Resolving complex structural genomic rearrangements using a randomized approach.

Resolving complex structural genomic rearrangements using a randomized approach.
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DOI:
10.1186/s13059-016-0993-1
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发表时间:
2016-06-10
期刊:
影响因子:
12.3
通讯作者:
Mills RE
Mills RE
中科院分区:
生物学1区
文献类型:
--
作者:
Zhao X;Emery SB;Myers B;Kidd JM;Mills RE

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复杂染色体重排是结构性基因组改变,涉及缺失、重复、倒位或易位的多个实例,其共同发生在同一染色体上或代表同源染色体上的不同重叠事件。我们提出了SVelter,一种算法,该算法识别基因组的区域怀疑窝藏一个复杂的事件,然后通过迭代重排本地基因组结构,以随机的方式解决结构,每个结构对观察到的测序数据的特征进行评分。与已经用短读段和长读段深度测序的充分表征的基因组相比,SVelter能够准确地重建复杂的染色体重排。本文的在线版本(doi:10.1186/s13059-016-0993-1)包含补充材料,可供授权用户使用。
Complex chromosomal rearrangements are structural genomic alterations involving multiple instances of deletions, duplications, inversions, or translocations that co-occur either on the same chromosome or represent different overlapping events on homologous chromosomes. We present SVelter, an algorithm that identifies regions of the genome suspected to harbor a complex event and then resolves the structure by iteratively rearranging the local genome structure, in a randomized fashion, with each structure scored against characteristics of the observed sequencing data. SVelter is able to accurately reconstruct complex chromosomal rearrangements when compared to well-characterized genomes that have been deeply sequenced with both short and long reads. The online version of this article (doi:10.1186/s13059-016-0993-1) contains supplementary material, which is available to authorized users.