期刊
FRONTIERS IN PLANT SCIENCE
卷 14, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2023.1232466
关键词
alternative splicing; RNA-seq; Iso-seq; detection algorithm; deep learning; pantranscriptome
This article discusses the importance of alternative splicing in plants and how algorithms and deep learning techniques can be used to identify and analyze alternative splicing events. It also highlights the significance of conducting alternative splicing studies in a pan-genomic background, as well as the importance of integrated strategies.
In plants, alternative splicing is a crucial mechanism for regulating gene expression at the post-transcriptional level, which leads to diverse proteins by generating multiple mature mRNA isoforms and diversify the gene regulation. Due to the complexity and variability of this process, accurate identification of splicing events is a vital step in studying alternative splicing. This article presents the application of alternative splicing algorithms with or without reference genomes in plants, as well as the integration of advanced deep learning techniques for improved detection accuracy. In addition, we also discuss alternative splicing studies in the pan-genomic background and the usefulness of integrated strategies for fully profiling alternative splicing.
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