Evidence map›Paper›PMID 37850635›Full record

ArticleNucleic acids research2024

gcPathogen: a comprehensive genomic resource of human pathogens for public health.

Chongye Guo, Qi Chen, Guomei Fan, Yan Sun, Jingyi Nie, Zhihong Shen, Zhen Meng, Yuanchun Zhou, Shiwen Li, Shuai Wang and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. China CDC weekly · 2026
    Article
  5. Article
  6. Article
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  9. Article
  10. Article
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  12. Review
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  14. Article
  15. Article
  16. Article
  17. Article
  18. HPD-Kit: a comprehensive toolkit for pathogen detection and analysis.Frontiers in cellular and infection microbiology · 2025
    Article
  19. Article
  20. 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

13 authors.

Chongye GuoMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Qi ChenMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Guomei FanMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Yan SunMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Jingyi NieMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Zhihong ShenComputer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China.
Zhen MengComputer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China.
Yuanchun ZhouComputer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China.
Shiwen LiMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Shuai WangMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Juncai MaMicrobial 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.
Linhuan WuMicrobial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0002-5255-1846

Funding

14th Five-year Informatization Plan of Chinese Academy of Sciences WX145XQ07-01Chinese Academy of Sciences XDA19050301Key Research Program of the Chinese Academy of Sciences KFZD-SW-219National key Research Program of China 2021YFC2302000National Science Foundation for International Cooperation 82161148010
6 · The paper itself

Abstract

Here, we present the manually curated Global Catalogue of Pathogens (gcPathogen), an extensive genomic resource designed to facilitate rapid and accurate pathogen analysis, epidemiological exploration and monitoring of antibiotic resistance features and virulence factors. The catalogue seamlessly integrates and analyzes genomic data and associated metadata for human pathogens isolated from infected patients, animal hosts, food and the environment. The pathogen list is supported by evidence from medical or government pathogenic lists and publications. The current version of gcPathogen boasts an impressive collection of 1 164 974 assemblies comprising 986 044 strains from 497 bacterial taxa, 4794 assemblies encompassing 4319 strains from 265 fungal taxa, 89 965 assemblies featuring 13 687 strains from 222 viral taxa, and 646 assemblies including 387 strains from 159 parasitic taxa. Through this database, researchers gain access to a comprehensive 'one-stop shop' that facilitates global, long-term public health surveillance while enabling in-depth analysis of genomes, sequence types, antibiotic resistance genes, virulence factors and mobile genetic elements across different countries, diseases and hosts. To access and explore the data and statistics, an interactive web interface has been developed, which can be accessed at https://nmdc.cn/gcpathogen/. This user-friendly platform allows seamless querying and exploration of the extensive information housed within the gcPathogen database.

Indexed as

Databases, GeneticInfectionsPublic HealthAnimalsGenome, BacterialGenomicsHumansVirulence FactorsVirulence Factors

Identifiers

PMID37850635
PMCPMC10767814

What OpenQuestion holds

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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.