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Reconstruction of Ring Chromosomes Using Paired-End Sequencing Data

机译:配对结束测序数据重建环染色体

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Ring chromosomes are genomic abnormalities that occur when DNA is lost at the p-arm and q-arm telomeres, causing the fusion of the altered chromosomal arms into a ring-like shape. Ring chromosomes cause genetic disorders that lead to diseases such as epilepsy and Turner syndrome. Algorithms to detect ring chromosomes using next-generation sequencing (NGS) data can provide rapid and high-resolution methods to detect these abnormalities in utero, which is essential for genetic counseling and diagnosis. However, to date, there are no algorithms that exist for the problem of detecting ring chromosomes using NGS data. In this study, we present an algorithm called RingScreen that uses paired-end sequencing data to determine the presence if ring chromosomes. On simulated data, the method accurately predicted the presence of synthetic rings on 18 of 23 human chromosomes. The method takes advantage of several hallmarks of ring chromosome onset that are reflected in the paired reads that map the p-arm/q-arm junction, and in the read depth in areas flanking the breakpoint.
机译:环染色体是在P臂和Q臂端粒处丢失DNA时发生的基因组异常,导致改变的染色体臂融合成环状形状。环染色体会导致遗传疾病导致癫痫和特纳综合征等疾病。使用下一代测序(NGS)数据检测环染色体的算法可以提供快速和高分辨率的方法,以检测子宫内的这些异常,这对于遗传咨询和诊断至关重要。然而,迄今为止,没有存在使用NGS数据检测环染色体的问题的算法。在这项研究中,我们介绍了一种称为ringscreen的算法,该算法使用配对端测序数据来确定环染色体的存在。在模拟数据上,该方法准确地预测了18个人染色体18的合成环的存在。该方法利用了若干环形染色体发作的标志,其反映在配对的读取中,该成对读取的读取P臂/ Q臂结,并且在侧翼断点的区域中的读取深度。

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