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Punjab Technical University 2010-2nd Sem B.Sc BioInformatics M.Sc(BI) (nd) BIO - INFORMATICS - Question Paper

Tuesday, 09 April 2013 08:20Web



Roll No.

[Total No. of Pages : 02

Total No. of Questions : 13]

[2037] M.Sc. (BI) (Semester - 2nd)

J-3742[S-1606]


BIO - INFORMATICS (M.Sc. (BI) - 201)

Time : 03 Hours Instruction to Candidates:

Maximum Marks : 75


1)    Section - A is compulsory.

2)    Attempt any Nine questions from Section - B.

Section - A

(15x 2 = 30)

Q1)


a)    Write briefly about data retrieval tools.

b)    Differentiate between genomics and proteomics.

c)    What do you know about yeast - 2 - hybrid system?

d)    Explain the term (i) Homologus (ii) Orthologus.

e)    Constitute a profile HMM (Hidden Markov Model) for finding genes.

f)    Differentiate between pair-wise sequence alignment and multiple sequence alignment.

g)    Write briefly about protein databases.

h)    Explain the use of sequence pattern.

i)    Differentiate between Local and Global alignment. j)    Draw a comparison between BLAST and FASTA. k)    What are the advantages of phylogenetic analysis?

l)    Write a short note on NMR spectroscopy.

m)    How will you construct a phylogenetic tree?

n)    Write briefly about Dynamic Programming Method.

o)    Write a short note on (i) String (ii) Gap penalty.

Q3) Define the terms

(a)    Deletion

(b)    Xenologus

(c)    Insertion

(d)    Transcription

(e)    Translation.

Q4) Write briefly about Neural networking. Give its significance.

Q5) Give a flow chart for protein structure prediction.

Q6) Explain briefly about Genetic Maps versus Physical Maps.

Q7) Differentiate between structural and functional annotation.

Q8) Write short note on

(a)    Monte Carlo Simulations

(b)    Molecular Dynamic Simulations

Q9) Explain the significance of

(a)    Motifs

(b)    Patterns.

Q10) Explain abinitio approach for protein prediction.

Q11) Write short note on

(a)    Protein sequence databases

(b)    Genetic databases.

Q12) Write briefly about SCOP. Give its significance.

Q13) Discuss advantages and limitations of using HMM (Hidden Markov Model) for prediction of genes.

J-3742[S-1606]    -2-







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