Contents: Preface. I. Bioinformatics an introduction: 1. Introduction to bioinformatics. 2. Biological databases. 3. Bioinformatics tools and algorithms. 4. Practical aspects of bioinformatics. 5. Biology for bioinformatics. 6. Perl for bioinformatics. II. Bioinformatics algorithms and statistics: 1. Estimation and significance. 2. Clustering. 3. Machine learning SVM and ANN. 4. Simulation. 5. Simulated annealing. Appendices. Glossary. Tool index for bioinformatics. Important companies related to bioinformatics and biotechnology in India.