非编码 RNA 的大偏差原理和进化多重结构比对

Brandon Legried
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引用次数: 0

摘要

非编码 RNA 是不翻译成蛋白质的功能分子。由于它们不被翻译,因此不需要像其他类型的 RNA 那样稳定。霍尔姆斯 2004 年提出的 TKF91 结构树是一种概率模型,它能有效地描述碱基对的相关替换、插入和删除,在理解动态折叠模式方面有一定价值。本文对 TKF91 结构树进行了新的概率分析,证明了茎长度、螺旋长度和树大小的大偏差原则。此外,我们还给出了一种新的比对程序,它能在足够密集的系统发育过程中为同一性较低的序列构建精确的序列和结构比对。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large deviation principles and evolutionary multiple structure alignment of non-coding RNA
Non-coding RNA are functional molecules that are not translated into proteins. Their function comes as important regulators of biological function. Because they are not translated, they need not be as stable as other types of RNA. The TKF91 Structure Tree from Holmes 2004 is a probability model that effectively describes correlated substitution, insertion, and deletion of base pairs, and found to have some worth in understanding dynamic folding patterns. In this paper, we provide a new probabilistic analysis of the TKF91 Structure Tree. Large deviation principles on stem lengths, helix lengths, and tree size are proved. Additionally, we give a new alignment procedure that constructs accurate sequence and structural alignments for sequences with low identity for a dense enough phylogeny.
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