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Algorithmic Thinking in Bioinformatics · End Term · Jan 2023 · AN

Algorithmic Thinking in Bioinformatics · End Term · Jan 2023 AN

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Question 132 MCQ · 3.0 marks

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0.28
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0.094
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0.007
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0.55

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Question 133 MCQ · 3.0 marks

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3
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2
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4
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8

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Question 134 MCQ · 3.0 marks

The DNA-binding domain (region or substring) of a Protein ”P” is found to be homologous (same function) in Organisms 1 and 2. Which among the following would you suggest to compare them?
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Local alignment
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Global alignment
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Both Local alignment and Global alignment
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None of these

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Question 135 MCQ · 3.0 marks

Consider the following hypothetical phylogenetic tree constructed using viral sequences isolated from different host species.
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Which of the following is/are true (with absolute certainty) with respect to the immediate common ancestor of the Human and Chicken viruses?
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Human virus is the immediate common ancestor
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Chicken virus is the immediate common ancestor
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Pig virus is the immediate common ancestor
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Cannot tell

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Question 136 MCQ · 3.0 marks

Which of the following is/are not true with respect to additive and ultrametric distance matrices and trees? Assume that the distance matrix satisfies the usual distance metric axioms like non- negativity, symmetricity and triangle inequality. Also, recall that an ultrametric distance matrix is any distance matrix that can be derived from some ultrametric tree (using the edge weights and paths in that tree).
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A 3 × 3 non-additive distance matrix is possible.
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A 4 × 4 non-additive distance matrix is possible.
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All ultrametric distance matrices are additive but not vice-versa.
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In an ultrametric tree, the distance from the root to any leaf is the same.

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Question 137 MCQ · 3.0 marks

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Only 2
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2 and 3
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1 and 3
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Only 3

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Question 138 MCQ · 3.0 marks

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Question 139 MCQ · 4.0 marks

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Question 140 MCQ · 4.0 marks

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Source diagram or notation

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Question 141 MSQ · 2.0 marks

Which of the following is/are are True about **hard K-means clustering** algorithm?
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Sensitivity to outliers
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Sensitivity to centroid initialization
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Non-convergence
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Some of the output clusters can be non-convex.

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Question 142 MSQ · 3.0 marks

Which of the following is/are example(s) of poor Hard clustering?
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Question 143 MSQ · 3.0 marks

Randomness is used to make decisions in which steps of the Gibbs sampling-based algorithm for motif-finding?
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Initial choice of motifs.
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Calculations of the probability of k-mers using Profile matrix.
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Choosing the sequence to ignore for the current iteration.
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Choosing the k-mer for the ignored sequence.

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Question 144 MCQ · 3.0 marks

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Based on the above data, answer the given subquestions.
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Question 145 MCQ · 3.0 marks

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Based on the above data, answer the given subquestions.
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Question 146 MSQ · 5.0 marks

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Question 147 MCQ · 2.0 marks

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      **BBN** **Section Id :** 64065338435 **Section Number :** 8 **Section type :** Online **Mandatory or Optional :** Mandatory **Number of Questions :** 47 **Number of Questions to be attempted :** 47 **Section Marks :** 100 **Display Number Panel :** Yes **Group All Questions :** No **Enable Mark as Answered Mark for Review and** Yes **Clear Response :** **Maximum Instruction Time :** 0

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