首页> 美国卫生研究院文献>BMC Medical Genomics >Detecting virus integration sites based on multiple related sequencing data by VirTect
【2h】

Detecting virus integration sites based on multiple related sequencing data by VirTect

机译:通过VirTect基于多个相关测序数据检测病毒整合位点

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

BackgroundSince tumor often has a high level of intra-tumor heterogeneity, multiple tumor samples from the same patient at different locations or different time points are often sequenced to study tumor intra-heterogeneity or tumor evolution. In virus-related tumors such as human papillomavirus- and Hepatitis B Virus-related tumors, virus genome integrations can be critical driving events. It is thus important to investigate the integration sites of the virus genomes. Currently, a few algorithms for detecting virus integration sites based on high-throughput sequencing have been developed, but their insufficient performance in their sensitivity, specificity and computational complexity hinders their applications in multiple related tumor sequencing.
机译:背景由于肿瘤通常具有较高的肿瘤内异质性,因此经常对来自同一患者不同位置或不同时间点的多个肿瘤样品进行测序,以研究肿瘤内异质性或肿瘤进化。在与人乳头瘤病毒和乙型肝炎病毒相关的病毒相关肿瘤中,病毒基因组整合可能是关键的驱动事件。因此,重要的是调查病毒基因组的整合位点。当前,已经开发了几种基于高通量测序的检测病毒整合位点的算法,但是它们在敏感性,特异性和计算复杂性方面的不足表现阻碍了它们在多种相关肿瘤测序中的应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号