8/13/2019 Bif203 Bioinformatics Eth 1.00 Ac16

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Bioinformatics LTPC: 3 0 2 4

Version No. 1.0.0Course Prerequisites BiochemistryObjectives: To provide a detailed knowledge on the basics of bioinformatics for

biotechnologists. To apply bioinformatics methods in various fields ofbiotechnology.

Expected Outcome: Acquire a good knowledge on identification of novel gene function.Visualize and analyze protein structure and gene expression data

Unit No. 1 Databases Number of hours: 9Introduction to Bioinformatics. Biological information resources. Genome sequence acquisition andanalysis, Retrieval of biological data. Data acquisition, databases, structure and annotation. Datamining and data characteristics.Unit No. 2 Sequence Alignment and Database searches Number of hours: 9Database searches and Sequence Alignment. Pair wise and multiple sequence alignment. Methods oflocal and global alignment. Dynamic programming, Scoring matix, PAM, searching sequence databasesby sequence similarity-BLAST and FASTA.

Unit No. 3 Phylogeny Analysis Number of hours: 9Phylogenetics, Molecular Phylogeny and evolutionary analysis. ClustalW, MSA, Dendrogram,Maximum likelihood, Maximum Parsimony, convergent and parallel evolution, Bootstrapping,Jackknifing. Phylograms.Unit No. 4 Structural bioinformatics Number of hours: 9Structural bioinformatics, analysis for protein structure, Predicting protein structure and function fromSequence. Homology modeling. Microarray Data analysis- proteomic data analysis. Visualization ofmolecular structures.Unit No. 5 Applications of Bioinformatics Number of hours: 9Scope of bioinformatics. Bioinformatics in the Pharmaceutical Industry- Structure-Based Rational DrugDesign and discovery. Chemi-informatics in BiologyNo. Experiment

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Operating systems, Internet browsers and File Editors2. Biological databases3. File formats of biological databases Analysis and Interconversion4. Retrieval of sequences from biological databases BLAST and FASTA5. Pairwise Alignment of sequences6. Multiple sequence alignment7. Phylogenetic analyses8. Gene prediction9. Prediction of secondary structures of protein10. Protein structure Visualization (Rasmol, Deepview, Cn3D)11. Submission of sequences to databases

Text Books 1. Attwood, T. and P.S. David. 2006. Introduction to Bioinformatics. PearsonEducation Ltd., New York.

2. Baxevanis, A.D., and Ouellette, B.F.F. (eds) 2006. Bioinformatics A Practical Guideto Analysis of Genes and Proteins. 3rdEdition, John Wiley and Sons, New York.

References 1. Attwood T.K. and Higgs, P.G. 2005. Bioinformatics and molecular evolution.Blackwell Publishers, London.

2. Lesk, A.M. 2002. Introduction to Bioinformatics. Oxford University Press.Mode of Evaluation Written examinations/ Seminar/ Quiz /AssignmentsRecommended by the Board of Studies on 13thNovember, 2008Date of Approval by the Academic Council 25thNovember, 2008

Proceedings of the 16thAcademic Council held on 25.11.2008