INDEL Mutation

INDEL 突变
  • 文章类型: Journal Article
    ssODN指导的基因编辑的作用机制自成立以来一直是CRISPR基因编辑领域内讨论的主题。多个可比,但截然不同,已经发现了有和没有修复模板寡核苷酸的DNA修复途径。我们之前已经描述了寡核苷酸驱动的DNA修复的Exact途径,由两步DNA合成驱动的修复组成,该修复由双链断裂上游和下游的修复寡核苷酸(ssODN)的同时结合催化。为了更好地阐明基于Exact的修复机制,在其他类似的基于非ssODN的DNA修复机制中,我们用这些概述对该通路的假设提出了挑战.ExACT途径的这种更全面的迭代更好地描述了在CRISPR切割后,在修复寡核苷酸的存在下可以发生DNA修复的许多不同方式。以及这些先前不同的途径如何重叠并导致更独特的修复结果。
    The mechanism of action of ssODN-directed gene editing has been a topic of discussion within the field of CRISPR gene editing since its inception. Multiple comparable, but distinct, pathways have been discovered for DNA repair both with and without a repair template oligonucleotide. We have previously described the ExACT pathway for oligo-driven DNA repair, which consisted of a two-step DNA synthesis-driven repair catalyzed by the simultaneous binding of the repair oligonucleotide (ssODN) upstream and downstream of the double-strand break. In order to better elucidate the mechanism of ExACT-based repair, we have challenged the assumptions of the pathway with those outlines in other similar non-ssODN-based DNA repair mechanisms. This more comprehensive iteration of the ExACT pathway better described the many different ways where DNA repair can occur in the presence of a repair oligonucleotide after CRISPR cleavage, as well as how these previously distinct pathways can overlap and lead to even more unique repair outcomes.
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  • 文章类型: Journal Article
    下一代测序技术(NGS)的出现和持续发展导致人类基因组重测序数据的速率迅速增加,为个性化基因组学和精准医学铺平道路。基因组重测序数据的主体正在逐步增加,强调需要准确和时间有效的生物信息系统进行基因分型-在诊断筛选中识别候选因果突变的关键先决条件。
    这里我们介绍CoVaCS,一个完全自动化的,具有用于基因分型和变异注释的基于Web的图形界面的高精度系统。对黄金标准基准数据集(NA12878Illumina铂金基因组)的广泛测试证实,基于我们共识策略的调用集与基于类似命令行的方法获得的调用集完全一致。并且比任何单个工具的调用集更准确。重要的是,我们的系统比同等的商业软件具有更好的灵敏度和更高的特异性。
    CoVaCS提供优化的管道,整合了用于全基因组测序(WGS)的变体调用和注释的最新工具,全外显子组测序(WES)和靶基因测序(TGS)数据。该系统目前托管在Cineca,并提供HPC计算设施的速度,当必须分析大量样品时,这是一个至关重要的考虑因素。重要的是,所有分析均自动进行,结果具有较高的重现性.因此,我们相信CoVaCS可以成为分析人类基因组重测序研究的有价值的工具.CoVaCS可在以下网址获得:https://生物信息学。Cineca.it/covacs。
    The advent and ongoing development of next generation sequencing technologies (NGS) has led to a rapid increase in the rate of human genome re-sequencing data, paving the way for personalized genomics and precision medicine. The body of genome resequencing data is progressively increasing underlining the need for accurate and time-effective bioinformatics systems for genotyping - a crucial prerequisite for identification of candidate causal mutations in diagnostic screens.
    Here we present CoVaCS, a fully automated, highly accurate system with a web based graphical interface for genotyping and variant annotation. Extensive tests on a gold standard benchmark data-set -the NA12878 Illumina platinum genome- confirm that call-sets based on our consensus strategy are completely in line with those attained by similar command line based approaches, and far more accurate than call-sets from any individual tool. Importantly our system exhibits better sensitivity and higher specificity than equivalent commercial software.
    CoVaCS offers optimized pipelines integrating state of the art tools for variant calling and annotation for whole genome sequencing (WGS), whole-exome sequencing (WES) and target-gene sequencing (TGS) data. The system is currently hosted at Cineca, and offers the speed of a HPC computing facility, a crucial consideration when large numbers of samples must be analysed. Importantly, all the analyses are performed automatically allowing high reproducibility of the results. As such, we believe that CoVaCS can be a valuable tool for the analysis of human genome resequencing studies. CoVaCS is available at: https://bioinformatics.cineca.it/covacs .
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