In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge has emerged, begging for an ingenious solution. The exchange and analysis of biological data faces an enduring dilemma: the struggle for data integrity and ownership. The existing conventional methods, while proficient in some domains, fall short when it comes to ensuring the seamless transfer of intricate genomic data. This impasse, though daunting, is now met with a groundbreaking solution that fuses the powers of blockchain innovation and optimization algorithms.

Bio-Inspired Optimization Techniques in Blockchain System, is a meticulously curated book designed to confront the heart of an issue which has stymied researchers and academicians alike, which is data integrity and ownership in the bioinformatics and blockchain technology fields. Despite the intricacies of genomic data, researchers have found an unexpected solution in blockchain technology. However, the implementation of this solution is hindered by the colossal scale of data, sluggish transaction speeds, and querying constraints. These obstacles, though formidable, are addressed with precision through the lens of optimization algorithms.

This seminal work doesn't just offer a solution; it ushers in a paradigm shift. The editors' expertise in bioinformatics, blockchain, machine learning, and optimization techniques culminates in a comprehensive guide that dissects the fusion of blockchain's architecture and biological data intricacies. The book provides a blueprint for harnessing blockchain's potential to store genomic variants and reference-aligned reads through innovative database indexing methods. By elegantly combining theory with practice, Bio-Inspired Optimization Techniques in Blockchain System empowers technology developers, data scientists, academics, and researchers to surmount the technological hurdles that have long impeded progress. It's a transformative voyage into a future where data integrity and analysis find a harmonious convergence, redefining the boundaries of bioinformatics and beyond.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence
Bioinformatics
Blockchain Applications
Cognitive Science
Data Mining
Deep Learning
Genomics
Healthcare Data
Internet of Things (IoT)
Machine Learning
Optimization Techniques
Pattern Recognition
Protein Prediction
RNA-Seq Analysis
Text Mining

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Editor/Author Biographies

U. Vignesh is currently an Assistant Professor Senior Grade 2 in School of Computer Science and Engineering, Vellore Institute of Technology (VIT) - Chennai. Prior to his recent appointment at the VIT, he was a Post-Doctoral Fellow in National Institute of Technology (NIT), Trichy – India. Dr. Vignesh received his undergraduate degree in B.Tech (IT) as well as his M.Tech (IT) degree from Anna University - Chennai, and his PhD in Computer Science and Engineering from VIT University - Chennai. Dr. Vignesh published several papers in preferred Journals, patents and chapters in books, and participated in a range of forums on computer science, social science, etc. He also presented various academic as well as research-based papers at several national and international conferences. His research activities are currently twofold: while the first research activity is set to explore the developmental role that society needs with technology such as, Artificial Intelligence; the second major research theme that he is pursuing is focused on the bioinformatics and data mining.

Dr. Ruchi Doshi has more than 16 years of academic, research and software development experience in Asia, Europe, and Africa. Currently she is working as Research Supervisor and Professor at the Azteca University, Mexico and Adjunct Professor at the Jyoti Vidyapeeth Women’s University, Rajasthan, India. She worked at the BlueCrest University College, Liberia, Africa; BlueCrest University College, Ghana, Africa; Amity University, India; Trimax IT Infrastructure & Services, India. She is interested in the field of Machine Learning and Cloud computing framework development. She has published research papers in peer-reviewed international journals and conferences; 3 Indian Patents; 5 books on Cloud Computing, Machine Learning, Mobile Cloud Computing, Intelligent IoT Systems for Big Data Analysis and Mobile Application Development. She is Reviewer, Advisor, Ambassador and Editorial board member of various reputed International Journals and Conferences with IEEE, Springer, and Elsevier. She is an active member in organizing many international seminars, workshops, and conferences. She is nominated from by IEEE Headquarter, USA for the Chair, Women in Engineering (WIE) position in Liberia, West Africa. She worked as a Founder Chair, Women in Engineering (WIE) in the IEEE Liberia Subsection. She worked with Ministry of Higher Education (MoHE) in Liberia and Ghana for the Degree approvals and accreditations processes. She has published numerous research papers in peer-reviewed international journals and conferences. She is a Reviewer, Advisor, Ambassador and Editorial board member of various reputed International Journals and Conferences. Google Scholar: https://scholar.google.com/citations?user=lYhmZdEAAAAJ&hl=hi

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