The book provides a comprehensive introduction to the principles, tools, and applications of bioinformatics with emphasis on biological data analysis and modern computational approaches in life sciences. The book explains the generation, organization, storage, retrieval, and interpretation of biological data including DNA, RNA, protein sequences, structural information, and gene expression datasets.
The text systematically covers various biological databases such as GenBank, UniProt, Protein Data Bank (PDB), KEGG, PubMed, and crop genome databases, highlighting their structure, functions, and applications in biological research and agriculture. Detailed discussions on sequence alignment, scoring matrices, heuristic methods, multiple sequence alignment, phylogenetic analysis, and molecular visualization tools help readers understand computational analysis of biological systems.
Special emphasis is given to bioinformatics tools used in genomics, proteomics, comparative genomics, metabolic pathway analysis, and agricultural bioinformatics. Designed for students, researchers, and professionals in biotechnology, molecular biology, genetics, and computational biology, this book serves as a valuable resource for understanding biological databases and modern bioinformatics applications in research and innovation.
Chapter 1. Introduction to Bioinformatics
Chapter 2. Biological Data Types
Chapter 3. Collection and Organization of Biological Data
Chapter 4. Classification of Biological Databases
Chapter 5. Biological Database Retrieval Systems
Chapter 6. Sequence and Molecular File Formats
Chapter 7. Nucleotide Sequence Databases
Chapter 8. Protein Sequence Databases
Chapter 9. Structural Databases
Chapter 10. Genome Databases
Chapter 11. Metabolic Pathway Databases
Chapter 12. Literature and Bibliographic Databases
Chapter 13. Chemical and Small Molecule Databases
Chapter 14. Gene Expression Databases
Chapter 15. Crop Databases and Agricultural Bioinformatics
Chapter 16. Introduction to Bioinformatics Tools
Chapter 17. Sequence Alignment Concepts and Methods
Chapter 18. Scoring Matrices and Heuristic Methods
Chapter 19. Multiple Sequence Alignment and Phylogenetic Analysis
Chapter 20. Molecular Visualization Tools