Gorodkin Jan, Hofacker Ivo L, Ruzzo Walter L
Center for non-coding RNA in Technology and Health, IKVH, University of Copenhagen, Frederiksberg C, Denmark.
Methods Mol Biol. 2014;1097:1-31. doi: 10.1007/978-1-62703-709-9_1.
RNA bioinformatics and computational RNA biology have emerged from implementing methods for predicting the secondary structure of single sequences. The field has evolved to exploit multiple sequences to take evolutionary information into account, such as compensating (and structure preserving) base changes. These methods have been developed further and applied for computational screens of genomic sequence. Furthermore, a number of additional directions have emerged. These include methods to search for RNA 3D structure, RNA-RNA interactions, and design of interfering RNAs (RNAi) as well as methods for interactions between RNA and proteins.Here, we introduce the basic concepts of predicting RNA secondary structure relevant to the further analyses of RNA sequences. We also provide pointers to methods addressing various aspects of RNA bioinformatics and computational RNA biology.
RNA生物信息学和计算RNA生物学源于预测单序列二级结构的方法。该领域已发展到利用多序列来考虑进化信息,例如补偿性(和结构保留性)碱基变化。这些方法得到了进一步发展,并应用于基因组序列的计算筛选。此外,还出现了一些其他方向。这些包括搜索RNA三维结构、RNA-RNA相互作用、干扰RNA(RNAi)设计的方法,以及RNA与蛋白质之间相互作用的方法。在这里,我们介绍与RNA序列进一步分析相关的预测RNA二级结构的基本概念。我们还提供了有关处理RNA生物信息学和计算RNA生物学各个方面方法的指南。