通读嵌合RNA被认为是扩展功能转录组的一种手段，并且在错误调控时有助于癌症肿瘤的发生。然而，当前的软件工具通常无法预测它们。我们开发了 RTCpredictor，利用快速 ripgrep 工具来搜索亲本基因对的所有可能的外显子-外显子组合。我们还添加了外显子变体，允许搜索包含常见的 SNP。据我们所知，这是第一个通读嵌合RNA特异性预测方法，也提供断点坐标。与其他 10 个流行工具相比，RTCpredictor 在模拟数据集和三个真实数据集上实现了高灵敏度。此外，RTCpredictor 的内存需求更少，执行时间更快，非常适合应用于大型数据集。© 作者 2024。由牛津大学出版社出版。

Read-through chimeric RNAs are being recognized as a means to expand the functional transcriptome and contribute to cancer tumorigenesis when mis-regulated. However, current software tools often fail to predict them. We have developed RTCpredictor, utilizing a fast ripgrep tool to search for all possible exon-exon combinations of parental gene pairs. We also added exonic variants allowing searches containing common SNPs. To our knowledge, it is the first read-through chimeric RNA specific prediction method that also provides breakpoint coordinates. Compared with 10 other popular tools, RTCpredictor achieved high sensitivity on a simulated and three real datasets. In addition, RTCpredictor has less memory requirements and faster execution time, making it ideal for applying on large datasets.© The Author(s) 2024. Published by Oxford University Press.