Multiple Sequence Alignment MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Multiple Sequence Alignment, 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 Multiple Sequence Alignment 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 Multiple Sequence Alignment mcq questions that explore various aspects of Multiple Sequence Alignment problems. Each MCQ is crafted to challenge your understanding of Multiple Sequence Alignment 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 Multiple Sequence Alignment 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 Multiple Sequence Alignment. 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 Multiple Sequence Alignment knowledge to the test? Let's get started with our carefully curated MCQs!

Multiple Sequence Alignment MCQs | Page 1 of 8

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Q1.
Related sequences are identified through the database similarity searching and as the process generates multiple matching sequence pairs, it is often necessary to convert the numerous pair wise alignments into a single alignment.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q2.
There is a unique advantage of multiple sequence alignment because it reveals more biological information than many pair wise alignments can.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q3.
Which of the following cannot be related to multiple sequence alignment?

a.

Many conserved and functionally critical amino acid residues can be identified in a protein multiple alignment

b.

Multiple sequence alignment is also an essential prerequisite to carrying out phylogenetic analysis of sequence families and prediction of protein secondary and tertiary structures

c.

Multiple sequence alignment also has applications in designing degenerate polymerase chain reaction (PCR) primers based on multiple related sequences

d.

This method does not contribute much to degenerate polymerase chain reaction (PCR) primers creation

Discuss
Answer: (d).This method does not contribute much to degenerate polymerase chain reaction (PCR) primers creation
Q4.
The scoring function for multiple sequence alignment is based on the concept of sum of pairs (SP).

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q5.
Which of the following scores are not considered while calculating the SP scores?

a.

All possible pair wise matches

b.

All possible mismatches

c.

All possible gap costs

d.

Number of gap penalties

Discuss
Answer: (d).Number of gap penalties
Q6.
Given a multiple alignment of three sequences, the sum of scores is calculated as the sum of the dissimilarity scores of every pair of sequences at each position.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q7.
There are two approaches viz. exhaustive and heuristic approaches used in multiple sequence alignment.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q8.
In a multidimensional search matrix, for aligning N sequences, an (N+2)-dimensional matrix is needed to be filled with alignment scores.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q9.
As the amount of computational time and memory space required increases exponentially with the number of sequences, it makes the multidimensional search matrix method computationally prohibitive to use for a large data set.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q10.
Which of the following is untrue about DCA?

a.

It stands for Divide-and-Conquer Alignment

b.

It works by breaking each of the sequences into two smaller sections

c.

The breaking points during the process are determined based on regional similarity of the sequences

d.

If the sections are not short enough, further divisions are restricted as well

Discuss
Answer: (d).If the sections are not short enough, further divisions are restricted as well
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