Abstract
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.
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Acknowledgments
This work was supported by a core grant from the Wellcome Trust. We thank Dr. John Calarco and Dr. Gonzalo Riadi for useful comments over this chapter and Camilo Fuentes Beals for software testing.
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Parada, G.E., Hemberg, M. (2022). Identification and Quantification of Microexons Using Bulk and Single-Cell RNA-Seq Data. In: Scheiffele, P., Mauger, O. (eds) Alternative Splicing. Methods in Molecular Biology, vol 2537. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2521-7_8
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DOI: https://doi.org/10.1007/978-1-0716-2521-7_8
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