A secure visualization platform for pathogenic genome analysis with an accurate reference database
| Autor: | Guomei Fan, Chongye Guo, Qian Zhang, Dongmei Liu, Qinglan Sun, Zhigang Cui, Haijian Zhou, Yuanchun Zhou, Zhibin Guo, Juncai Ma, Linhuan Wu |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Biosafety and Health, Vol 6, Iss 4, Pp 235-243 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2590-0536 85533599 |
| DOI: | 10.1016/j.bsheal.2024.07.003 |
| Popis: | Investigating the genetic and developmental characteristics, infection transmission attributes, and epidemiological trends of pathogens using genomic data represents the foundation for pathogen surveillance and is a crucial prerequisite for guaranteeing global health security. To meet the analytical demands of research relating to pathogen prevention and control, we designed a secure visualization system capable of pathogen genome assembly, annotation, species identification, sequence typing, antibiotic resistance and virulence analysis, genomic mobile element and transferable resistance gene annotation, and phylogenetic tree reconstruction. For highly pathogenic organisms requiring complete data protection, we have developed a secure computing tool that utilizes a trusted execution environment, is combined with blockchain and privacy computing technologies, and is specifically designed for nucleotide basic local alignment search tool (BLASTn) comparison analysis. This technological advancement offers scientific support for in-depth investigations into pathogen transmission and epidemiological mechanisms, environmental adaptability, evolutionary trends, and immune evasion mechanisms, as well as the identification of new or emerging pathogen strains. This, in turn, aids efforts in infectious disease prevention, treatment, and research. |
| Databáze: | Directory of Open Access Journals |
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