Database Similarity Searching MCQs

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

Database Similarity Searching MCQs | Page 3 of 5

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Q21.
Which of the following is not correct about FASTA?

a.

Its stands for FAST ALL

b.

It was in fact the first database similarity search tool developed, preceding the development of BLAST

c.

FASTA uses a ‘hashing’ strategy to find matches for a short stretch of identical residues with a length of k

d.

The string of residues is known as blocks

Discuss
Answer: (d).The string of residues is known as blocks
Q22.
The first step in FASTA alignment id to arrange the sequences in matrices’ rows and columns in order to be analyzed.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q23.
The positional difference for each word between the two sequences is obtained by ________ the position of the ______ sequence from that of the _______ sequence and is expressed as the offset.

a.

subtracting, second, first

b.

adding, second, first

c.

adding, first, second

d.

subtracting, first, second

Discuss
Answer: (d).subtracting, first, second
Q24.
The second step in FASTA is to narrow down the high similarity regions between the two sequences.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q25.
In FASTA, neighboring high-scoring segments along the same diagonal are selected and joined to form a single alignment.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q26.
The last step is to perform a statistical evaluation of the final alignment as in BLAST, which produces the E-value.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q27.
The web-based FASTA program is offered by the European Bioinformatics Institute.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q28.
FASTX, which compares a protein query sequence to a translated DNA database.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q29.
FASTA doesn’t use bit scores.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q30.
Z-score describes the number of standard deviations from the mean score for the database search.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
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