SVmine improves structural variation detection by integrative mining of predictions from multiple al

来源 :2016年第三届全国功能基因组学学术峰会 | 被引量 : 0次 | 上传用户:pie1011
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Structural variation (SV) is an important class of genomic variations in human genomes.Until recently,a number of SV detection algorithms based on high-throughput sequencing data have been developed,but they have various,often limited,level of sensitivity,specificity and resolution for SV detection and overlap between predictions of two algorithms is still relatively low.
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