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

Garima MathurAnjana PandeySachin Goyal
Published in: Multimedia tools and applications (2023)
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.
Keyphrases
  • circulating tumor
  • healthcare
  • cell free
  • single molecule
  • machine learning
  • deep learning
  • copy number
  • nucleic acid
  • big data
  • genome wide
  • circulating tumor cells
  • electronic health record
  • global health
  • health information