首页> 外文会议>Annual international conference on research in computational molecular biology >Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data;
【24h】

Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data;

机译:用于比较多种功能基因组数据的连续性概率模型;

获取原文

摘要

Multi-species functional genomic data from various high-throughput assays are highly informative for the comparative analysis of gene regulation to better understand the molecular mechanisms of phenotypic diversity between human and other mammalian species. Continuous-trait models, which are key to the modeling of functional genomic signals, are gaining increasing attention in genome-wide comparative genomic studies. However, computational models are currently under-explored to fully capture continuous features in the context of multi-species comparisons. There have been several types of continuous-trait evolutionary models, including Brownian motion and Ornstein-Uhlenbeck (OU) process. However, to the best of our knowledge, there are no existing computational methods available to simultaneously infer heterogeneous continuous-trait evolutionary models along the genome based on functional genomic signals.
机译:来自各种高通量分析的多物种功能基因组数据对于基因调控的比较分析非常有用,可以更好地了解人类与其他哺乳动物物种之间表型多样性的分子机制。连续性状模型是功能基因组信号建模的关键,在全基因组比较基因组研究中越来越受到关注。但是,目前在多物种比较的情况下,尚未充分利用计算模型来完全捕获连续特征。有几种类型的连续性状进化模型,包括布朗运动和Ornstein-Uhlenbeck(OU)过程。然而,据我们所知,尚无现有的计算方法可用于根据功能基因组信号沿基因组同时推断异质连续性进化模型。

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