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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.

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. Correct Answer True

The parameters of a Markov Model have to be trained using a set of sequences with known gene locations. Once the parameters of the model are established, it can be used to compute the nonrandom distributions of trimers or hexamers in a new sequence to find regions that are compatible with the statistical profiles in the learning set.

Related Questions

Consider the following statements regarding genetic code and choose the correct answer:
1. The genetic code is degenerate
2. In all amino acids the first two bases are the same in all the codons that represent a particular amino acid
3. The number of codons an amino acid can claim is proportional to the frequency of the amino acid in proteins
4. Amino acids with codons ending in U or A also have codons ending in C or G respectively
Which of the following is a wrong statement regarding Gene Prediction Using Markov Models and Hidden Markov Models?
Below are the two ensemble models: 1. E1(M1, M2, M3) and 2. E2(M4, M5, M6) Above, Mx is the individual base models. Which of the following are more likely to choose if following conditions for E1 and E2 are given? E1: Individual Models accuracies are high but models are of the same type or in another term less diverse E2: Individual Models accuracies are high but they are of different types in another term high diverse in nature
Regarding bias and variance, which of the following statements are true? (Here 'high' and 'low' are relative to the ideal model.
i. Models which overfit are more likely to have high bias
ii. Models which overfit are more likely to have low bias
iii. Models which overfit are more likely to have high variance
iv. Models which overfit are more likely to have low variance
Regarding bias and variance, which of the following statements are true? (Here 'high' and 'low' are relative to the ideal model. (i) Models which overfit are more likely to have high bias (ii) Models which overfit are more likely to have low bias (iii) Models which overfit are more likely to have high variance (iv) Models which overfit are more likely to have low variance
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.
In Ab Initio–Based Programs for Gene Prediction– Gene content refers to coding statistics, which includes nonrandom nucleotide distribution, amino acid distribution, synonymous codon usage, and hexamer frequencies.
Select the alternative which has the same relation between the triplets of the letter set as is the relation between the triplets of the given letter group. (ADG, BEH, CFI)
A manufacturer of TV wants to make a profit of Tk. 300,000 on sale of 200 TV sets. It costs Tk. 10,000 each to make the first 100 TV sets and Tk. 7,500 each to make TV sets after the first 100 sets. What should be the selling price of each TV sets in Taka?
Which of the following statements about gene therapy are correct?
P. Affected individuals, but not their progeny, can be cured through germline gene therapy.
Q. Affected individuals, as well as their progeny, can be cured through germline gene therapy.
R. Affected individuals, but not their progeny, can be cured through somatic gene therapy.
S. Affected individuals, as well as their progeny, can be cured through somatic gene therapy.