Question

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

This question was posed to me in an online interview.

Question is from Gene Prediction in Prokaryotes topic in division Gene and Promoter Prediction of Bioinformatics

Answer 1

Correct answer is (a) True

The best I can explain: 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.