Phylogenetic Methods and Programs MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Phylogenetic Methods and Programs, a fundamental topic in the field of Bioinformatics. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Phylogenetic Methods and Programs MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Phylogenetic Methods and Programs mcq questions that explore various aspects of Phylogenetic Methods and Programs problems. Each MCQ is crafted to challenge your understanding of Phylogenetic Methods and Programs principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Bioinformatics tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Phylogenetic Methods and Programs MCQs are your pathway to success in mastering this essential Bioinformatics topic.

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Phylogenetic Methods and Programs MCQs | Page 3 of 10

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Q21.
Sometimes a tree-building method may result in several equally optimal trees. A consensus tree can be built by showing the commonly resolved bifurcating portions and collapsing the ones that disagree among the trees, which results in a polytomy.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q22.
The number of rooted trees (NR) for n taxa is ______

a.

NR = (2nβˆ’ 3)!/2ⁿ⁺² (nβˆ’ 2)!

b.

NR = (2nβˆ’ 3)!/2ⁿ (nβˆ’ 2)!

c.

NR = (2nβˆ’ 3)!/2ⁿ⁻² (nβˆ’ 5)!

d.

NR = (2nβˆ’ 3)!/2ⁿ⁻² (nβˆ’ 2)!

Discuss
Answer: (d).NR = (2nβˆ’ 3)!/2ⁿ⁻² (nβˆ’ 2)!
Q23.
For unrooted trees, the number of unrooted tree topologies (NU) is ________

a.

NU = (2nβˆ’ 5)!/2ⁿ⁻³(nβˆ’ 5)!

b.

NU = (2nβˆ’ 5)!/2ⁿ⁻³(nβˆ’ 3)!

c.

NU = (2nβˆ’ 5)!/2¯²(nβˆ’ 3)!

d.

NU = (2nβˆ’ 5)!/2ⁿ(nβˆ’ 3)!

Discuss
Answer: (b).NU = (2nβˆ’ 5)!/2ⁿ⁻³(nβˆ’ 3)!
Q24.
It can be computationally very demanding to find a true phylogenetic tree when the number of sequences is large.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q25.
Which of the following is incorrect statement about Molecular Markers?

a.

For studying very closely related organisms, protein sequences are preferred

b.

The decision to use nucleotide or protein sequences depends on the purposes of the study

c.

For constructing molecular phylogenetic trees, one can use either nucleotide or protein sequence data

d.

The decision to use nucleotide or protein sequences depends on the properties of the sequences

Discuss
Answer: (a).For studying very closely related organisms, protein sequences are preferred
Q26.
For studying the evolution of ________ divergent groups of organisms, one may choose either ______ nucleotide sequences, such as ribosomal RNA or protein sequences.

a.

less widely, slowly evolving

b.

more widely, slowly evolving

c.

more widely, rapidly evolving

d.

less widely, rapidly evolving

Discuss
Answer: (b).more widely, slowly evolving
Q27.
In many cases ______ sequences are preferable to ______ sequences because they are relatively ____ conserved.

a.

protein, nucleotide, less

b.

nucleotide, protein, less

c.

protein, nucleotide, more

d.

nucleotide, protein, more

Discuss
Answer: (c).protein, nucleotide, more
Q28.
Protein sequences can remain the same while the corresponding DNA sequences have more room for variation.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q29.
DNA sequences are sometimes more biased than protein sequences because of preferential codon usage in different organisms.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q30.
In Jukes–Cantor Model to correct evolutionary distances, A formula for deriving evolutionary distances that include hidden changes is introduced by using a logarithmic function. It is ____

a.

dα΄€Κ™ = βˆ’(3/4) log[1 βˆ’ (4/7)β‚šα΄€Κ™]

b.

dα΄€Κ™ = βˆ’(3/4) ln[1 βˆ’ (5/3)β‚šα΄€Κ™]

c.

dα΄€Κ™ = βˆ’(3/4) log[1 βˆ’ (4/3)β‚šα΄€Κ™]

d.

dα΄€Κ™ = βˆ’(3/4) ln[1 βˆ’ (4/3)β‚šα΄€Κ™]

Discuss
Answer: (d).dα΄€Κ™ = βˆ’(3/4) ln[1 βˆ’ (4/3)β‚šα΄€Κ™]
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