Bernhart Stephan H
Institute for Theoretical Chemistry, University of Vienna, Vienna, Austria.
Methods Mol Biol. 2011;760:307-23. doi: 10.1007/978-1-61779-176-5_19.
The prediction of RNA structure can be a first important step for the functional characterization of novel ncRNAs. Especially for the very meaningful secondary structure, there is a multitude of computational prediction tools. They differ not only in algorithmic details and the underlying models but also in what exactly they are trying to predict. This chapter gives an overview of different programs that aim to predict RNA secondary structure. We will introduce the ViennaRNA software package and web server as a solution that implements most of the varieties of RNA secondary structure prediction that have been published over the years. We focus on algorithms going beyond the mere prediction of a static structure.
RNA结构预测可能是新型非编码RNA功能表征的首要重要步骤。特别是对于非常有意义的二级结构,有大量的计算预测工具。它们不仅在算法细节和基础模型上有所不同,而且在具体预测内容上也存在差异。本章概述了旨在预测RNA二级结构的不同程序。我们将介绍ViennaRNA软件包和网络服务器,它是一种实现了多年来已发表的大多数RNA二级结构预测方法的解决方案。我们重点关注超越单纯静态结构预测的算法。