全基因组测序比较拷贝数变异

A. Janevski, V. Varadan, S. Kamalakaran, N. Banerjee, N. Dimitrova
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引用次数: 1

摘要

全基因组测序能够实现人类基因组的高分辨率视图,并能够以前所未有的规模对拷贝数变化进行独特的见解。已经引入了许多工具和研究,提供了确凿的证据和新的个体以及跨群体的基因组结构变异数据。我们使用两个这样的工具,CNV-seq和FREEC来比较它们在代表四个种群的五个全基因组序列上的输出。我们将重点关注这些工具从两组已知在不同人群中变化的片段中检测片段的能力,并讨论开发检测人类基因组中拷贝数变化的工具的方向和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative copy number variation from whole genome sequencing
Whole genome sequencing enables a high resolution view of the human genome and enables unique insights into copy number variations on an unprecedented scale. Numerous tools and studies have already been introduced that provide confirmatory evidence and new genomic structure variation data in individuals as well as across populations. We utilize two such tools, CNV-seq and FREEC to compare their outputs when applied to five whole genome sequences representing four populations. We focus on the ability of these tools to detect segments from two sets of segments known to vary across populations, and discuss the direction and the challenges in developing tools that detect copy number variation in collections of human genomes.
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