Question Bank 456y41

Question Bank (last 5 years questions)

Bioinformatics-2 (EBT-502) For B.Tech Biotechnology III year Students

Dr. Ravindra Kumar Jain Department of Biotechnology Anand Engineering College

Agra

Questions based on Unit 1 1

Discuss an inference problem in molecular biology and its computational biology perspective. Explain with a suitable example. 2 Discuss the flow of information stored in DNA to protein 3 Enumerate key inference problems in molecular biology. Differentiate between orthologous and paralogous sequences 4 Discuss Homology identification in biological sequence alignment. 5 What do you understand by gene regulatory network? Explain with a suitable example. 6 Discuss the current methods for genome sequencing and importance of genome sequence annotation. Explain with suitable examples 7 Define Genome annotation? Explain in detail. 8 Briefly discuss the Chou-fasman algorithm for secondary structure prediction of proteins. 9 Discuss the procedure of microarray data analysis and various software tools used for the purpose. 10 What is network identification. Explain in detail 11 Briefly enumerate the various methods of protein structure prediction.

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2009

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12 What do you mean by protein function prediction. Explain with a suitable example. 13 Define any one computational method for 3-D protein structure modeling. 14 Define pairwise sequence alignment. Differentiate between local and global alignment.

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Questions based on Unit 2 1

Describe the advantage of clustering techniques in computational molecular biology (microarray data analysis).

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2

Discuss the various applications of regression analysis in bioinformatics Describe regression and statistical inference methods applied in bioinformatics analysis

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5

Explain the concept of Dimentionality reduction and its utility in solving the molecular biology problems. What is artificial neural network? Discuss the applications of feed forward back propagation method in protein structure prediction.

6

Discuss the applications of Vector Machines

7

What is Bayes rules. Explain its theorem in biological system.

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8

Explain applications of Statistics in Bioinformatics

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9

Describe the applications and limitations of Machine Learning approach.

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10 Explain applications of Genetic algorithm in bioinformatics

11 Briefly explain parametric test, cross validation and empirical significance testing. 12 Explain different Data Mining methods

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Questions based on Unit 3 1 2 3 4 5 6 7 8 9

What is biological bibliographic database. Explain with examples. Discuss how large biological documents are managed What do you understand by sensitivity analysis of a bioinformatics software tool. What are differential equation simulators, explain with suitable example Explain discrete and hybrid simulation applications in molecular biology Describe the general simulation techniques applicable to biological problems. Give the name of two most common computational operations performed in continuous simulation. How management information system is applied in bioinformatics. Discuss the importance of literature database in bioinformatics

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2008

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2008

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2006

Questions based on Unit 4 1 2 3 4

5

How bioinformatics can help in novel drug design. What is QSAR analysis. What is Pharmacogenomics. Mention their applications in drug discovery. Explain any one method for protein-ligand docking in drug deg. Discuss recent trends in Computational drug deg

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2009

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2009

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