BI

BI

University - Professional Development

10 Qs

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BI

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Assessment

Quiz

Biology

University - Professional Development

Hard

Created by

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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