Bioinformatics and Computational Biology

Technological Advancements, Applications and Opportunities
Herausgeber: Singh, Tiratha Raj; Comar Junior, Moacyr; Saini, Hemraj

• Gebundenes Buch

Produktbeschreibung

Designed as a reference text. 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.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 358
• Erscheinungstermin: 13. Dezember 2023
• Englisch
• Abmessung: 234mm x 156mm x 22mm
• Gewicht: 703g
• ISBN-13: 9781032361581
• ISBN-10: 1032361581
• Artikelnr.: 68712237

Autorenporträt

Tiratha Raj Singh is a Professor of Bioinformatics in the department of Biotechnology and Bioinformatics, Jaypee University of Information Technology (JUIT), Waknaghat, Solan, H.P. His research interests are various domains of Bioinformatics/Computational Biology, Computational Genomics and Systems Biology. Hemraj Saini is currently works as a Professor in the Department of Computer Science & Engineering, DIET, Dehradun. Earlier he was an Associate Professor in Jaypee University of Information Technology, Waknaghat. His research areas include: Information Security, Cyber Security, Edge Computing and Cloud Computing. He has published more than 100 research papers in international and national journals and conferences. Moacyr Comar Junior is a professor at the Institute of Chemistry of the Federal University of Uberlândia. His research interests include theoretical and physico-chemistry of macromolecules and colloids. He has published numerous journal articles.

Inhaltsangabe

1. Design and analysis of algorithms. 2. Sequence-based algorithms in
Computational Biology. 3. Structure-based algorithms in Computational
Biology. 4. Exact heuristics and other algorithms in computational biology.
5. Cloud Based Monitoring of Bioinformatics Multivariate Data with Cloud
Platforms. 6. Machine learning and deep learning in Bioinformatics. 6.
Machine learning and deep learning in Bioinformatics Bioinformatics and
computational biology techniques. 7. Quantum Machine Learning for
Biological Applications. 8. Integrating Machine learning strategies with
multiomics to augment prognosis of chronic diseases. 9. Deep learning
piloted drug design: An advantageous alliance. 10. Drug Discovery by Deep
Learning and Virtual Screening: Review and Case Study. 11. Gene regulation,
DNA and RNA structure and sequencing. 12. Computational prediction of RNA
binding proteins: features and models.15.Tools and Techniques in Structural
Bioinformatics.16. Biotechnological, Industrial and Biopharmaceutical
Research. 16. A Streamline to New face of Drug Discovery by Protein-Protein
and Protein-Nucleic Acid Interactions. 17. From Proteins to Networks:
Assembly, Interpretation, and Advances. 18. Higher order organization in
biological systems: an introduction. 19. Advancement and applications of
biomedical engineering in human health care. 20. Clinical Trials in the
Realm of Health Informatics. 21. Application of genomics in Novel Microbial
species Identification. 22. Next Generation Sequencing Data Analysis. 23.
Computational Molecular Evolution: A Detailed View of Phylogenetic Methods.
24. Exploring Multifaceted Applications of Bioinformatics: An Overview. 25.
Industrial and Biopharmaceutical Research in Bioinformatics. 26.
Biotechnological, Agriculture, Industrial and Biopharmaceutical Research in
Bioinformatics.