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CuReSim-LoRM:一个模拟长读元码代码的工具

Yasmina Mesloub1, Delphine Beury1, Félix Vandermeeren1

  • 1Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41-UAR 2014-PLBS, F-59000 Lille, France.

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|September 28, 2023
PubMed
概括

一个新的工具,CuReSim-LoRM,模拟微生物DNA元编码的长读数,模拟错误率和长度分布. 这有助于对分析管道进行基准分析,并改善微生物社区研究.

科学领域:

  • 微生物生态学 微生物生态学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 超编码DNA测序推进了微生物社区分析.
  • 第三代测序为更高的分类分辨率提供了长读数.
  • 牛津纳米孔技术 (ONT) 长读数具有较高的错误率,引入分析偏差.

研究的目的:

  • 开发一个模拟长metabarcoding阅读的工具.
  • 模拟现实世界的错误率和长度分布,用于基准测试.
  • 为了解决长读元编码数据的特定模拟器的缺乏.

主要方法:

  • 介绍了CuReSim-LoRM,这是一个定制的阅读模拟器,用于长时间的元编码阅读.
  • 模拟阅读的生成具有可控制的错误率和长度分布.
  • 模拟器模拟真实ONT测序数据的能力的验证.

主要成果:

  • CuReSim-LoRM成功地生成了用于metabarcoding的长读数.
  • 模拟器有效地模拟了不同的错误率和长度分布.
  • 模拟数据与真实测序数据非常相似,可以进行可靠的基准测试.
关键词:
一个基准的基准指标.长时间阅读阅读.超级编码元标段编码.阅读模拟模拟的阅读

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结论:

  • CuReSim-LoRM为比较元编码分析管道提供了一个有价值的资源.
  • 准确模拟长读数对于理解和减轻偏差至关重要.
  • 该工具可以从长期阅读的测序数据中更可靠地解释微生物社区结构.