Evidence map›Paper›PMID 40078665›Full record

ArticleBiosafety and health2024

A secure visualization platform for pathogenic genome analysis with an accurate reference database.

Guomei Fan, Chongye Guo, Qian Zhang, Dongmei Liu, Qinglan Sun, Zhigang Cui, Haijian Zhou, Yuanchun Zhou, Zhibin Guo, Juncai Ma and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosafety and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. China CDC weekly · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Guomei FanMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Chongye GuoMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Qian ZhangMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Dongmei LiuMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Qinglan SunMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Zhigang CuiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Haijian ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Yuanchun ZhouComputer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China.
Zhibin GuoComputer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China.
Juncai MaMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Linhuan WuMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Horizontal transferOne-stop analysis toolsPathogen surveillanceSecure computingSequence typing

Identifiers

PMID40078665
PMCPMC11894998

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.