
- 510 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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.
- Covers basic and more advanced developments of bioinformatics with a diverse and interdisciplinary approach to fulfill the needs of readers from different backgrounds
- Explains in a practical way how to decode complex biological problems using computational approaches and resources
- Brings case studies, real-world examples and several protocols to guide the readers with a problem-solving approach
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Bioinformatics by Dev Bukhsh Singh,Rajesh Kumar Pathak in PDF and/or ePUB format, as well as other popular books in Medicine & Pharmaceutical, Biotechnology & Healthcare Industry. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- Chapter 1. Introduction to basics of bioinformatics
- Chapter 2. Biological databases and their application
- Chapter 3. Biological sequence analysis
- Chapter 4. Genome assembly and annotation
- Chapter 5. Computational molecular phylogeny: concepts and applications
- Chapter 6. Applications and challenges of microarray and RNA-sequencing
- Chapter 7. RNA-seq for revealing the function of the transcriptome
- Chapter 8. Analysis of SSR and SNP markers
- Chapter 9. Gene Ontology: application and importance in functional annotation of the genomic data
- Chapter 10. Metagenomics: the boon for microbial world knowledge and current challenges
- Chapter 11. Protein structure prediction
- Chapter 12. Structural and functional analysis of protein
- Chapter 13. Computational approaches in drug designing
- Chapter 14. Structure-based drug designing
- Chapter 15. Ligand-based drug designing
- Chapter 16. Discovery and optimization of lead molecules in drug designing
- Chapter 17. Pharmacophore modeling and its applications
- Chapter 18. Molecular docking and molecular dynamics simulation
- Chapter 19. Pharmacokinetics and pharmacodynamics analysis of drug candidates
- Chapter 20. Computational approaches for vaccine designing
- Chapter 21. Metabolomics and flux balance analysis
- Chapter 22. Topological parameters, patterns, and motifs in biological networks
- Chapter 23. Network biology and applications
- Chapter 24. Pathway modeling and simulation analysis
- Chapter 25. Systems biology and big data analytics
- Chapter 26. Machine learning in bioinformatics
- Chapter 27. Bioinformatics and biological data mining
- Index