期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
A Personalized Digital Code from Unique Genome Fingerprinting Pattern for Use in Identification and Application on Blockchain
1
作者 Isaac Kise Lee 《Computational Molecular Bioscience》 CAS 2023年第1期1-20,共20页
With over 10 million points of genetic variation from person to person, every individual’s genome is unique and provides a highly reliable form of identification. This is because the genetic code is specific to each ... With over 10 million points of genetic variation from person to person, every individual’s genome is unique and provides a highly reliable form of identification. This is because the genetic code is specific to each individual and does not change over time. Genetic information has been used to identify individuals in a variety of contexts, such as criminal investigations, paternity tests, and medical research. In this study, each individual’s genetic makeup has been formatted to create a secure, unique code that incorporates various elements, such as species, gender, and the genetic identification code itself. The combinations of markers required for this code have been derived from common single nucleotide polymorphisms (SNPs), points of variation found in the human genome. The final output is in the form of a 24 numerical code with each number having three possible combinations. The custom code can then be utilized to create various modes of identification on the decentralized blockchain network as well as personalized services and products that offer users a novel way to uniquely identify themselves in ways that were not possible before. 展开更多
关键词 Genomic Fingerprint Digital Code SNP’s auxiliary Code Marker Selection Blockchain WEB3.0 Decentralized Identification (DID)
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部