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Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences

机译:从头和杂交组装技术的评估和验证,以得出高质量的基因组序列

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Motivation: To assess the potential of different types of sequence data combined with de novo and hybrid assembly approaches to improve existing draft genome sequences.Results: Illumina, 454 and PacBio sequencing technologies were used to generate de novo and hybrid genome assemblies for four different bacteria, which were assessed for quality using summary statistics (e.g. number of contigs, N50) and in silico evaluation tools. Differences in predictions of multiple copies of rDNA operons for each respective bacterium were evaluated by PCR and Sanger sequencing, and then the validated results were applied as an additional criterion to rank assemblies. In general, assemblies using longer PacBio reads were better able to resolve repetitive regions. In this study, the combination of Illumina and PacBio sequence data assembled through the ALLPATHS-LG algorithm gave the best summary statistics and most accurate rDNA operon number predictions. This study will aid others looking to improve existing draft genome assemblies
机译:动机:评估不同类型序列数据结合使用从头和杂种组装方法以改善现有基因组草图序列的潜力。结果:Illumina,454和PacBio测序技术用于为四种不同细菌生成从头和杂种基因组组装,使用摘要统计信息(例如重叠群数,N50)和计算机评估工具对质量进行了评估。通过PCR和Sanger测序评估每种细菌的rDNA操纵子多拷贝预测的差异,然后将验证的结果作为附加标准对装配进行排名。通常,使用较长PacBio读数的程序集能够更好地解析重复区域。在这项研究中,通过ALLPATHS-LG算法组装的Illumina和PacBio序列数据的组合提供了最佳的汇总统计信息和最准确的rDNA操纵子数预测。这项研究将帮助其他希望改善现有基因组草图的人

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