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: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey PA, USA
IGI Global
2024
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Schriftenreihe: | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
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Schlagworte: | |
Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
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 |
Internformat
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discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.4018/979-8-3693-1131-8 |
format | Electronic eBook |
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id | DE-604.BV049587073 |
illustrated | Illustrated |
index_date | 2024-07-03T23:32:49Z |
indexdate | 2024-12-17T19:01:34Z |
institution | BVB |
isbn | 9798369311325 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034931848 |
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physical | 1 Online-Ressource (xviii, 288 Seiten) Illustrationen |
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publisher | IGI Global |
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series2 | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series |
spelling | Bio-inspired optimization techniques in blockchain systems U. Vignesh, Manikandan M., Ruchi Doshi Hershey PA, USA IGI Global 2024 1 Online-Ressource (xviii, 288 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series 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. Blockchains (Databases) Industrial applications Data mining Umapathi, Vignesh 1989- (DE-588)1305424182 edt Murugaiah, Manikandan 1987- edt Doshi, Ruchi (DE-588)1232422584 edt Erscheint auch als Druck-Ausgabe, Hardcover 979-8-3693-1131-8 https://doi.org/10.4018/979-8-3693-1131-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Bio-inspired optimization techniques in blockchain systems Blockchains (Databases) Industrial applications Data mining |
title | Bio-inspired optimization techniques in blockchain systems |
title_auth | Bio-inspired optimization techniques in blockchain systems |
title_exact_search | Bio-inspired optimization techniques in blockchain systems |
title_exact_search_txtP | Bio-inspired optimization techniques in blockchain systems |
title_full | Bio-inspired optimization techniques in blockchain systems U. Vignesh, Manikandan M., Ruchi Doshi |
title_fullStr | Bio-inspired optimization techniques in blockchain systems U. Vignesh, Manikandan M., Ruchi Doshi |
title_full_unstemmed | Bio-inspired optimization techniques in blockchain systems U. Vignesh, Manikandan M., Ruchi Doshi |
title_short | Bio-inspired optimization techniques in blockchain systems |
title_sort | bio inspired optimization techniques in blockchain systems |
topic | Blockchains (Databases) Industrial applications Data mining |
topic_facet | Blockchains (Databases) Industrial applications Data mining |
url | https://doi.org/10.4018/979-8-3693-1131-8 |
work_keys_str_mv | AT umapathivignesh bioinspiredoptimizationtechniquesinblockchainsystems AT murugaiahmanikandan bioinspiredoptimizationtechniquesinblockchainsystems AT doshiruchi bioinspiredoptimizationtechniquesinblockchainsystems |