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 probabilityThe question was posed to me by my school principal while I was bunking the class.The question is from Gene Prediction in Prokaryotes topic in portion Gene and Promoter Prediction of Bioinformatics

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 probabilityThe question was posed to me by my school principal while I was bunking the class.The question is from Gene Prediction in Prokaryotes topic in portion Gene and Promoter Prediction of Bioinformatics
Answer» Correct option is (c) In a Markov MODEL the conditional probability of a particular sequence position depends on k alternate POSITIONS For explanation: In a Markov model the conditional probability of a particular sequence position depends on k previous positions. In this case, k is the order of a Markov model. In a zero-order Markov model, it is often the case for noncoding SEQUENCES. A first-order Markov model ASSUMES that the occurrence of a base depends on the base preceding it. A second-order model LOOKS at the preceding two bases to determine which base follows, which is more characteristic of codons in a coding sequence.

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