Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities

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.