaa924
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：2053 / 2054
页数：2
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