Advances in Bioinformatics
- Length: 460 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2021-08-02
- ISBN-10: 9813361905
- ISBN-13: 9789813361904
- Sales Rank: #0 (See Top 100 Books)
This book presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis, computational vaccine, and drug design. Covering cheminformatics, computational evolutionary biology and the role of next-generation sequencing and neural network analysis, it also discusses the use of bioinformatics tools in the development of precision medicine. This book offers a valuable source of information for not only beginners in bioinformatics, but also for students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in many areas.
Cover Front Matter 1. An Introduction and Applications of Bioinformatics 2. Bioinformatics Tools and Software 3. Role of Bioinformatics in Biological Sciences 4. Protein Analysis: From Sequence to Structure 5. Computational Evolutionary Biology 6. Web-Based Bioinformatics Approach Towards Analysis of Regulatory Sequences 7. An Overview of Bioinformatics Resources for SNP Analysis 8. Vaccine Design and Immunoinformatics 9. Computer-Aided Drug Designing 10. Chemoinformatics and QSAR 11. Computational Genomics 12. A Guide to RNAseq Data Analysis Using Bioinformatics Approaches 13. Computational Metabolomics 14. Next Generation Sequencing 15. Bioinformatics in Personalized Medicine 16. Bioinformatics Tools for Gene and Genome Annotation Analysis of Microbes for Synthetic Biology and Cancer Biology Applications 17. Bioinformatics for Human Microbiome 18. Neural Network Analysis 19. Role of Bioinformatics in MicroRNA Analysis 20. Bioinformatics for Image Processing 21. Artificial Intelligence in Bioinformatics 22. Big Data Analysis in Bioinformatics 23. Soft Computing in Bioinformatics
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