MCQs
Total Questions : 150
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Answer: Option B. -> It stands for Point Altered Mutations
Answer: (b).It stands for Point Altered Mutations
Answer: (b).It stands for Point Altered Mutations
Answer: Option D. -> For two sequences of length m and n, the matrix to be defined should be of dimensions m and n
Answer: (d).For two sequences of length m and n, the matrix to be defined should be of dimensions m and n
Answer: (d).For two sequences of length m and n, the matrix to be defined should be of dimensions m and n
Answer: Option C. -> It is useful when the aligning sequences are dissimilar
Answer: (c).It is useful when the aligning sequences are dissimilar
Answer: (c).It is useful when the aligning sequences are dissimilar
Answer: Option D. -> BLOSUM-X type uses logarithmic identity to find similarity
Answer: (d).BLOSUM-X type uses logarithmic identity to find similarity
Answer: (d).BLOSUM-X type uses logarithmic identity to find similarity
Answer: Option C. -> If the residues are not same, the mismatch score is assumed as 3
Answer: (c).If the residues are not same, the mismatch score is assumed as 3
Answer: (c).If the residues are not same, the mismatch score is assumed as 3
Answer: Option D. -> The log odds scores of the PSSM are modified at the end of the process
Answer: (d).The log odds scores of the PSSM are modified at the end of the process
Answer: (d).The log odds scores of the PSSM are modified at the end of the process
Answer: Option C. -> Distinctly related sequences that share common motifs
Answer: (c).Distinctly related sequences that share common motifs
Answer: (c).Distinctly related sequences that share common motifs
Answer: Option B. -> The procedure stops prematurely if the scores reach convergence
Answer: (b).The procedure stops prematurely if the scores reach convergence
Answer: (b).The procedure stops prematurely if the scores reach convergence
Answer: Option B. -> two
Answer: (b).two
Answer: (b).two
Answer: Option A. -> Multiple Expectation Maximization for Motif Elicitation
Answer: (a).Multiple Expectation Maximization for Motif Elicitation
Answer: (a).Multiple Expectation Maximization for Motif Elicitation