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The use of SCFGs in RNA secondary structure production analysis is in fact very similar to that of the covariance model, with the grammatical productions resembling the nodes in the ordered binary tree.(a) True(b) FalseI got this question by my school principal while I was bunking the class.This intriguing question comes from Minimum Free in chapter RNA Structure Prediction of Bioinformatics

Answer»

Right option is (a) True

Explanation: As with hidden Markov models, the probability distribution of each PRODUCTION must be derived by training with known sequences. The ALGORITHMS used for training the SCFG and for aligning a sequence with the SCFG are somewhat DIFFERENT from those used with hidden Markov models, and the TIME and memory requirements are greater.



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