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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