Gene and Promoter Prediction MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Gene and Promoter Prediction, a fundamental topic in the field of Bioinformatics. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Gene and Promoter Prediction MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Gene and Promoter Prediction mcq questions that explore various aspects of Gene and Promoter Prediction problems. Each MCQ is crafted to challenge your understanding of Gene and Promoter Prediction principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Bioinformatics tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Gene and Promoter Prediction MCQs are your pathway to success in mastering this essential Bioinformatics topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of Gene and Promoter Prediction. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your Gene and Promoter Prediction knowledge to the test? Let's get started with our carefully curated MCQs!

Gene and Promoter Prediction MCQs | Page 3 of 9

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Discuss
Answer: (d).They tend to have a very high gene density
Discuss
Answer: (c).The second event is splicing, which is the process of removing exons and joining introns
Q23.
The main issue in prediction of eukaryotic genes is the identification of exons, introns, and splicing sites.
Discuss
Answer: (a).True
Q24.
Most vertebrate genes use __________ as the translation start codon and have a uniquely conserved flanking sequence call a Kozak sequence (CCGCCATGG).
Discuss
Answer: (b).ATG
Discuss
Answer: (d).To predict exons, the algorithms rely solely on gene signals
Q26.
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.
Discuss
Answer: (a).True
Discuss
Answer: (c).They resembles ab initio approaches
Discuss
Answer: (c).The model is not fed with a sequence of known gene structure
Q29.
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.
Discuss
Answer: (a).True
Discuss
Answer: (d).LDA works by plotting a three-dimensional graph of coding signals versus all potential 3’ splice site positions
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