Haselman T, Chappelear J E, Fox G E
Department of Biochemical and Biophysical Sciences, University of Houston, TX 77004.
Nucleic Acids Res. 1988 Jun 24;16(12):5673-84. doi: 10.1093/nar/16.12.5673.
Contingency table analysis has previously been used to detect sequence correlations in RNAs caused by either secondary or tertiary interactions. An approach known as matrix reduction is developed here as an alternative to the usual Chi square test. This approach is especially sensitive to covariation between equivalent positions and is effective at detecting tertiary interactions that exhibit such covariation. Matrix reduction was also effective at detecting Watson-Crick base-pairs that exhibit a high degree of pairing fidelity. The method was applied to five closely related structural classes of tRNA and a number of tertiary interactions were detected in each class.
列联表分析先前已被用于检测由二级或三级相互作用引起的RNA序列相关性。本文开发了一种称为矩阵约简的方法，作为常规卡方检验的替代方法。这种方法对等效位置之间的共变特别敏感，并且在检测表现出这种共变的三级相互作用方面很有效。矩阵约简在检测具有高度配对保真度的沃森-克里克碱基对方面也很有效。该方法应用于五个密切相关的tRNA结构类别，并且在每个类别中检测到了许多三级相互作用。
