Abstract
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.
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Selected References
These references are in PubMed. This may not be the complete list of references from this article.
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