A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends

In biological science, the study of DNA sequences is considered an important factor because it carries the genomic details that can be used by researchers and doctors for the early prediction of disease using DNA classification. The NCBI has the world's largest database of genetic sequences, bu...

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Detalles Bibliográficos
Autores principales: Mathur, Garima, Pandey, Anjana, Goyal, Sachin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209554/
https://www.ncbi.nlm.nih.gov/pubmed/37362738
http://dx.doi.org/10.1007/s11042-023-15857-1
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author Mathur, Garima
Pandey, Anjana
Goyal, Sachin
author_facet Mathur, Garima
Pandey, Anjana
Goyal, Sachin
author_sort Mathur, Garima
collection PubMed
description In biological science, the study of DNA sequences is considered an important factor because it carries the genomic details that can be used by researchers and doctors for the early prediction of disease using DNA classification. The NCBI has the world's largest database of genetic sequences, but the security of this massive amount of data is currently the greatest issue. One of the options is to encrypt these genetic sequences using blockchain technology. As a result, this paper presents a survey on healthcare data breaches, the necessity for blockchain in healthcare, and the number of research studies done in this area. In addition, the report suggests DNA sequence classification for earlier disease identification and evaluates previous work in the field.
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spelling pubmed-102095542023-05-26 A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends Mathur, Garima Pandey, Anjana Goyal, Sachin Multimed Tools Appl Article In biological science, the study of DNA sequences is considered an important factor because it carries the genomic details that can be used by researchers and doctors for the early prediction of disease using DNA classification. The NCBI has the world's largest database of genetic sequences, but the security of this massive amount of data is currently the greatest issue. One of the options is to encrypt these genetic sequences using blockchain technology. As a result, this paper presents a survey on healthcare data breaches, the necessity for blockchain in healthcare, and the number of research studies done in this area. In addition, the report suggests DNA sequence classification for earlier disease identification and evaluates previous work in the field. Springer US 2023-05-25 /pmc/articles/PMC10209554/ /pubmed/37362738 http://dx.doi.org/10.1007/s11042-023-15857-1 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Mathur, Garima
Pandey, Anjana
Goyal, Sachin
A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends
title A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends
title_full A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends
title_fullStr A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends
title_full_unstemmed A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends
title_short A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends
title_sort review on blockchain for dna sequence: security issues, application in dna classification, challenges and future trends
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209554/
https://www.ncbi.nlm.nih.gov/pubmed/37362738
http://dx.doi.org/10.1007/s11042-023-15857-1
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