Computing the Role of Alternative Splicing in Cancer

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.

Automated summary

This review summarizes the latest computational approaches to studying alternative splicing in cancer and highlights the current limitations of popular tools in this field. Additionally, some of the current computational challenges in characterizing the role of alternative splicing in cancer are discussed.