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 8 of 9

Discuss
Answer: (c).cDNA does not play a role in prediction
Q72.
In CONPRO, for each program, the highest score prediction is taken as the promoter in the region.
Discuss
Answer: (a).True
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Answer: (c).The conservation from closely related organisms is most at the sequence level
Q74.
A caveat of phylogenetic footprinting is to extract noncoding sequences Upstream of corresponding genes and focus the comparison to this region only, which helps to prevent false positives.
Discuss
Answer: (a).True
Discuss
Answer: (c).The program does not accept pre-computed alignment
Q76.
rVISTA uses two orthologous sequences as input and first identifies all putative regulatory motifs based on TRANSFAC matches.
Discuss
Answer: (a).True
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Answer: (b).The method generates a single best alignment
Discuss
Answer: (d).The user does not necessarily provides a phylogenetic tree that defines the evolutionary relationship of the input sequences
Discuss
Answer: (a).MEME is the EM based program only for protein motif discovery
Discuss
Answer: (b).This approach appears to be less effective for finding transcription factor binding sites
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