Ruining Dong, Daniel Cameron, Justin Bedo, Anthony T Papenfuss
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引用次数: 0
摘要
线粒体基因组的核整合和逆转录转录本插入是结构变异(SV)注释的重要生物学方面,但往往被忽视。虽然已有用于检测它们的工具,但这些工具通常依赖于使用专用检测器对原始数据进行再分析,而不是利用通用结构变异调用器的调用。这种重新分析可能会导致额外的计算费用,而且无法利用通用结构变异调用的进步。在此,我们介绍了 svaRetro 和 svaNUMT;这两个 R 软件包提供了注释新基因组事件的功能,如非参考反转录本和线粒体 DNA 的核整合。这些软件包是在 Bioconductor 框架内开发的。我们利用模拟和公共基准数据集评估了这些软件包检测事件的性能,并在公共结构变异数据库中注释了处理过的转录本。svaRetro 和 svaNUMT 为结构变异调用的下游注释提供了模块化、与 SV 调用器无关的工具。
svaRetro and svaNUMT: modular packages for annotating retrotransposed transcripts and nuclear integration of mitochondrial DNA in genome sequencing data.
Nuclear integration of mitochondrial genomes and retrocopied transcript insertion are biologically important but often-overlooked aspects of structural variant (SV) annotation. While tools for their detection exist, these typically rely on reanalysis of primary data using specialised detectors rather than leveraging calls from general purpose structural variant callers. Such reanalysis potentially leads to additional computational expense and does not take advantage of advances in general purpose structural variant calling. Here, we present svaRetro and svaNUMT; R packages that provide functions for annotating novel genomic events, such as nonreference retrocopied transcripts and nuclear integration of mitochondrial DNA. The packages were developed to work within the Bioconductor framework. We evaluate the performance of these packages to detect events using simulations and public benchmarking datasets, and annotate processed transcripts in a public structural variant database. svaRetro and svaNUMT provide modular, SV-caller agnostic tools for downstream annotation of structural variant calls.