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Accurate long-read de novo assembly evaluation with Inspector
Genome Biology ( IF 12.3 ) Pub Date : 2021-11-14 , DOI: 10.1186/s13059-021-02527-4
Yu Chen 1, 2 , Yixin Zhang 3 , Amy Y Wang 2, 4 , Min Gao 2, 5 , Zechen Chong 1, 2
Affiliation  

Long-read de novo genome assembly continues to advance rapidly. However, there is a lack of effective tools to accurately evaluate the assembly results, especially for structural errors. We present Inspector, a reference-free long-read de novo assembly evaluator which faithfully reports types of errors and their precise locations. Notably, Inspector can correct the assembly errors based on consensus sequences derived from raw reads covering erroneous regions. Based on in silico and long-read assembly results from multiple long-read data and assemblers, we demonstrate that in addition to providing generic metrics, Inspector can accurately identify both large-scale and small-scale assembly errors.

中文翻译:

使用 Inspector 进行准确的长读长从头组装评估

长读长从头基因组组装继续快速推进。然而,缺乏有效的工具来准确评估装配结果,尤其是结构错误。我们介绍了 Inspector,这是一个无参考的长读取从头组装评估器,它忠实地报告错误类型及其精确位置。值得注意的是,Inspector 可以根据从覆盖错误区域的原始读数中得出的一致序列来纠正装配错误。基于来自多个长读数据和组装器的计算机和长读组装结果,我们证明除了提供通用指标外,Inspector 还可以准确识别大规模和小规模组装错误。
更新日期:2021-11-14
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