Sequence Alignment MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Sequence Alignment, 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 Sequence Alignment 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 Sequence Alignment mcq questions that explore various aspects of Sequence Alignment problems. Each MCQ is crafted to challenge your understanding of Sequence Alignment 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 Sequence Alignment 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 Sequence Alignment. 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 Sequence Alignment knowledge to the test? Let's get started with our carefully curated MCQs!

Sequence Alignment MCQs | Page 5 of 15

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Q41.
When did Needleman-Wunsch first describe the algorithm for global alignment?
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Answer: (b).1970
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Answer: (d).The method can be useful in aligning protein sequences to protein sequences only
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Answer: (c).This does not help in determining evolutionary relationship
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Answer: (d).This method can be applied to even large sized sequences
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Answer: (d).First row and first column are set to zero
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Answer: (b).It stands for Point Altered Mutations
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Answer: (c).If the residues are not same, the mismatch score is assumed as 3
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Answer: (d).For two sequences of length m and n, the matrix to be defined should be of dimensions m and n
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Answer: (c).It is useful when the aligning sequences are dissimilar
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Answer: (d).BLOSUM-X type uses logarithmic identity to find similarity