Syllabus

Course Code: IN-BTY -909    Course Name: Bioinformatics

MODULE NO / UNIT COURSE SYLLABUS CONTENTS OF MODULE NOTES
1 Bioinformatics and biological databases: Introduction, application and limitation to bioinformatics; introduction, classification and pitfalls of biological databases, Biological data formats, Introduction to single letter code of aminoacids, symbols used in nucleotides, data retrieval- Entrez and SRS.
Sequence alignment: Substitution matrices, Scoring matrices – PAM and BLOSUM. Local and Global alignment concepts, Dot plot. Dynamic programming methodology: Needleman and Wunsch algorithm. Smith–Waterman algorithm. Statistics of alignment score.
Multiple sequence alignment.Progressive alignment.Database search for similar sequences using FASTA and BLAST Programs. Evolutionary analysis: distances, Cladistic and Phenetic methods. Clustering Methods. Rooted and unrooted tree representation. Bootstrapping strategies, Use of Clustal and PHYLIP.
2 Molecular Phylogenetics: Molecular Evolution, Gene Phylogeny versus Species Phylogeny, Forms of Tree Representation, Phylogenetic Tree Evaluation, Phylogenetic Programs
Distance-Based Methods, Character-Based Methods, Gene finding methods. Gene prediction: Analysis and prediction of regulatory regions. Fragment assembly. Genome sequence assembly, Restriction Mapping, Repeat Sequence finder.
Structural Bioinformatics:Concepts of secondary structure prediction of RNA and Protein. Probabilistic models: Markov chain, Hidden Markov Models-other applications.
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