Which of the following is a wrong statement regarding Gene Prediction Using Markov Models and Hidden Markov Models?

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

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

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

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

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

WHICH_OF_THE_FOLLOWING_IS_A_WRONG_STATEMENT_REGARDING_GENE_PREDICTION_USING_MARKOV_MODELS_AND_HIDDEN_MARKOV_MODELS??$

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

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

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

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

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

Which of the following is a wrong statement regarding TESTCODE method?

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

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

It is implemented in the commercial GCG package

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

Which of the following is a wrong statement regarding the conventional determination of open reading frames?

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

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

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

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

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

Which of the following is a wrong statement?

Prokaryotes have relatively small genomes

Prokaryotes include bacteria and Archaea

Prokaryotes have relatively large genomes

Prokaryotes have relatively small genomes

In Prokaryotes, The gene density in the genomes is high, with more than 90% of a genome sequence containing coding sequence

16 + Mcqs in Gene Prediction Prokaryotes in Bioinformatics Page 1 McqOptions

1.	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
Answer» B. False

Discussion

2.	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
Answer» B. False

Discussion

3.	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
Answer» D. A zero-order Markov model assumes each base occurs independently with a given probability

Discussion

4.	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
Answer» B. False

Discussion

5.	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
Answer» D. A zero-order Markov model assumes each base occurs independently with a given probability

Discussion

6.	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
Answer» B. False

Discussion

7.	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
Answer» B. False

Discussion

8.	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
Answer» B. False

Discussion

9.	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
Answer» E.

Discussion

10.	The putative ORF can be translated into a protein sequence, which is then used to search against a protein database.
A.	True
B.	False
Answer» B. False

Discussion

11.	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
Answer» C. A stop codon occurs in about every twenty codons by chance in a noncoding region

Discussion

12.	There are ____ possible stop codons, identification of which is straightforward.
A.	five
B.	two
C.	ten
D.	three
Answer» E.

Discussion

13.	Shine-Delgarno sequence, which is a stretch of purine-rich sequence complementary to 16S rRNA in the ribosome.
A.	True
B.	False
Answer» B. False

Discussion

14.	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
Answer» C. does not

Discussion

15.	In bacteria, the majority of genes have a start codon ATG (orAUG in mRNA; because prediction is done at the DNA level, T is used in place of U), which codes for methionine.
A.	True
B.	False
Answer» B. False

Discussion

16.	Which of the following is a wrong statement?
A.	Prokaryotes include bacteria and Archaea
B.	Prokaryotes have relatively large genomes
C.	Prokaryotes have relatively small genomes
D.	In Prokaryotes, The gene density in the genomes is high, with more than 90% of a genome sequence containing coding sequence
Answer» C. Prokaryotes have relatively small genomes

Discussion

Explore topic-wise MCQs in Bioinformatics.

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.

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.

Which of the following is a wrong statement regarding Gene Prediction Using Markov Models and Hidden Markov Models?

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.

WHICH_OF_THE_FOLLOWING_IS_A_WRONG_STATEMENT_REGARDING_GENE_PREDICTION_USING_MARKOV_MODELS_AND_HIDDEN_MARKOV_MODELS??$

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.$

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.$

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?

Which of the following is a wrong statement regarding TESTCODE method?

The putative ORF can be translated into a protein sequence, which is then used to search against a protein database.

Which of the following is a wrong statement regarding the conventional determination of open reading frames?

There are ____ possible stop codons, identification of which is straightforward.

Shine-Delgarno sequence, which is a stretch of purine-rich sequence complementary to 16S rRNA in the ribosome.

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

In bacteria, the majority of genes have a start codon ATG (orAUG in mRNA; because prediction is done at the DNA level, T is used in place of U), which codes for methionine.

Which of the following is a wrong statement?