Open Access Highly Accessed Method

SOAPfuse: an algorithm for identifying fusion transcripts from paired-end RNA-Seq data

Wenlong Jia, Kunlong Qiu, Minghui He, Pengfei Song, Quan Zhou, Feng Zhou, Yuan Yu, Dandan Zhu, Michael L Nickerson, Shengqing Wan, Xiangke Liao, Xiaoqian Zhu, Shaoliang Peng, Yingrui Li, Jun Wang and Guangwu Guo*

For all author emails, please log on.

Genome Biology 2013, 14:R12 doi:10.1186/gb-2013-14-2-r12

Published: 14 February 2013

Abstract (provisional)

We have developed a new method, SOAPfuse, to identify fusion transcripts from paired-end RNA-seq data. SOAPfuse applies an improved partial exhaustion algorithm to construct a library of fusion junction sequences, which can be used to efficiently identify fusion events, and employs a series of filters to nominate high-confidence fusion transcripts. Compared with other released tools, SOAPfuse achieves higher detection efficiency and consumed less computing resources. We applied SOAPfuse to RNA-seq data from two bladder cancer cell lines, and confirmed 15 fusion transcripts, including several novel events common to both cell lines. SOAPfuse is available at http://soap.genomics.org.cn/soapfuse.html.

The complete article is available as a provisional PDF. The fully formatted PDF and HTML versions are in production.