...
首页> 外文期刊>Genome Biology >Schmutzi: estimation of contamination and endogenous mitochondrial consensus calling for ancient DNA
【24h】

Schmutzi: estimation of contamination and endogenous mitochondrial consensus calling for ancient DNA

机译:Schmutzi:估计污染和需要内源性线粒体共识的古代DNA

获取原文

摘要

Ancient DNA is typically highly degraded with appreciable cytosine deamination, and contamination with present-day DNA often complicates the identification of endogenous molecules. Together, these factors impede accurate assembly of the endogenous ancient mitochondrial genome. We present schmutzi, an iterative approach to jointly estimate present-day human contamination in ancient human DNA datasets and reconstruct the endogenous mitochondrial genome. By using sequence deamination patterns and fragment length distributions, schmutzi accurately reconstructs the endogenous mitochondrial genome sequence even when contamination exceeds 50 %. Given sufficient coverage, schmutzi also produces reliable estimates of contamination across a range of contamination rates. Availability: https://bioinf.eva.mpg.de/schmutzi/ license:GPLv3.
机译:古代的DNA通常会通过明显的胞嘧啶脱氨作用而高度降解,而当今DNA的污染通常会使内源性分子的鉴定复杂化。这些因素共同阻碍了内源性古代线粒体基因组的准确组装。我们提出了schmutzi,一种迭代方法,可以共同估计古代人类DNA数据集中的当今人类污染并重建内源性线粒体基因组。通过使用序列脱氨模式和片段长度分布,即使污染超过50%,schmutzi仍可以准确地重建内源性线粒体基因组序列。如果有足够的覆盖范围,schmutzi还能在各种污染率范围内得出可靠的污染估计值。可用性:https://bioinf.eva.mpg.de/schmutzi/许可证:GPLv3。

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