Bioinformatics and Computational Biology
Technological Advancements, Applications and Opportunities
1st Edition
Published on 30. July 2025
Book
Paperback/Softback
358 pages
978-1-032-36303-5 (ISBN)
Description
Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions.
The book offers comprehensive coverage of the most essential and emerging topics:
Cloud-based monitoring of bioinformatics multivariate data with cloud platforms
Machine learning and deep learning in bioinformatics
Quantum machine learning for biological applications
Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases
Biomedical engineering
Next generation sequencing techniques and applications
Computational systems biology and molecular evolution
While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.
The book offers comprehensive coverage of the most essential and emerging topics:
Cloud-based monitoring of bioinformatics multivariate data with cloud platforms
Machine learning and deep learning in bioinformatics
Quantum machine learning for biological applications
Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases
Biomedical engineering
Next generation sequencing techniques and applications
Computational systems biology and molecular evolution
While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate and Undergraduate Advanced
Illustrations
39 s/w Abbildungen, 39 s/w Zeichnungen, 18 s/w Tabellen
18 Tables, black and white; 39 Line drawings, black and white; 39 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 20 mm
Weight
573 gr
ISBN-13
978-1-032-36303-5 (9781032363035)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Tiratha Raj Singh | Hemraj Saini | Moacyr Comar Junior
Bioinformatics and Computational Biology
Technological Advancements, Applications and Opportunities
E-Book
12/2023
1st Edition
Taylor & Francis
€111.99
Available for download
Tiratha Raj Singh | Hemraj Saini | Moacyr Comar Junior
Bioinformatics and Computational Biology
Technological Advancements, Applications and Opportunities
Book
12/2023
1st Edition
Chapman & Hall/CRC
€187.10
Shipment within 10-20 days
Tiratha Raj Singh | Hemraj Saini | Moacyr Comar Junior
Bioinformatics and Computational Biology
Technological Advancements, Applications and Opportunities
E-Book
12/2023
1st Edition
Taylor & Francis
€111.99
Available for download
Persons
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 Uberlandia. His research interests include theoretical and physico-chemistry of macromolecules and colloids. He has published numerous journal articles.
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 Uberlandia. His research interests include theoretical and physico-chemistry of macromolecules and colloids. He has published numerous journal articles.
Content
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.