Sometimes, it is also possible that two sequences have derived from a common ancestor, but may have diverged to such an extent that the common ancestral relationships are not recognizable at the sequence level.(a) True(b) FalseThe question was posed to me in an international level competition.This is a very interesting question from Sequence Homology Versus Sequence Similarity and Identity topic in chapter Pairwise Sequence Alignment of Bioinformatics

Sometimes, it is also possible that two sequences have derived from a

1.	Sometimes, it is also possible that two sequences have derived from a common ancestor, but may have diverged to such an extent that the common ancestral relationships are not recognizable at the sequence level.(a) True(b) FalseThe question was posed to me in an international level competition.This is a very interesting question from Sequence Homology Versus Sequence Similarity and Identity topic in chapter Pairwise Sequence Alignment of Bioinformatics
Answer» The correct answer is (a) True Easiest explanation: There are EXAMPLES of such paralogous genes that have distinct functions but SIMILAR origin. In that case, the DISTANT evolutionary relationships have to be detected USING other methods.

Discussion

No Comment Found

Related InterviewSolutions

Which of the following is untrue about the PRSS program?(a) It stands for Probability of Random Shuffles(b) It is a web-based program that can be used to evaluate the statistical significance of DNA or protein sequence alignment(c) It first aligns two sequences using the Needleman-Wunsch algorithm and calculates the score(d) It holds one sequence in its original form and randomizes the order of residues in the other sequence.I have been asked this question at a job interview.The doubt is from Statistical Significance of Sequence Alignment in section Pairwise Sequence Alignment of Bioinformatics
What is used to generate parameters for the extreme distribution?(a) The pool of alignment scores from the shuffled sequences(b) A single score of a shuffled sequence(c) The pool of alignment scores from the unshuffled sequences(d) The basic optimal score computed at the beginning of the testThis question was posed to me in a job interview.My enquiry is from Statistical Significance of Sequence Alignment topic in portion Pairwise Sequence Alignment of Bioinformatics
In the statistical test, randomization process in which one of the two given sequences is randomly shuffled.(a) True(b) FalseI have been asked this question by my school teacher while I was bunking the class.Query is from Statistical Significance of Sequence Alignment topic in division Pairwise Sequence Alignment of Bioinformatics
It is not known whether the Gumble distribution applies equally well to gapped alignments.(a) True(b) FalseI have been asked this question by my school principal while I was bunking the class.My doubt stems from Statistical Significance of Sequence Alignment in portion Pairwise Sequence Alignment of Bioinformatics
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(d) very likely, significantI have been asked this question at a job interview.My question comes from Statistical Significance of Sequence Alignment topic in division Pairwise Sequence Alignment of Bioinformatics
The major disadvantage of the PRSS program is that it doesn’t allow partial shuffling.(a) True(b) FalseThis question was addressed to me in examination.This key question is from Statistical Significance of Sequence Alignment topic in division Pairwise Sequence Alignment of Bioinformatics
Which of the following is a part of the statistical test of sequences?(a) An optimal alignment between two chosen sequences is obtained at the end(b) Unrelated sequences of the same length are then generated through a randomization process(c) Unrelated sequences of the different length are then generated through a randomization process(d) Related sequences of the same length are then generated through a randomization processI have been asked this question by my school principal while I was bunking the class.Question is taken from Statistical Significance of Sequence Alignment in division Pairwise Sequence Alignment of Bioinformatics
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 _______(a) Gumble elective value distribution(b) Gumble extreme void distribution(c) Gumble end value distribution(d) Gumble extreme value distributionI got this question in an interview for internship.The doubt is from Statistical Significance of Sequence Alignment topic in portion Pairwise Sequence Alignment of Bioinformatics
By calculating alignment scores of a large number of ______ sequence pairs, a distribution model of the ______ sequence scores can be derived.(a) related, randomized(b) unrelated, randomized(c) unrelated, unrandomized(d) related, unrandomizedI got this question in an interview for internship.I'm obligated to ask this question of Statistical Significance of Sequence Alignment in division Pairwise Sequence Alignment of Bioinformatics
A sequence can be aligned with itself to identify internal repeat elements.(a) True(b) FalseI have been asked this question by my school teacher while I was bunking the class.The question is from Methods topic in chapter Pairwise Sequence Alignment of Bioinformatics

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment