Module I
Molecular Biology and Bioinformatics: Introduction to molecular biology- Nucleic acids-DNA-RNAProteins-Gene-Genome-Genetic synthesis-Translation-Transcription-Protein synthesis-Chromosomes-Maps and sequences-Human genome project.

Module II
Sequence alignment and database search: Pair-wise sequence alignment- Substitution matrixes -PAM and BLOSSUM matrices, Dot plots - Local and global alignment theory - Dynamic programming methods -FASTA and BLAST algorithms - database search using BLAST and FASTA - Similarity & distance -Similarity scores - Weight matrices - Heuristic method - Hidden Markov Models and their application in sequence analysis

Module III
Phylogenetic trees: Introduction -Dendrogram construction / Molecular Phylogenetics / Tree definitions / Optimality criteria / Distance matrix methods and maximum parsimony / Multiple sequence alignments- tree alignments, star alignments, pattern in pair wise alignment / Genetic algorithm

Module IV
DNA Micro-arrays and Gene Expression- Gene profiling- DNA Microarray technology- Gene regulatory network- Heuristic Algorithms for GRN- S-system model – Computational methods for pathways and system biology- metabolic pathways- genetic pathways- signaling pathways

Module V
Molecular Structure Prediction- RNA secondary structure prediction-Protein Folding problems-Protein threading- Protein structure analysis.