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 4 of 9

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Q31.
In ab initio methods for RNA structure prediction, the prediction results from RNAfold are not always guaranteed to be better than those predicted by Mfold.
Discuss
Answer: (a).True
Q32.
The comparative approach uses basic RNA structure based predictions to infer a consensus structure.
Discuss
Answer: (b).False
Q33.
To distinguish the conserved secondary structure among multiple related RNA sequences, a concept of β€œcovariation” is used.
Discuss
Answer: (a).True
Q34.
___________ of covariation can be ___________ to the RNA structure and functions.
Discuss
Answer: (a).Any lack, deleterious
Q35.
An aspect of the comparative method is to select a __________ structure through consensus drawing.
Discuss
Answer: (c).common
Q36.
The comparative-based algorithms can be further divided into two categories based on the type of input data.
Discuss
Answer: (a).True
Q37.
The type of algorithm that requires predefined alignment, requires the user to provide _______ alignment as input.
Discuss
Answer: (c).pairwise or multiple
Q38.
The type of algorithm that _____ predefined alignment is ______ for reasonably conserved sequences.
Discuss
Answer: (d).requires, relatively successful
Q39.
The predefined alignment requiring method also depends on the quality of the input alignment. If there ___ errors in the alignment, covariation signals ____ detected.
Discuss
Answer: (b).are, will not be
Discuss
Answer: (d).Covariation information is taken into consideration
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