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This section includes 97 Mcqs, each offering curated multiple-choice questions to sharpen your Bioinformatics knowledge and support exam preparation. Choose a topic below to get started.
1. |
In a SCFG, each production of a non-terminal symbol has an associated probability for giving rise to the resulting product, and there are a set of productions, each giving a different result. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
2. |
A type of RNA secondary structure prediction method takes into account conserved patterns of base-pairing that are conserved during evolution of a given class of RNA molecules. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
3. |
______ regions in sequences, such as those in RNA that will form secondary structures, are an example of such context-free sequences. |
A. | non-interlocking |
B. | non-Complementary |
C. | complementary |
D. | non-compatible |
Answer» D. non-compatible | |
4. |
Through a single scoring matrix, evaluation of all the different possible configurations is done. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
5. |
____ wobble pairs may be produced in these double-stranded regions. |
A. | A/A |
B. | A/U |
C. | G/C |
D. | G/U |
Answer» E. | |
6. |
A limitation of the Zuker method and other methods (Nakaya et al. 1995) for computing suboptimal RNA structures is that they do not compute all the structures within a given energy range of the minimum free-energy structure. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
7. |
Nussinov and Jacobson (1980) were the first to design a precise and efficient algorithm for predicting secondary structure. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
8. |
Originally, the FOLD program of _____ predicted _____ having the minimum free energy. |
A. | M. Zuker, two structures |
B. | M. Wunsch, two structures |
C. | M. Zuker, only one |
D. | M. Wunsch, only one |
Answer» D. M. Wunsch, only one | |
9. |
The third assumption in predicting RNA secondary structure is that the structure is assumed to be formed by _____ of the chain back on itself in a manner that ________ |
A. | crossing, produces knots |
B. | crossing, does not produce any knots |
C. | folding, produces knots |
D. | folding, does not produce any knots |
Answer» E. | |
10. |
One of the first methods used to find tRNA genes was to search for sequences that are complementary and can fold into a knot like the three found in tRNAs. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
11. |
Three scores, Pnum (i), Hnum (i,j), and Ssum, have been derived to assist with a determination of the reliability of a secondary structure prediction for a particular base i or a base pair i,j. Which of the following is not a correct regarding Ssum? |
A. | is also called as ss-count |
B. | is the number of foldings in which base i is single-stranded divided by m, the number of folding |
C. | is the number of foldings in which base i is single-stranded multiplied by m, the number of folding |
D. | gives the probability that base i is single-stranded |
Answer» D. gives the probability that base i is single-stranded | |
12. |
In dynamic programming, in ab initio methods, Often ________ base pairing and energy terms of the base pairing _____ incorporated into the scoring process. |
A. | G-C, are |
B. | G–U, are not |
C. | G–U, are also |
D. | G-C, are not |
Answer» D. G-C, are not | |
13. |
The dynamic programming method produces ____ structure with _____ score. |
A. | one, single best |
B. | multiple, single best |
C. | multiple, multiple |
D. | single, multiple |
Answer» B. multiple, single best | |
14. |
Like Mfold, RNAfold only examines the energy terms of the optimal alignment in a dot plot. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
15. |
Which of the following is correct about MFOLD? |
A. | It uses the dynamic programming only |
B. | It uses the thermodynamic calculations only |
C. | It uses the both dynamic programming and thermodynamic calculations as well |
D. | It doesn’t take into account the themoststablility of the secondary structures |
Answer» C. It uses the both dynamic programming and thermodynamic calculations as well | |
16. |
Which of the following about the RNAFold is incorrect? |
A. | It extends the sequence alignment to the vicinity of the optimal diagonals to calculate thermodynamic stability of alternative structures |
B. | It incorporates a partition function |
C. | It doesn’t necessarily use a partition function |
D. | It aims to select a number of statistically most probable structures in one of its steps |
Answer» D. It aims to select a number of statistically most probable structures in one of its steps | |
17. |
The attractive interactions lead to _________ energy. |
A. | increased |
B. | higher |
C. | lower |
D. | no change in |
Answer» D. no change in | |
18. |
Four main subtypes of secondary structures can be identified. They are hairpin loops, bulge loops, interior loops, and multi-branch loops. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
19. |
The ______ refers to a structure with two ends of a single-stranded region (loop) connecting a base-paired region (stem). |
A. | helical junctions |
B. | hairpin loop |
C. | bulge loop |
D. | interior loop |
Answer» C. bulge loop | |
20. |
The __________ refers to two single-stranded regions on opposite strands connecting two adjacent base-paired segments. |
A. | hairpin loop |
B. | interior loop |
C. | pseudoknot loop |
D. | helical junctions |
Answer» C. pseudoknot loop | |
21. |
Base pairing, in RNA, is A–G and U–C. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
22. |
The object is to find a diagonal row of matches that goes from upper left to lower right. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
23. |
In comparative approach to RNA structure prediction, the Foldalign program doesn’t use the covariation information. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
24. |
In comparative approach to RNA structure prediction, algorithms that do not use pre-alignment, align multiple input sequences and infers a consensus structure. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
25. |
These limitations of the Zuker method and other methods have been largely overcome by using an algorithm originally described by Waterman and Byers (1985) for finding sequence alignments within a certain range of the optimal one by modifications of the trace-back procedure used in dynamic programming. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
26. |
In comparative approach to RNA structure prediction, Foldalign is a web-based only program for RNA alignment |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
27. |
In ab initio methods, a quantitative approach such as dynamic programming can be used to assemble a final structure with optimal base-paired regions. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
28. |
Martinez (1984) made a list of possible double-stranded regions, and these regions were then given weights in proportion to their equilibrium constants, calculated by ______ |
A. | the Boltzmann function [exp (-∆G/RT²)] |
B. | the Boltzmann function [exp (-∆G/RT)] |
C. | the Boltzmann function [exp (-∆G/RT -T)] |
D. | the Boltzmann function [exp (∆G/RT)] |
Answer» C. the Boltzmann function [exp (-∆G/RT -T)] | |
29. |
Ab initio methods are energetically least favorable. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
30. |
______ molecules can simply be identified based on their sequence similarity with already-known sequences. |
A. | Larger, less conserved |
B. | Larger, highly conserved |
C. | smaller, highly conserved |
D. | shorter, highly conserved |
Answer» C. smaller, highly conserved | |
31. |
To find suboptimal structures, the dynamic programming method was modified. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
32. |
The problem of dynamic programming to select one single structure can be complemented by adding a probability distribution function, known as the _________ which calculates a mathematical distribution of probable base pairs in thermodynamic equilibrium. |
A. | partition function |
B. | division function |
C. | increment function |
D. | fold function |
Answer» B. division function | |
33. |
If the base pair is adjacent to loops or bulges, the neighboring loops and bulges tend to ___________ the base-pair formation. |
A. | have no change on |
B. | decrease the energy |
C. | stabilize |
D. | destabilize |
Answer» E. | |
34. |
In ab initio approach, generally, when a base pairing is formed, the energy of the molecule is _________ because of attractive interactions between the two strands. |
A. | lowered |
B. | increased |
C. | multiplied |
D. | kept stable |
Answer» B. increased | |
35. |
RNA secondary structure is composed primarily of triple-stranded RNA regions formed by folding the single-stranded molecule back twice on itself. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» C. May be True or False | |
36. |
In dot matrix in ab initio methods, the diagonals _____________ to the main diagonal represent regions that can self hybridize. |
A. | parallel |
B. | cutting in random fashion |
C. | perpendicular |
D. | adjacent parallel |
Answer» D. adjacent parallel | |
37. |
Three scores, Pnum (i), Hnum (i,j), and Ssum, have been derived to assist with a determination of the reliability of a secondary structure prediction for a particular base i or a base pair i,j. Which of the following is not a correct regarding Hnum? |
A. | is the sum of Pnum(i) and Pnum(j) -1 |
B. | is the sum of Pnum(i) and Pnum(j) + 1 |
C. | is the total number of dots in the ith row and jth column |
D. | represents the total number of base pairs with the ith or jth base in the predicted structures |
Answer» C. is the total number of dots in the ith row and jth column | |
38. |
In predicting RNA secondary structure, some simplifying assumptions are usually made, like the _____ structure is similar to the _____ |
A. | most likely, energetically most unstable structure |
B. | most unlikely, energetically most stable structure |
C. | most likely, energetically most stable structure |
D. | least likely, energetically most stable structure |
Answer» D. least likely, energetically most stable structure | |
39. |
A general theory for modeling strings of symbols, such as bases in DNA sequences, has been developed by linguists. There is a hierarchy of these so-called transformational grammars that deal with situations of increasing complexity. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
40. |
If the centroid structure is different from the minimum free-energy structure, the centroid structure is often closer to the phylogenetic prediction and contains fewer base pairs, or fewer false-positive base pair predictions, than the minimum free-energy prediction. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
41. |
The ILM program uses an iterative loop matching algorithm to maximize base pairs and allows pseudoknots to form by allowing base. pairs to be added or removed in successive rounds. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
42. |
In comparative approach to RNA structure prediction, Dynalign is a ________ program. |
A. | Windows based |
B. | Fedora |
C. | UNIX |
D. | iOS based |
Answer» D. iOS based | |
43. |
In addition to the canonical base pairing, there often exists non-canonical base pairing such as _________ and ________ base paring. |
A. | G, U |
B. | G, C |
C. | U, C |
D. | A, C |
Answer» B. G, C | |
44. |
Which of the following is incorrect about the RNA structure prediction? |
A. | Given the sequence, it provides an ab initio prediction of secondary structure |
B. | From the many possible choices of complementary sequences that can potentially base-pair, the compatible sets that provide the highest energy molecules are chosen |
C. | Structures with energies almost as stable as the most stable one may also be produced |
D. | Regions whose predictions are the most reliable can be identified from such an analysis |
Answer» C. Structures with energies almost as stable as the most stable one may also be produced | |
45. |
The probabilistic model was used to identify small nucleolar (sno) RNAs in the yeast genome that methylate ribosomal RNA. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
46. |
Which of the following is untrue about the Sfold algorithm? |
A. | It uses a unique algorithm to aid in the design of siRNA |
B. | The algorithm combines thermodynamic stabilities, calculations of target accessibility, and empirical rules |
C. | The website offers specialized programs for the design of siRNA, antisense RNA, trans-cleaving RNA, and mRNA-microRNA interactions |
D. | The website doesn’t offer programs for the design of a general program for statistically sampling suboptimal RNA structures |
Answer» E. | |
47. |
The Second assumption in predicting RNA secondary structure is that the energy associated with any position in the structure is _____ influenced by local sequence and structure. |
A. | only |
B. | not at all |
C. | partially |
D. | never |
Answer» B. not at all | |
48. |
The use of SCFGs in RNA secondary structure production analysis is in fact very similar to that of the covariance model, with the grammatical productions resembling the nodes in the ordered binary tree. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
49. |
The probability model mentioned above was a hybrid combination of HMMs and SCFGs trained on sno RNAs. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |
50. |
The dot matrix method and the dynamic programming method can be used in detecting self-complementary regions of a sequence. |
A. | True |
B. | False |
C. | May be True or False |
D. | Can't say |
Answer» B. False | |