Details of LS4206 (Spring 2026)
| Level: 4 | Type: Theory | Credits: 4.0 |
| Course Code | Course Name | Instructor(s) |
|---|---|---|
| LS4206 | Bioinformatics | Angshuman Bagchi, Babu Sudhamalla |
| Preamble |
|---|
| This course introduces key concepts in analyzing biological data, including sequence alignment, protein structure prediction, evolutionary inference, and gene expression analysis. Students will learn to use algorithms for sequence comparison, such as Needleman-Wunsch and Smith-Waterman, and explore tools like PCA and clustering for high-throughput data. The course also covers phylogenetic analysis, molecular docking, and homology modeling, equipping students with the skills to interpret complex biological data. |
| Syllabus |
|---|
| Syllabus
Introduction to bioinformatics: Definitions, Terms used in bioinformatics, Biological databases and Sequence (nucleic acids, proteins), Structural databases, Different file formats, Query and retrieval of data. Sequence alignment: Evolutionary basis of sequence alignment, Statistical significance of an alignment. Algorithms for sequence analysis - Global alignment (Needleman-Wunsch), Local alignment (Smith-Waterman), and heuristic-based approaches (BLAST). Prediction of protein secondary and tertiary structures: Homology modeling and molecular docking. Evolutionary Inference from sequence data: Estimating rates of evolution. Phylogenetic analysis, Phylogenetic models, Phylogenetic tree construction and interpretation, Jukes and Cantor model, Kimura's two-parameter model, Tajima and Nei's method. Computational tools for expression analysis: Exploration of trends in high-throughput data using Principal Component Analysis (PCA) and hierarchical clustering, gene networks. |
| References |
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| References
1. Biological Sequence analysis by Durbin, Eddy, Krogh, Mitchison(Cambridge University Press, 1998. 2. Fundamentals of Molecular Evolution by Dan Graur and Wen-Hsiung Li (Sinauer, 2000, Second Edition). 3. Bioinformatics: Sequence and Genome Analysis by David W Mount (Cold Spring Laboratory Press 2004, Second Edition). 4. A. D. Baxevanis and B. F. F. Ouellette, Bioinformatics: A Practical Guide to Analysis of Genes and Proteins |
Course Credit Options
| Sl. No. | Programme | Semester No | Course Choice |
|---|---|---|---|
| 1 | IP | 2 | Elective |
| 2 | IP | 4 | Elective |
| 3 | MP | 2 | Elective |
| 4 | MP | 4 | Elective |
| 5 | MR | 2 | Elective |
| 6 | MR | 4 | Elective |
| 7 | MS | 10 | Elective |
| 8 | MS | 4 | Not Allowed |
| 9 | MS | 6 | Not Allowed |
| 10 | MS | 8 | Elective |
| 11 | RS | 1 | Elective |
| 12 | RS | 2 | Elective |