Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics.It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities.
1. Chapter 1. Introduction to basics of bioinformatics - p. 1 2. Chapter 2. Biological databases and their application - p. 17 3. Chapter 3. Biological sequence analysis - p. 33 4. Chapter 4. Genome assembly and annotation - p. 49 5. Chapter 5. Computational molecular phylogeny: concepts and applications - p. 67 6. Chapter 6. Applications and challenges of microarray and RNA-sequencing - p. 91 7. Chapter 7. RNA-seq for revealing the function of the transcriptome - p. 105 8. Chapter 8. Analysis of SSR and SNP markers - p. 131 9. Chapter 9. Gene Ontology: application and importance in functional annotation of the genomic data - p. 145 10. Chapter 10. Metagenomics: the boon for microbial world knowledge and current challenges - p. 159 11. Chapter 11. Protein structure prediction - p. 177 12. Chapter 12. Structural and functional analysis of protein - p. 189 13. Chapter 13. Computational approaches in drug designing - p. 207 14. Chapter 14. Structure-based drug designing - p. 219 15. Chapter 15. Ligand-based drug designing - p. 233 16. Chapter 16. Discovery and optimization of lead molecules in drug designing - p. 253 17. Chapter 17. Pharmacophore modeling and its applications - p. 269 18. Chapter 18. Molecular docking and molecular dynamics simulation - p. 291 19. Chapter 19. Pharmacokinetics and pharmacodynamics analysis of drug candidates - p. 305 20. Chapter 20. Computational approaches for vaccine designing - p. 317 21. Chapter 21. Metabolomics and flux balance analysis - p. 337 22. Chapter 22. Topological parameters, patterns, and motifs in biological networks - p. 367 23. Chapter 23. Network biology and applications - p. 381 24. Chapter 24. Pathway modeling and simulation analysis - p. 409 25. Chapter 25. Systems biology and big data analytics - p. 425 26. Chapter 26. Machine learning in bioinformatics - p. 443 27. Chapter 27. Bioinformatics and biological data mining - p. 457 28. Index - p. 473
Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics.It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities.
1. Chapter 1. Introduction to basics of bioinformatics - p. 1 2. Chapter 2. Biological databases and their application - p. 17 3. Chapter 3. Biological sequence analysis - p. 33 4. Chapter 4. Genome assembly and annotation - p. 49 5. Chapter 5. Computational molecular phylogeny: concepts and applications - p. 67 6. Chapter 6. Applications and challenges of microarray and RNA-sequencing - p. 91 7. Chapter 7. RNA-seq for revealing the function of the transcriptome - p. 105 8. Chapter 8. Analysis of SSR and SNP markers - p. 131 9. Chapter 9. Gene Ontology: application and importance in functional annotation of the genomic data - p. 145 10. Chapter 10. Metagenomics: the boon for microbial world knowledge and current challenges - p. 159 11. Chapter 11. Protein structure prediction - p. 177 12. Chapter 12. Structural and functional analysis of protein - p. 189 13. Chapter 13. Computational approaches in drug designing - p. 207 14. Chapter 14. Structure-based drug designing - p. 219 15. Chapter 15. Ligand-based drug designing - p. 233 16. Chapter 16. Discovery and optimization of lead molecules in drug designing - p. 253 17. Chapter 17. Pharmacophore modeling and its applications - p. 269 18. Chapter 18. Molecular docking and molecular dynamics simulation - p. 291 19. Chapter 19. Pharmacokinetics and pharmacodynamics analysis of drug candidates - p. 305 20. Chapter 20. Computational approaches for vaccine designing - p. 317 21. Chapter 21. Metabolomics and flux balance analysis - p. 337 22. Chapter 22. Topological parameters, patterns, and motifs in biological networks - p. 367 23. Chapter 23. Network biology and applications - p. 381 24. Chapter 24. Pathway modeling and simulation analysis - p. 409 25. Chapter 25. Systems biology and big data analytics - p. 425 26. Chapter 26. Machine learning in bioinformatics - p. 443 27. Chapter 27. Bioinformatics and biological data mining - p. 457 28. Index - p. 473
