首页> 外文会议> >Computational Methods for Analysis of Cryptic Recombination in the Performance of Genomic Recombination Detection Software
【24h】

Computational Methods for Analysis of Cryptic Recombination in the Performance of Genomic Recombination Detection Software

机译:基因组重组检测软件性能中的隐秘重组分析的计算方法

获取原文

摘要

The detection of recombination from DNA sequences is relevant to the understanding of evolutionary and molecular genetics. While programs such as GENECONV have been identified as detecting recombination more reliably than others, previous studies have not analyzed how many recombinations they fail to detect. We develop a method for testing how often such programs fail to identify recombinations and how detectability is affected by pairwise differences among the parental sequences. Recombination of sequences having a range of average pairwise differences (APD) is simulated by a stochastic method, and then the history of recombinations is compared to the recombinations identified by GENECONV. With high APD, GENECONV fails to detect ~50% of recombinations; while at a more typical intraspecies APD of 1% to 2%, ge70% of recombinations are undetected. Quantitative results suggest corrections for estimating recombination rates more accurately and methods to detect evidence of recombination more consistently.
机译:从DNA序列重组的检测与对进化和分子遗传学的理解有关。虽然GeneConv等程序已被识别为检测重组比其他程序更可靠,但之前的研究尚未分析它们无法检测到多少重组。我们开发了一种测试这些程序如何未能识别重组以及如何在父母序列之间进行成对差异的检测性影响的方法。通过随机方法模拟具有平均成对差(APD)范围的序列的重组,然后将重组史与Geneconv鉴定的重组进行比较。具有高APD,GeneConv无法检测到〜50%的重组;虽然在1%至2%的更典型的内部内部APD,但未检测到重组的GE70%。定量结果表明更准确地估算重组率的校正,以及更始终如一地检测重组证据的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号