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BreakDancer:通过双末端读段比对识别基因组结构变异

BreakDancer: Identification of Genomic Structural Variation from Paired-End Read Mapping.

作者信息

Fan Xian, Abbott Travis E, Larson David, Chen Ken

机构信息

Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd Unit 1410, Houston, TX 77030.

The Genome Institute at Washington University in St. Louis, 4444 Forest Park Ave., St. Louis, MO 63108.

出版信息

Curr Protoc Bioinformatics. 2014;45:15.6.1-11. doi: 10.1002/0471250953.bi1506s45.

Abstract

The advent of the next-generation sequencing data has made it possible to cost-effectively detect and characterize genomic variation in human genomes. Structural variation, including deletion, duplication, insertion, inversion and translocation, is of great importance to human genetics due to its association with many genetic diseases. BreakDancer is a bioinformatics tool that relates paired-end read alignments from a test genome to the reference genome for the purpose of comprehensively and accurately detecting various types of structural variation.

摘要

下一代测序数据的出现使得经济高效地检测和表征人类基因组中的基因组变异成为可能。结构变异,包括缺失、重复、插入、倒位和易位,因其与许多遗传疾病相关,对人类遗传学具有重要意义。BreakDancer是一种生物信息学工具,它将测试基因组的双末端读段比对与参考基因组相关联,以便全面准确地检测各种类型的结构变异。

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