Computational methods for optical mapping.

Computational methods for optical mapping.
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DOI:
10.1186/2047-217x-3-33
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发表时间:
2014
期刊:
影响因子:
9.2
通讯作者:
Pop M
Pop M
中科院分区:
生物学2区
文献类型:
--
作者:
Mendelowitz L;Pop M

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基于切口酶的光学图谱和较新的基因组图谱技术提供低分辨率但长距离的基因组信息。光学图谱技术已成功用于评估基因组组装的质量以及检测使用当前配对末端测序方案无法检测到的大规模结构变异和重排。在这里,我们回顾了用于构建一致光学图谱并将限制模式与参考图谱对齐的几种算法和方法,以及使用光学图谱和序列组装的方法。
Optical mapping and newer genome mapping technologies based on nicking enzymes provide low resolution but long-range genomic information. The optical mapping technique has been successfully used for assessing the quality of genome assemblies and for detecting large-scale structural variants and rearrangements that cannot be detected using current paired end sequencing protocols. Here, we review several algorithms and methods for building consensus optical maps and aligning restriction patterns to a reference map, as well as methods for using optical maps with sequence assemblies.