Big Data Analytics in Chemoinformatics and Bioinformatics: Applications and Future Directions

Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology, authored by Subhash C. Basak, offers a comprehensive overview of the latest trends and applications in big data analytics across various fields. This book serves as a valuable resource for researchers, providing them with the tools necessary to navigate and solve complex big data problems in their respective fields.

General Topics and Applications

The book commences with a section dedicated to general topics, offering insights that are universally applicable and beneficial for all readers. It then delves into specific sections, each focusing on a distinct interdisciplinary application of big data analytics.

Expert Contributions and Case Studies

A team of international experts in their respective fields have contributed to this book, sharing their latest research findings and experiences. Case studies are employed throughout the book to illustrate key concepts and provide practical examples of how big data analytics can be applied in real-world scenarios.

Coverage of Key Aspects of Big Data

This book covers a wide range of critical aspects related to big data, including:

• Deep learning and fuzzy logic in data analysis
• Transparency and data protection in big data environments
• Disparate data analytics and its challenges
• Scalability of big data domains and its implications

Applications in Chemistry, Bioinformatics, and Beyond

Big Data Analytics in Chemoinformatics and Bioinformatics explores numerous applications of big data analytics in diverse fields, such as:

• Chemistry and chemoinformatics
• Bioinformatics and computational biology
• Computer-assisted drug and vaccine design
• Characterization of emerging pathogens and infectious diseases
• Environmental protection and sustainability

Benefits of Big Data Analytics

This book highlights the substantial benefits that big data analytics can offer to various scientific fields, biomedical research, and industrial applications. By leveraging big data analytics, researchers and professionals can uncover new insights, improve decision-making processes, and drive innovation in their respective domains.

Big Data Analytics in Chemoinformatics and Bioinformatics is an indispensable resource for anyone seeking to understand the current state and future directions of big data analytics in these fields.