Q. Shine-Delgarno sequence, which is a stretch of purine-rich sequence complementary to 16S rRNA in the ribosome.

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Q. There are ____ possible stop codons, identification of which is straightforward.

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Q. Which of the following is a wrong statement regarding the conventional determination of open reading frames?

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Q. The putative ORF can be translated into a protein sequence, which is then used to search against a protein database.

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Q. Which of the following is a wrong statement regarding TESTCODE method?

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Q. The conventional determination of open reading methods identify only typical genes and tend to miss atypical genes in which the rule of codon bias is not strictly followed.

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

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Q. 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.

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Q. 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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Q. Which of the following is untrue?

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Q. Which of the following is untrue about translation and transcription?

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Q. The main issue in prediction of eukaryotic genes is the identification of exons, introns, and splicing sites.

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Q. Most vertebrate genes use __________ as the translation start codon and have a uniquely conserved flanking sequence call a Kozak sequence (CCGCCATGG).

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Q. Which of the following is untrue about Ab Initio–Based Programs for Gene Prediction?

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Q. 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.

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Q. Which of the following is untrue about PredictionUsing NeuralNetworks for Gene Prediction?

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Q. Which of the following is untrue about Prediction Using Neural Networks for Gene Prediction?

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Q. GRAIL is a web-based program that is based on a neural network algorithm Which is trained on several statistical features such as splice junctions, start and stop codons, poly-A sites, promoters, and CpG islands.

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Q. Which of the following is untrue about Prediction Using Discriminant Analysis for Gene Prediction?

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Q. Which of the following is untrue about FGENES?

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