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在 permutations 中超定向的循环.

Jayakumar P1, Bhadrachalam Chitturi2

  • 1Department of Computer Science and Applications, Amrita Vishwa Vidyapeetham, Amritapuri, India.

Computers in biology and medicine
|September 15, 2023
PubMed
概括
此摘要是机器生成的。

了解进化距离需要分析基因组序列不相似性. 这项研究描述了超定向周期 (SOC),以提高计算物种之间的转移距离的准确性.

关键词:
接近算法的近似算法突变 突变 突变 突变 突变转换 转换 是一种转换.排序 分类 排序超导向的自行车是超导向的转载 转载 转载 转载上界的上界是上界.

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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 进化生物学 进化生物学

背景情况:

  • 进化距离使用基因组序列量化物种不相似性.
  • 遗传树依赖进化距离来描绘物种关系.
  • 基因组突变被建模为顺序转换.

研究的目的:

  • 在排列图中描述超定向循环 (SOC).
  • 为了增强转换距离的下界计算.
  • 引入新的转换来简化排列分析.

主要方法:

  • 建模基因组作为变换,并分析它们的循环图.
  • 定义和识别奇数周期和超定向周期 (SOC).
  • 使用等效转换 (减少, (g,b) -分割,合并) 在 permutations.

主要成果:

  • 实现了超定向循环 (SOC) 的表征.
  • 引入一种称为"合并"的新型等效转换.
  • 证明减少和 (g,b) 分割可以保持转换距离.

结论:

  • 描述SOC为转换距离提供了更准确的下限.
  • 相当变换简化了复杂的变换问题.
  • 这些发现有助于计算物种之间的进化距离.