Facilitating genome structural variation analysis

被引：0
|
作者：
Mile Sikic
机构：
[1] A*STAR,Laboratory of AI in Genomics, Genome Institute of Singapore
[2] University of Zagreb,Faculty of Electrical Engineering and Computing
来源：
Nature Methods | 2023年 / 20卷
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摘要：
Although structural variation is less explored than single-nucleotide variation, recent studies have shown it to be associated with several human diseases. Three fresh computational methods might help to elucidate this inadequately understood part of our genetic makeup.
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页码：491 / 492
页数：1
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