Wellcome Sanger Institute, Cambridge, UK.
Donnelly Centre for Cellular and Biomolecular Research and Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
Methods Mol Biol. 2022;2537:129-147. doi: 10.1007/978-1-0716-2521-7_8.
The analysis of RNA-seq has greatly improved the characterization and understanding of the transcriptome. In particular, RNA-seq experiments have extended catalogs of alternative splicing events. However, the analysis of RNAs-seq data for detection and quantification of microexons, extremely short exons of length up to 30 nt, require specialized computational workflows. Here, we describe MicroExonator, a reproducible computational workflow for microexon splicing analysis using bulk or single-cell RNA-seq data.
RNA-seq 的分析极大地提高了对转录组的描述和理解。特别是，RNA-seq 实验扩展了可变剪接事件的目录。然而，为了检测和定量长度达 30nt 的极短外显子，需要专门的计算工作流程来分析 RNA-seq 数据。在这里，我们描述了 MicroExonator，这是一种使用批量或单细胞 RNA-seq 数据进行微外显子剪接分析的可重复计算工作流程。
