Bioinformatics is an interdisciplinary field mainly involving molecular biology and genetics, computer science, mathematics, and statistics. Data intensive, large-scale biological problems are addressed from a computational point of view. With the availability of large number of genome sequences in public domain bioinformatics methods have been used to understand features, function, structure, or evolution of the genome sequences. Our thrust area is the analysis of genome sequences of human pathogens. Analysis of sequence data involves DNA and protein sequences for clues regarding function, identification of homologs, multiple sequence alignment, searching sequence patterns, and evolutionary analyses. We also perform analysis and prediction of protein structures (secondary and tertiary) and the associated problems regarding function, and structural alignment. Biological networks such as gene regulatory networks, metabolic pathways, and protein-protein interaction networks are usually modeled as graphs and graph theoretic approaches are used to solve associated problems such as construction and analysis of large-scale networks.