Bio-inspired optimization techniques in blockchain systems

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the...

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Weitere Verfasser: Umapathi, Vignesh 1989- (HerausgeberIn), Murugaiah, Manikandan 1987- (HerausgeberIn), Doshi, Ruchi (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey PA, USA IGI Global 2024
Schriftenreihe:Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
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Online-Zugang:DE-91
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Zusammenfassung:In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution.Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.
Beschreibung:1 Online-Ressource (xviii, 288 Seiten) Illustrationen
ISBN:9798369311325
DOI:10.4018/979-8-3693-1131-8