ViralFusionSeq
Computational Tool
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General Information
DescriptionAccurately discover viral integration events and reconstruct fusion transcripts at single-base resolution
Homepagehttp://hkbic.cuhk.edu.hk/software/viralfusionseq
Publications
ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution
Jing-Woei Li; Raymond Wan; Chi-Shing Yu; Ngai Na Co; Nathalie Wong; Ting-Fung Chan
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
Contact : tf.chan@cuhk.edu.hk
Supplementary information : Supplementary data are available at Bioinformatics Online
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