Full Description
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.
Contents
1. Introduction to Basics of Bioinformatics 2. Biological Databases and their Applications 3. Biological Sequence Analysis 4. Genome Assembly and Annotation 5. Computational Molecular Phylogeny: Concepts and Applications 6. Applications and challenges of microarray and RNA-sequencing 7. RNAseq Data Analysis 8. Analysis of SSR and SNP Markers 9. Gene Ontology (GO): Application and Importance in Functional Annotation of the Genomic Data 10. Metagenomics: The Boon for Microbial World Knowledge and Current Challenges 11. Protein structure Prediction 12. Structural and Functional analysis of protein 13. Computational Approaches in Drug designing 14. Structure-Based Drug Designing 15. Ligand-Based Drug Designing 16. Discovery and Optimization of Lead Molecules in Drug Designing 17. Pharmacophore modeling and its applications 18. Molecular Docking and Molecular Dynamics Simulation 19. Pharmacokinetics and Pharmacodynamics analysis of Drug Candidates 20. Computational Approaches for Vaccine Designing 21. Metabolomics and Flux Balance Analysis 22. Topological Parameters, Patterns, and Motifs in Biological Networks 23. Network Biology and its Application 24. Pathway Modeling and Simulation Analysis 25. Systems Biology and Big Data Analytics 26. Machine Leaning in Bioinformatics 27. Bioinformatics and Biological Data mining
