1. Biological Databases and Sequence analysis in Bioinformatics

 Introduction to Bioinformatics, Biological Databases: sequence, structure and specialized databases, data retrieval, data formats, sequence submission methods, Bioinformatics tools for DNA & protein sequence analysis: Similarity search and alignment, pairwise & multiple sequence comparison, proteomics, pattern, motif & domain recognition, phylogenetic analysis, gene prediction and applications of Bioinformatics.

2. Computational methods in Structural biology

Defining Bioinformatics and Structural Bioinformatics, introduction to macromolecular structures, database searching, secondary structure calculations, homology modeling techniques, structure alignment methods, molecular visualization softwares and molecular docking studies.

 3. Bioinformatics: Approaches and Applications

Introduction to Computational Molecular Biology, Origin of biological data: data formats, properties and relevance of biological databases, Pairwise sequence comparisons: relevance of pair wise sequence comparisons, concept of identity and similarity, substitution matrices, search tools, Multiple sequence comparison & motifs: protein families, structure and semantic of biological motifs, motif data bases and search tools, Structured data storage and retrieval: macro molecular structures, molecular visualization, protein structure prediction and folding, docking studies, Application and scope of Bioinformatics.