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首页> 外文期刊>BMC Bioinformatics >GenAPI: a tool for gene absence-presence identification in fragmented bacterial genome sequences
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GenAPI: a tool for gene absence-presence identification in fragmented bacterial genome sequences

机译:Genapi:碎片细菌基因组序列中基因缺失鉴定的工具

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BACKGROUND:Bacterial gene loss and acquisition is a well-known phenomenon which contributes to bacterial adaptation through changes in important phenotypes such as virulence, antibiotic resistance and metabolic capability. While advances in DNA sequencing have accelerated our ability to generate short genome sequence reads to disentangle phenotypic changes caused by gene loss and acquisition, the short-read genome sequencing often results in fragmented genome assemblies as a basis for identification of gene loss and acquisition events. However, sensitive and precise determination of gene content change for fragmented genome assemblies remains challenging as analysis needs to account for cases when only a fragment of the gene is assembled or when the gene assembly is split in more than one contig.RESULTS:We developed GenAPI, a command-line tool that is designed to compare the gene content of bacterial genomes for which only fragmented genome assemblies are available. GenAPI, unlike other available tools of similar purpose, accounts for imperfections in sequencing and assembly, and aims to compensate for them. We tested the performance of GenAPI on three different datasets to show that GenAPI has a high sensitivity while it maintains precision when dealing with partly assembled genes in both simulated and real datasets. Furthermore, we benchmarked the performance of GenAPI with six popular tools for gene presence-absence identification.CONCLUSIONS:Our developed bioinformatics tool, called GenAPI, has the same precision and recall rates when analyzing complete genome sequences as the other tools of the same purpose; however, GenAPI's performance is markedly better on fragmented genome assemblies.
机译:背景:细菌基因损失和采集是一种众所周知的现象,可通过重要表型的变化导致细菌适应,例如毒力,抗生素抗性和代谢能力。虽然DNA测序的进展加速了我们产生短基因组序列的能力读取因基因损失和采集引起的脱刻表型变化,但短读基因组测序经常导致碎片化的基因组组合作为鉴定基因损失和收购事件的基础。然而,由于分析需要在组装基因片段或者基因组装在多于一个contig中分裂时,敏感的基因组组件对基因含量变化的敏感和精确测定仍然具有挑战性。结果:我们开发了Genapi ,旨在比较仅可用于碎片基因组组件的细菌基因组的基因含量的命令线工具。与类似目的的其他可用工具不同,Genapi是针对排序和装配的缺陷,并旨在弥补它们。我们测试了Genapi在三个不同的数据集中的性能,以表明Genapi具有高灵敏度,同时在仿真和实际数据集中处理部分组装的基因时保持精确度。此外,我们将Genapi的性能与六种流行的基因存在缺失识别进行了基准。结论:我们的发达的生物信息学工具称为Genapi,在分析完整的基因组序列作为相同目的的其他工具时具有相同的精度和召回率;然而,Genapi的性能在片段化的基因组组件上显着更好。

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