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Integrated Sequence Assembly-based Approach for Calling Genomic Long Insertion

机译:基于集成序列组装的方法,用于呼叫基因组长插入

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With the application and development of high-throughput sequencing technology, the detection methods of structural variants based on sequencing have emerged. However, since the high-throughput sequencing reads is relatively short compared to the previous sequencing reads, it is difficult to detect long insertion. Although assembly-based approach can solve long insertion, the computational resources used for assembly are too complex, resulting in poor results of assembly and final detection. To this end, ISALins was proposed, firstly the initial results of three different detection tools were merged; then high quality soft-cilpped reads and unmapped reads which is the set of most probable reads containing information of insertion were analyzed and extracted around the initial suspect SV breakpoints; finally these reads were assembled using assembly tool based on De Bruijn Graphs. By experimenting on both simulated and real data, we found that the method was superior to the single tool in detecting precision and sensitivity. Compared with the direct combination of call results of multiple tools, in ensuring detection sensitivity of the premise, ISALins significantly improved the detection accuracy.
机译:随着高通量测序技术的应用和开发,出现了基于测序的结构变体检测方法。然而,由于与先前的测序读取相比,由于高通量测序读取相对较短,因此难以检测长插入。虽然基于组装的方法可以解决长时间的插入,但用于组装的计算资源过于复杂,导致组装和最终检测结果不佳。为此,提出了Isalins,首先是三种不同检测工具的初始结果合并;然后,分析了高质量的软读数读取和未映射的读取,该读取是包含插入信息的最可能读取的集合,并在初始嫌疑人SV断点周围提取;最后,使用基于De Bruijn图表的组装工具组装这些读取。通过对模拟和实际数据进行实验,我们发现该方法优于检测精度和灵敏度的单一工具。与多种工具呼叫结果的直接组合相比,在确保前提的检测灵敏度时,Isalins显着提高了检测精度。

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