Bioinformatics Mcqs

Page No. 14

If the score is located in the extreme margin of the distribution, that means that the alignment between the two sequences is ______ due to random chance and is thus considered ______


a unlikely, significant

✓


b unlikely, insignificant

✖


c unlikely, insignificant

✖


dvery likely, significant

✖



What is used to generate parameters for the extreme distribution?


a The pool of alignment scores from the shuffled sequences

✓


bA single score of a shuffled sequence

✖


cThe pool of alignment scores from the unshuffled sequences

✖


dThe basic optimal score computed at the beginning of the test

✖



In the statistical test, randomization process in which one of the two given sequences is randomly shuffled.


aTrue

✓


bFalse

✖


ceither true and false

✖


dnone of these

✖


View Answer True

Which of the following is a part of the statistical test of sequences?


aAn optimal alignment between two chosen sequences is obtained at the end

✖


bUnrelated sequences of the same length are then generated through a randomization process

✓


cUnrelated sequences of the different length are then generated through a randomization process

✖


dRelated sequences of the same length are then generated through a randomization process

✖



Many studies have demonstrated that the distribution of similarity scores assumes a peculiar shape that resembles a highly skewed normal distribution with a long tail on one side. The distribution matches the _______


aGumble elective value distribution

✖


bGumble extreme void distribution

✖


cGumble end value distribution

✖


d Gumble extreme value distribution

✓



By calculating alignment scores of a large number of ______ sequence pairs, a distribution model of the ______ sequence scores can be derived.


arelated, randomized

✖


bunrelated, randomized

✓


c unrelated, unrandomized

✖


drelated, unrandomized

✖


View Answer unrelated, randomized

The truly statistically significant sequence alignment will be able to provide evidence of homology between the sequences involved.


aTrue

✓


bFalse

✖


ceither true and false

✖


dnone of these

✖


View Answer True

Which of the following is untrue about DCA?


aIt stands for Divide-and-Conquer Alignment

✖


bIt works by breaking each of the sequences into two smaller sections

✖


cThe breaking points during the process are determined based on regional similarity of the sequences

✖


d) If the sections are not short enough, further divisions are restricted as well

✓



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


a True

✓


b False

✖


ceither true and false

✖


dnone of these

✖


View Answer True

In a multidimensional search matrix, for aligning N sequences, an (N+2)-dimensional matrix is needed to be filled with alignment scores.


aTrue

✖


b False

✓


ceither true and false

✖


dnone of these

✖


View Answer False

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