The application of SCFGs to RNA secondary structure analysis is very s – McqOptions

MCQOPTIONS

1.	The application of SCFGs to RNA secondary structure analysis is very similar in form to the probabilistic covariance models.
A.	True
B.	False
Answer» B. False

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The application of SCFGs to RNA secondary structure analysis is very similar in form to the probabilistic covariance models.
In a SCFG, each production of a non-terminal symbol has an associated probability for giving rise to the resulting product, and there are a set of productions, each giving a different result.
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.
______ regions in sequences, such as those in RNA that will form secondary structures, are an example of such context-free sequences.
A general theory for modeling strings of symbols, such as bases in DNA sequences, has been developed by linguists. There is a hierarchy of these so-called transformational grammars that deal with situations of increasing complexity.
The sequence is listed down the first column of base comparisons table and free energy calculations table in the 5 3 orientation.
The increase depends on the type and length of loop that is introduced by the non-complementary base pair, whether internal loop, bulge loop, or hairpin loop.
The object is to find a diagonal row of matches that goes from upper left to lower right.
Through a single scoring matrix, evaluation of all the different possible configurations is done.
Which of the following is incorrect about the prediction of RNA secondary structure?