Most human genes undergo alternative splicing (AS), and dysregulation of alternative splicing contributes to tumor initiation and progression. Computational analysis of genomic and transcriptomic data enables the systematic characterization of alternative splicing and its functional role in cancer. In this review, we summarize the latest computational approaches to studying alternative splicing in cancer and the current limitations of the most popular tools in this field. Finally, we describe some of the current computational challenges in the characterization of the role of alternative splicing in cancer.

中文翻译：

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计算选择性剪接在癌症中的作用

大多数人类基因经历选择性剪接（AS），选择性剪接的失调有助于肿瘤的发生和进展。基因组和转录组数据的计算分析能够系统地表征可变剪接及其在癌症中的功能作用。在这篇综述中，我们总结了研究癌症可变剪接的最新计算方法以及该领域最流行工具的当前局限性。最后，我们描述了当前在表征选择性剪接在癌症中的作用方面的一些计算挑战。