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 5 of 9

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Q41.
Rigorously evaluating the performance of RNA prediction programs has traditionally been hindered by the dearth of three-dimensional structural information for RNA.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q42.
If prediction accuracy can be represented using a ______ the ______ programs score roughly 20% to 60% depending on the length of the sequences.

a.

multiple parameter, ab initio–based

b.

single parameter, ab initio–based

c.

multiple parameter, comparative–based

d.

single parameter, comparative–based

Discuss
Answer: (b).single parameter, ab initio–based
Q43.
For _________ RNA sequences, such as tRNA, some programs may be able to produce _________% accuracy.

a.

small, 70

b.

small, 40

c.

large, 90

d.

large, 75

Discuss
Answer: (a).small, 70
Q44.
The pre-alignment independent programs fare __________ for predicting long sequences.

a.

slight better

b.

much better

c.

a bit worse

d.

much worse

Discuss
Answer: (d).much worse
Q45.
Based on recent benchmark comparisons, the comparative-type algorithms can reach an accuracy range of 20% to 80%.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q46.
In comparative approach to RNA structure prediction, algorithms that do not use pre-alignment, align multiple input sequences and infers a consensus structure.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q47.
In comparative approach to RNA structure prediction, Foldalign is a web-based only program for RNA alignment

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q48.
In comparative approach to RNA structure prediction, the Foldalign program doesn’t use the covariation information.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q49.
In comparative approach to RNA structure prediction, Dynalign is a ________ program.

a.

Windows based

b.

Fedora

c.

UNIX

d.

iOS based

Discuss
Answer: (c).UNIX
Q50.
In comparative approach to RNA structure prediction, in Dynalign program–by comparing _________ from each sequence, a ______ structure common to both sequences is selected that serves as the basis for sequence alignment.

a.

multiple alternative structures, lowest energy

b.

single structure, lowest energy

c.

single structure, highest energy

d.

multiple alternative structures, highest energy

Discuss
Answer: (a).multiple alternative structures, lowest energy
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