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Discovery of tandem and interspersed segmental duplications using high-throughput sequencing

机译:使用高吞吐量测序发现串联和散布的分段重复

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Motivation: Several algorithms have been developed that use high-throughput sequencing technology to characterize structural variations (SVs). Most of the existing approaches focus on detecting relatively simple types of SVs such as insertions, deletions and short inversions. In fact, complex SVs are of crucial importance and several have been associated with genomic disorders. To better understand the contribution of complex SVs to human disease, we need new algorithms to accurately discover and genotype such variants. Additionally, due to similar sequencing signatures, inverted duplications or gene conversion events that include inverted segmental duplications are often characterized as simple inversions, likewise, duplications and gene conversions in direct orientation may be called as simple deletions. Therefore, there is still a need for accurate algorithms to fully characterize complex SVs and thus improve calling accuracy of more simple variants.
机译:动机:已经开发了几种算法,该算法使用高通量测序技术来表征结构变化(SVS)。 大多数现有方法专注于检测相对简单的SV类,例如插入,删除和短路。 实际上,复杂的SV是至关重要的,并且有几次与基因组疾病有关。 为了更好地了解复杂SVS对人类疾病的贡献,我们需要新的算法来准确发现和基因型这种变体。 另外,由于类似的测序签名,包括倒置的节段性重复的倒重复或基因转换事件通常表征为简单的逆转,同样,可以称为简单缺失的重复和直接方向的转化。 因此,仍然需要准确的算法来完全表征复杂的SV,从而提高更简单变体的呼叫准确性。

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