Gene and Promoter Prediction MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Gene and Promoter 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 Gene and Promoter 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 Gene and Promoter Prediction mcq questions that explore various aspects of Gene and Promoter Prediction problems. Each MCQ is crafted to challenge your understanding of Gene and Promoter 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 Gene and Promoter 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 Gene and Promoter Prediction. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

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Gene and Promoter Prediction MCQs | Page 2 of 9

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Q11.
The presence of these codons at The beginning of the frame _____ give a clear indication of the translation initiation site.

a.

always

b.

does not necessarily

c.

does not

d.

never

Discuss
Answer: (b).does not necessarily
Q12.
Shine-Delgarno sequence, which is a stretch of purine-rich sequence complementary to 16S rRNA in the ribosome.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q13.
There are ____ possible stop codons, identification of which is straightforward.

a.

five

b.

two

c.

ten

d.

three

Discuss
Answer: (d).three
Q14.
Which of the following is a wrong statement regarding the conventional determination of open reading frames?

a.

Without the use of specialized programs, prokaryotic gene identification can rely on manual determination of ORFs and major signals related to prokaryotic genes

b.

Prokaryotic DNA is first subject to conceptual translation in all six possible frames, two frames forward and four frames reverse

c.

A stop codon occurs in about every twenty codons by chance in a noncoding region

d.

Prokaryotic DNA is first subject to conceptual translation in all six possible frames, three frames forward and three frames reverse

Discuss
Answer: (b).Prokaryotic DNA is first subject to conceptual translation in all six possible frames, two frames forward and four frames reverse
Q15.
The putative ORF can be translated into a protein sequence, which is then used to search against a protein database.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q16.
Which of the following is a wrong statement regarding TESTCODE method?

a.

This is based on the nucleotide composition of the third position of a codon

b.

In practice, because genes can be in any of the six frames, the statistical patterns are computed for all possible frames

c.

It is implemented in the commercial GCG package

d.

It exploits the fact that the third codon nucleotides in a coding region fails to repeat themselves

Discuss
Answer: (d).It exploits the fact that the third codon nucleotides in a coding region fails to repeat themselves
Q17.
The conventional determination of open reading methods identify only typical genes and tend to miss atypical genes in which the rule of codon bias is not strictly followed.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q18.
Which of the following is a wrong statement regarding Gene Prediction Using Markov Models and Hidden Markov Models?

a.

Markov models and HMMs can be very helpful in providing finer statistical description of a gene

b.

A Markov model describes the probability of the distribution of nucleotides in a DNA sequence

c.

In a Markov model the conditional probability of a particular sequence position depends on k alternate positions

d.

A zero-order Markov model assumes each base occurs independently with a given probability

Discuss
Answer: (c).In a Markov model the conditional probability of a particular sequence position depends on k alternate positions
Q19.
The use of Markov models in gene finding exploits the fact that oligonucleotide distributions in the coding regions are different from those for the noncoding regions.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q20.
Because a protein-encoding gene is composed of nucleotides in triplets as codons, more effective Markov models are built in sets of three nucleotides, describing nonrandom distributions of trimers or hexamers, and so on.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
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