An optimized workflow of full-length transcriptome sequencing for accurate fusion transcript identification

Next-generation sequencing has revolutionized cancer genomics by enabling high-throughput mutation screening yet detecting fusion genes reliably remains challenging. Long-read sequencing offers potential for accurate fusion transcript identification, though challenges persist. In this study, we pres...

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Bibliographic Details
Main Authors:	Liang Zong, Yabing Zhu, Yuan Jiang, Ying Xia, Qun Liu, Jing Wang, Song Gao, Bei Luo, Yongxian Yuan, Jingjiao Zhou, Sanjie Jiang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	RNA Biology
Subjects:	Full-length transcriptome long-read sequencing gene fusion library preparation optimization data integration
Online Access:	https://www.tandfonline.com/doi/10.1080/15476286.2024.2425527
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An optimized workflow of full-length transcriptome sequencing for accurate fusion transcript identification

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