In the ab initio–based approaches—they rely on two major features associated with genes: one of thembeing gene content, which is statistical description of coding regions.(a) True(b) FalseThis question was posed to me in homework.This key question is from Categories of Gene Prediction Programs in chapter Gene and Promoter Prediction of Bioinformatics

In the ab initio–based approaches—they rely on two major features

1.	In the ab initio–based approaches—they rely on two major features associated with genes: one of thembeing gene content, which is statistical description of coding regions.(a) True(b) FalseThis question was posed to me in homework.This key question is from Categories of Gene Prediction Programs in chapter Gene and Promoter Prediction of Bioinformatics
Answer» Correct answer is (a) True Easiest explanation: It has been observed that NUCLEOTIDE composition and statistical PATTERNS of the coding regions tend to vary SIGNIFICANTLY from those of the non-coding regions. The UNIQUE features can be detected by employing probabilistic models such as Markov models or hidden Markov models to HELP distinguish coding from non-coding regions.

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