Virus-Clip: a fast and memory-efficient viral integration site detection tool at single-base resolution with annotation capability

作者：Daniel Wai‐Hung Ho, Karen Sze, Irene Oi‐Lin Ng · 发表于：Oncotarget · 年份：2015 · DOI：10.18632/oncotarget.4187 · 被引用次数：59 · 研究领域：Bacteriophages and microbial interactions、Respiratory viral infections research、Plant Virus Research Studies

// Daniel WH Ho 1,2 , Karen MF Sze 1,2 and Irene OL Ng 1,2 1 Department of Pathology, The University of Hong Kong, Hong Kong, China 2 State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong, China Correspondence to: Daniel WH. Ho, email: // Irene OL. Ng, email: // Keywords : viral integration, breakpoint detection, viral integration site detection, next-generation sequencing Received : January 20, 2015 Accepted : May 12, 2015 Published : May 19, 2015 Abstract Viral integration into the human genome upon infection is an important risk factor for various human malignancies. We developed viral integration site detection tool called Virus-Clip, which makes use of information extracted from soft-clipped sequencing reads to identify exact positions of human and virus breakpoints of integration events. With initial read alignment to virus reference genome and streamlined procedures, Virus-Clip delivers a simple, fast and memory-efficient solution to viral integration site detection. Moreover, it can also automatically annotate the integration events with the corresponding affected human genes. Virus-Clip has been verified using whole-transcriptome sequencing data and its detection was validated to have satisfactory sensitivity and specificity. Marked advancement in performance was detected, compared to existing tools. It is applicable to versatile types of data including whole-genome sequencing, whole-transcriptome sequencing, and targeted sequencing. Virus-C...