Questions and answers for exam Preparation

MCQs

Total Questions : 82 | Page 4 of 9 pages

Question 31. Which of the following is untrue about SGP-1?

The program translates all potential exons in each sequence and does pair wise alignment for the translated protein sequences using a dynamic programming approach
The near-perfect matches at the protein level define coding regions
It is a similarity-based web program that aligns two genomic DNA sequences from distinctly related organisms
It stands for Syntenic Gene Prediction

Discuss Question

Answer: Option C. -> It is a similarity-based web program that aligns two genomic DNA sequences from distinctly related organisms
Answer: (c).It is a similarity-based web program that aligns two genomic DNA sequences from distinctly related organisms

Question 32. TwinScan is also a similarity-based gene-finding Server and it is similar to GenomeScan in that it uses GenScan to predict all possible exons from the genomic sequence.

True
False
May be True or False
Can't say

Discuss Question

Answer: Option A. -> True
Answer: (a).True

Question 33. 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

Discuss Question

Answer: Option D. -> It exploits the fact that the third codon nucleotides in a coding region fails to repeat themselves
Answer: (d).It exploits the fact that the third codon nucleotides in a coding region fails to repeat themselves

Question 34. 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.

True
False
May be True or False
Can't say

Discuss Question

Answer: Option A. -> True
Answer: (a).True

Question 35. Which of the following is a wrong statement regarding Gene Prediction Using Markov Models and Hidden Markov Models?

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

Discuss Question

Answer: Option C. -> In a Markov model the conditional probability of a particular sequence position depends on k alternate positions
Answer: (c).In a Markov model the conditional probability of a particular sequence position depends on k alternate positions

Question 36. 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.

True
False
May be True or False
Can't say

Discuss Question

Answer: Option A. -> True
Answer: (a).True

Question 37. 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.

True
False
May be True or False
Can't say

Discuss Question

Answer: Option A. -> True
Answer: (a).True

Question 38. Which of the following is untrue?

Eukaryotic nuclear genomes are much larger than prokaryotic ones
They tend to have a very high gene density
Eukaryotic nuclear genomes’ sizes range from 10 Mbp to 670 Gbp (1 Gbp = 109 bp)
They tend to have a very high gene density

Discuss Question

Answer: Option D. -> They tend to have a very high gene density
Answer: (d).They tend to have a very high gene density

Question 39. The main issue in prediction of eukaryotic genes is the identification of exons, introns, and splicing sites.

True
False
May be True or False
Can't say

Discuss Question

Answer: Option A. -> True
Answer: (a).True

Question 40. Which of the following is untrue about Ab Initio–Based Programs for Gene Prediction?

The goal of the ab initio gene prediction programs is to discriminate exons from noncoding sequences
The goal is joining exons together in the correct order
The main difficulty is correct identification of exons
To predict exons, the algorithms rely solely on gene signals

Discuss Question

Answer: Option D. -> To predict exons, the algorithms rely solely on gene signals
Answer: (d).To predict exons, the algorithms rely solely on gene signals