Specific splice junction detection in single cells with SICILIAN

被引:10
作者
Dehghannasiri, Roozbeh [1 ,2 ]
Olivieri, Julia Eve [1 ,2 ]
Damljanovic, Ana [3 ]
Salzman, Julia [1 ,2 ]
机构
[1] Stanford Univ, Dept Biochem, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Biomed Data Sci, Stanford, CA 94305 USA
[3] Seven Bridges Genom Inc, Cambridge, MA 02142 USA
基金
美国国家科学基金会;
关键词
RNA;
D O I
10.1186/s13059-021-02434-8
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Precise splice junction calls are currently unavailable in scRNA-seq pipelines such as the 10x Chromium platform but are critical for understanding single-cell biology. Here, we introduce SICILIAN, a new method that assigns statistical confidence to splice junctions from a spliced aligner to improve precision. SICILIAN is a general method that can be applied to bulk or single-cell data, but has particular utility for single-cell analysis due to that data's unique challenges and opportunities for discovery. SICILIAN's precise splice detection achieves high accuracy on simulated data, improves concordance between matched single-cell and bulk datasets, and increases agreement between biological replicates. SICILIAN detects unannotated splicing in single cells, enabling the discovery of novel splicing regulation through single-cell analysis workflows.
引用
收藏
页数:13
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