RNA模式分析进展

研究表明,R N A模式在基因表达调控方面起着重要作用.由于RN A模式不仅与初级序列有关,更多的表现为高级结构(一般为二级结构)的保守性,所以R N A模式的识别比D N A模式的识别要复杂的多.近十几年里,对R N A模式分析作了大量的计算方面的研究,包括:R N A结构的预测、识别和已知的类型相似的R N A模式、在一组功能或进化相关的基因中找出共同的R N A模式.这里对上述3个方面的计算方法的发展和研究进行了综述.

The Development of RNA Motif Analysis

RNA sequence motif have been found to play important roles in regulating gene expression.Because RNA motif are characterized by both primary sequence and higher order structural constraints,identification of RNA motif is more complicated than identification of DNA elements.During the last decade,many computational efforts have been made for RNA sequence analysis,including prediction of RNA structure,identification of RNA elements that are similar to known RNA elements and discovery of common RNA motif based on a group of functionally or evolutionally related genes.It's reviewed that the major methods developed for RNA sequence motif analysis in the above three areas.