RNA Structure Prediction MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on RNA Structure Prediction, a fundamental topic in the field of Bioinformatics. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our RNA Structure Prediction MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of RNA Structure Prediction mcq questions that explore various aspects of RNA Structure Prediction problems. Each MCQ is crafted to challenge your understanding of RNA Structure Prediction principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Bioinformatics tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our RNA Structure Prediction MCQs are your pathway to success in mastering this essential Bioinformatics topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of RNA Structure Prediction. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your RNA Structure Prediction knowledge to the test? Let's get started with our carefully curated MCQs!

RNA Structure Prediction MCQs | Page 7 of 9

Discuss
Answer: (c).A row of matches in the RNA matrix indicates a failure of complementary nucleotides that can potentially form a double-stranded region
Q62.
Through a single scoring matrix, evaluation of all the different possible configurations is done.
Discuss
Answer: (b).False
Q63.
The object is to find a diagonal row of matches that goes from upper left to lower right.
Discuss
Answer: (b).False
Q64.
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.
Discuss
Answer: (a).True
Q65.
The sequence is listed down the first column of base comparisons’ table and free energy calculations’ table in the 5’→3’ orientation.
Discuss
Answer: (a).True
Q66.
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.
Discuss
Answer: (a).True
Q67.
______ regions in sequences, such as those in RNA that will form secondary structures, are an example of such context-free sequences.
Discuss
Answer: (c).complementary
Q68.
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.
Discuss
Answer: (a).True
Q69.
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.
Discuss
Answer: (a).True
Q70.
The application of SCFGs to RNA secondary structure analysis is very similar in form to the probabilistic covariance models.
Discuss
Answer: (a).True
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