The quality and quantity of information provided by the PSSM also varies for ________ in the motif. Options: A . &nbspeach row B . &nbspeach column C . &nbsprows and columns D . &nbspneither the rows nor the columns

The quality and quantity of information provided by the PSSM also varies for __

Question

The quality and quantity of information provided by the PSSM also varies for ________ in the motif.

Options:

A . each row

B . each column

C . rows and columns

D . neither the rows nor the columns

Answer: Option B
Answer: (b).each column

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Question 1. If a good sampling of sequences is _______ the number of sequences is _________ and the motif structure is ________ it s....highly representative of the same motif in other sequences also.

Question 2. If the data set is _______ then unless the motif has __________ amino acids in each column, the column frequencies in th....be highly representative of all other occurrences of the motif.

Question 3. Even if many pseudocounts are added in comparison to real sequence counts, the amino acid frequencies will not have any ....amino acid frequencies will not have any effect or influence.

Question 4. Which of the following is not a feature of editors and formatters?....

Question 5. GDE (Genetic Data Environment) provides a general interface on UNIX machines for sequence analysis, sequence alignment e....UNIX machines for sequence analysis, sequence alignment editing, and display.

Question 6. MACAW is a local multiple sequence alignment program only.....

Question 7. Two commonly encountered examples are the Genetics Computer Group’s MSF format and the CLUSTALW ALN format.....

Question 8. Given a multiple alignment of three sequences, the sum of scores is calculated as the sum of the dissimilarity scores of....dissimilarity scores of every pair of sequences at each position.

Question 9. Which of the following is untrue about DCA?....

Question 10. As the amount of computational time and memory space required increases exponentially with the number of sequences, it m....method computationally prohibitive to use for a large data set.

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