ViralFusionSeq: Accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution

Li, J. W., Wan, R., Yu, C. S., Wong, N., & Chan, T. F. (2013). ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution. Bioinformatics, 29(5), 649-651.

Abstract

Summary: Insertional mutagenesis from virus infection is an important pathogenic risk for the development of cancer. Despite the advent of high-throughput sequencing, discovery of viral integration sites and expressed viral fusion events are still limited. Here, we present ViralFusionSeq (VFS), which combines soft-clipping information, read-pair analysis and targeted de novo assembly to discover and annotate viral–human fusions. VFS was used in an RNA-Seq experiment, simulated DNA-Seq experiment and re-analysis of published DNA-Seq datasets. Our experiments demonstrated that VFS is both sensitive and highly accurate.

Availability: VFS is distributed under GPL version 3 at http://hkbic.cuhk.edu.hk/software/viralfusionseq