Bioinformatics Group, Department of Computer Science University of Freiburg, Freiburg, Germany.
Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany.
Methods Mol Biol. 2024;2726:255-284. doi: 10.1007/978-1-0716-3519-3_11.
Effective homology search for non-coding RNAs is frequently not possible via sequence similarity alone. Current methods leverage evolutionary information like structure conservation or covariance scores to identify homologs in organisms that are phylogenetically more distant. In this chapter, we introduce the theoretical background of evolutionary structure conservation and covariance score, and we show hands-on how current methods in the field are applied on example datasets.
有效的非编码 RNA 同源搜索通常不能仅通过序列相似性来实现。目前的方法利用进化信息，如结构保守性或协方差分数，来识别在系统发育上更远的生物体中的同源物。在本章中，我们介绍了进化结构保守性和协方差分数的理论背景，并展示了如何在示例数据集上应用该领域当前的方法。
