Main 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