
BI

Quiz
•
Biology
•
University - Professional Development
•
Hard
PRATAP KUMAR
Used 2+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The procedure of aligning 2 sequences by searching for pattern that is in the same order in the sequences.
Sequence alignment
Pairwise alignment
Multiple sequence alignment
All of these
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Alignment method suitable for aligning closely related sequence is
Multiple sequence alignment
Pairwise sequence alignment
Global alignment
Local alignment
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When did Smith–Waterman first describe the algorithm for local alignment?
1955
1970
1981
1925
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following does not describe local alignment?
A local alignment aligns a substring of the query sequence to a substring of the target sequence
A local alignment is defined by maximizing the alignment score, so that deleting a column from either end would reduce the score, and adding further columns at either end would also reduce the score
Local alignment have terminal gaps
The substrings to be examined may be all of one or both sequences; if all of both are included then the local alignment is also global
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Local alignments are more used when _____________.
There are totally similar and equal length sequences
Dissimilar sequences are suspected to contain regions of similarity
Similar sequence motif with larger sequence context
Partially similar, different length and conserved region containing sequences
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following does not describe BLOSUM matrices?
It stands for BLOcks SUbstitution Matrix
It was developed by Henikoff and Henikoff
The year it was developed was 1992
These matrices are logarithmic identity values
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Among the following which one is not the approach to the local alignment?
Smith-Waterman algorithm
K-tuple method
Words method
Needleman-Wunsch algorithm
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