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XCAVATOR:从二代和三代全基因组测序实验中准确检测和基因分型拷贝数变异。

XCAVATOR: accurate detection and genotyping of copy number variants from second and third generation whole-genome sequencing experiments.

机构信息

Department of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, Florence, 50134, Italy.

Medical Genetics Unit, Department of Medical and Surgical Sciences, Polyclinic Sant'Orsola-Malpighi, University of Bologna, Via Zamboni 33, Bologna, 40126, Italy.

出版信息

BMC Genomics. 2017 Sep 21;18(1):747. doi: 10.1186/s12864-017-4137-0.

Abstract

BACKGROUND

We developed a novel software package, XCAVATOR, for the identification of genomic regions involved in copy number variants/alterations (CNVs/CNAs) from short and long reads whole-genome sequencing experiments.

RESULTS

By using simulated and real datasets we showed that our tool, based on read count approach, is capable to predict the boundaries and the absolute number of DNA copies CNVs/CNAs with high resolutions. To demonstrate the power of our software we applied it to the analysis Illumina and Pacific Bioscencies data and we compared its performance to other ten state of the art tools.

CONCLUSION

All the analyses we performed demonstrate that XCAVATOR is capable to detect germline and somatic CNVs/CNAs outperforming all the other tools we compared. XCAVATOR is freely available at http://sourceforge.net/projects/xcavator/ .

摘要

背景

我们开发了一种新的软件包 XCAVATOR,用于从短读和长读全基因组测序实验中鉴定涉及拷贝数变异/改变(CNVs/CNAs)的基因组区域。

结果

通过使用模拟和真实数据集,我们表明,我们的工具基于读取计数方法,能够以高分辨率预测 DNA 拷贝数 CNVs/CNAs 的边界和绝对数量。为了展示我们软件的强大功能,我们将其应用于 Illumina 和 Pacific Bioscencies 数据分析,并将其性能与其他十种最先进的工具进行了比较。

结论

我们进行的所有分析都表明,XCAVATOR 能够检测种系和体细胞 CNVs/CNAs,优于我们比较的所有其他工具。XCAVATOR 可在 http://sourceforge.net/projects/xcavator/ 免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59bd/5609061/9efd50391e84/12864_2017_4137_Fig1_HTML.jpg

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