Bioinformatics and Computational Biology Technological Advancements, Applications and Opportunities PDF

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.

Authors: Tiratha Raj Singh, Hemraj Saini, Moacyr Comar Junior