SCAFE: a software suite for analysis of transcribed cis-regulatory elements in single cells

被引:7
作者
Moody, Jonathan [1 ]
Kouno, Tsukasa [1 ]
Chang, Jen-Chien [1 ]
Ando, Yoshinari [1 ]
Carninci, Piero [1 ,2 ]
Shin, Jay W. [1 ,3 ]
Hon, Chung-Chau [1 ]
机构
[1] RIKEN Ctr Integrat Med Sci, Yokohama, Kanagawa 2300045, Japan
[2] Human Technopole, I-20157 Milan, Italy
[3] ASTAR, Genome Inst Singapore, 60 Biopolis St,02-01, Singapore 138672, Singapore
关键词
EXPRESSION;
D O I
10.1093/bioinformatics/btac644
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation Cell type-specific activities of cis-regulatory elements (CRE) are central to understanding gene regulation and disease predisposition. Single-cell RNA 5 ' end sequencing (sc-end5-seq) captures the transcription start sites (TSS) which can be used as a proxy to measure the activity of transcribed CREs (tCREs). However, a substantial fraction of TSS identified from sc-end5-seq data may not be genuine due to various artifacts, hindering the use of sc-end5-seq for de novo discovery of tCREs. Results We developed SCAFE-Single-Cell Analysis of Five-prime Ends-a software suite that processes sc-end5-seq data to de novo identify TSS clusters based on multiple logistic regression. It annotates tCREs based on the identified TSS clusters and generates a tCRE-by-cell count matrix for downstream analyses. The software suite consists of a set of flexible tools that could either be run independently or as pre-configured workflows. Availability and implementation SCAFE is implemented in Perl and R. The source code and documentation are freely available for download under the MIT License from . Docker images are available from . The submitted software version and test data are archived at and , respectively. Supplementary information are available at Bioinformatics online.
引用
收藏
页码:5126 / 5128
页数:3
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