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GRCh38人类参考基因组对高通量测序数据分析的改进及影响

Improvements and impacts of GRCh38 human reference on high throughput sequencing data analysis.

作者信息

Guo Yan, Dai Yulin, Yu Hui, Zhao Shilin, Samuels David C, Shyr Yu

机构信息

Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA.

Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA.

出版信息

Genomics. 2017 Mar;109(2):83-90. doi: 10.1016/j.ygeno.2017.01.005. Epub 2017 Jan 26.

Abstract

Analyses of high throughput sequencing data starts with alignment against a reference genome, which is the foundation for all re-sequencing data analyses. Each new release of the human reference genome has been augmented with improved accuracy and completeness. It is presumed that the latest release of human reference genome, GRCh38 will contribute more to high throughput sequencing data analysis by providing more accuracy. But the amount of improvement has not yet been quantified. We conducted a study to compare the genomic analysis results between the GRCh38 reference and its predecessor GRCh37. Through analyses of alignment, single nucleotide polymorphisms, small insertion/deletions, copy number and structural variants, we show that GRCh38 offers overall more accurate analysis of human sequencing data. More importantly, GRCh38 produced fewer false positive structural variants. In conclusion, GRCh38 is an improvement over GRCh37 not only from the genome assembly aspect, but also yields more reliable genomic analysis results.

摘要

高通量测序数据分析始于与参考基因组的比对,这是所有重测序数据分析的基础。人类参考基因组的每次新版本都在准确性和完整性方面有所提升。据推测,人类参考基因组的最新版本GRCh38将通过提供更高的准确性,为高通量测序数据分析做出更大贡献。但改进的程度尚未量化。我们开展了一项研究,比较GRCh38参考基因组与其前身GRCh37之间的基因组分析结果。通过对比对、单核苷酸多态性、小插入/缺失、拷贝数和结构变异的分析,我们发现GRCh38对人类测序数据的分析总体上更准确。更重要的是,GRCh38产生的假阳性结构变异更少。总之,GRCh38不仅在基因组组装方面优于GRCh37,还能产生更可靠的基因组分析结果。

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