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Deconvolution and phylogeny inference of structural variations in tumor genomic samples

机译:肿瘤基因组样品结构变化的折卷积和系统发育

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Motivation: Phylogenetic reconstruction of tumor evolution has emerged as a crucial tool for making sense of the complexity of emerging cancer genomic datasets. Despite the growing use of phylogenetics in cancer studies, though, the field has only slowly adapted to many ways that tumor evolution differs from classic species evolution. One crucial question in that regard is how to handle inference of structural variations (SVs), which are a major mechanism of evolution in cancers but have been largely neglected in tumor phylogenetics to date, in part due to the challenges of reliably detecting and typing SVs and interpreting them phylogenetically.
机译:动机:肿瘤演化的系统发育重建是一种关键工具,用于了解新出现的癌症基因组数据集的复杂性。 尽管癌症研究中越来越多地使用癌症学,但该领域仅慢慢适应许多方式,肿瘤进化与经典物种演化不同。 这方面的一个至关重要的问题是如何处理结构变异(SV)的推理,这是癌症中癌症的主要机制,但在肿瘤发育学中已经大大忽略了迄今为止,部分原因是可靠地检测和键入SV的挑战 并解释它们的系统源性。

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