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

1.	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

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

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