De novo assembly and genotyping of variants using colored de Bruijn graphs.

De novo assembly and genotyping of variants using colored de Bruijn graphs.
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使用彩色de bruijn图的从头组装和基因分型。

DOI:
10.1038/ng.1028
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发表时间:
2012-01-08
期刊:
影响因子:
30.8
通讯作者:
McVean, Gil
McVean, Gil
中科院分区:
生物学1区
文献类型:
--
作者:
Iqbal, Zamin;Caccamo, Mario;Turner, Isaac;Flicek, Paul;McVean, Gil

文献摘要

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检测与参考序列高度不同的遗传变体仍然是基因组测序中的主要挑战。我们介绍从头组装算法使用彩色de Bruijn图检测和基因分型简单和复杂的遗传变异的个人或群体。我们提供了一个有效的软件实现,皮质;第一从头组装能够同时组装多个真核生物基因组。介绍了Cortex的四个应用。首先,我们检测和验证简单和复杂的结构变异在一个高覆盖率的人类基因组。其次,我们确定了超过3 Mb的新序列,在汇集的低覆盖率的人口序列数据从1000个基因组计划。第三,我们展示了10只黑猩猩的种群信息如何在没有参考序列的情况下实现准确的变异呼叫。最后,我们估计在人类基因组中最可变的基因HLA-B的经典HLA基因型。
Detecting genetic variants that are highly divergent from a reference sequence remains a major challenge in genome sequencing. We introduce de novo assembly algorithms using colored de Bruijn graphs for detecting and genotyping simple and complex genetic variants in an individual or population. We provide an efficient software implementation, Cortex; the first de novo assembler capable of assembling multiple eukaryote genomes simultaneously. Four applications of Cortex are presented. First, we detect and validate both simple and complex structural variation in a high coverage human genome. Second, we identify over 3Mb of novel sequence in pooled low-coverage population sequence data from the 1000 Genomes Project. Third, we show how population information from 10 chimpanzees enables accurate variant calls without a reference sequence. Finally, we estimate classical HLA genotypes at HLA-B, the most variable gene in the human genome.
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