OctopusV和TentacleSV:用于多样本、跨平台结构变体比较和分析的一站式工具包。

Qingxiang Guo, Yangyang Li, Tingyou Wang, Abhi Ramakrishnan, Rendong Yang
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引用次数: 0

摘要

结构变异(SVs)显著影响基因组变异性和疾病,但它们在多个样本和测序平台上的准确分析仍然具有挑战性。我们开发了OctopusV,这是一个将歧义中断(BND)注释标准化为规范SV类型(倒置、重复、易位)的工具,并使用灵活的集合操作(如联合、交集、差异和互补)集成变体调用,从而实现特定于队列的变体识别。与自动化管道TentacleSV一起,OctopusV提供了从原始数据到最终调用集的端到端解决方案。评估结果显示,该方法提高了准确性、召回率和一致性,突出了其在癌症基因组学和罕见疾病诊断中的价值。这两个工具都可以在https://github.com/ylab-hi/OctopusV和https://github.com/ylab-hi/TentacleSV上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OctopusV and TentacleSV: a one-stop toolkit for multi-sample, cross-platform structural variant comparison and analysis.

Structural variants (SVs) significantly influence genomic variability and disease, but their accurate analysis across multiple samples and sequencing platforms remains challenging. We developed OctopusV, a tool that standardizes ambiguous breakend (BND) annotations into canonical SV types (inversions, duplications, translocations) and integrates variant calls using flexible set operations, such as union, intersection, difference, and complement, enabling cohort-specific variant identification. Together with TentacleSV, an automated pipeline, OctopusV provides an end-to-end solution from raw data to final callsets. Evaluations show improved precision, recall, and consistency, highlighting its value in cancer genomics and rare disease diagnostics. Both tools are available at https://github.com/ylab-hi/OctopusV and https://github.com/ylab-hi/TentacleSV.

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