首页> 外文OA文献 >Conceptual framework and pilot study to benchmark phylogenomic databases based on reference gene trees.
【2h】

Conceptual framework and pilot study to benchmark phylogenomic databases based on reference gene trees.

机译:概念框架和初步研究,以基于参考基因树为基准的系统生物学数据库。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Phylogenomic databases provide orthology predictions for species with fully sequenced genomes. Although the goal seems well-defined, the content of these databases differs greatly. Seven ortholog databases (Ensembl Compara, eggNOG, HOGENOM, InParanoid, OMA, OrthoDB, Panther) were compared on the basis of reference trees. For three well-conserved protein families, we observed a generally high specificity of orthology assignments for these databases. We show that differences in the completeness of predicted gene relationships and in the phylogenetic information are, for the great majority, not due to the methods used, but to differences in the underlying database concepts. According to our metrics, none of the databases provides a fully correct and comprehensive protein classification. Our results provide a framework for meaningful and systematic comparisons of phylogenomic databases. In the future, a sustainable set of 'Gold standard' phylogenetic trees could provide a robust method for phylogenomic databases to assess their current quality status, measure changes following new database releases and diagnose improvements subsequent to an upgrade of the analysis procedure.
机译:系统生物学数据库提供了具有完全测序基因组的物种的正射预测。尽管目标似乎很明确,但是这些数据库的内容却相差很大。在参考树的基础上比较了七个直系同源数据库(Ensembl Compara,eggNOG,HOGENOM,InParanoid,OMA,OrthoDB,Panther)。对于三个保守性很高的蛋白质家族,我们观察到这些数据库在拼字法分配方面普遍具有很高的特异性。我们表明,在大多数情况下,预测基因关系和系统发育信息的完整性差异不是由于使用的方法,而是由于基础数据库概念的差异。根据我们的指标,没有一个数据库提供完全正确和全面的蛋白质分类。我们的结果为系统生物学数据库的有意义和系统的比较提供了一个框架。将来,一套可持续的“金标准”系统树将为系统数据库提供可靠的方法,以评估其当前质量状况,测量新数据库发布后的变化并在分析程序升级后诊断改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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