Evidence map›Paper›PMID 33010178›Full record

ArticleNucleic acids research2021

BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking.

Ye Feng, Shengmei Zou, Hangfei Chen, Yunsong Yu, Zhi Ruan

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing 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

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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

122 citing papers in PubMed.

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  10. Genomic Characteristics of a Carbapenem-ResistantInfection and drug resistance · 2026
    Article
  11. Emergence of multidrug-resistant ST876 serotype 14Frontiers in cellular and infection microbiology · 2026
    Article
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  14. Review
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62 more citing papers are in PubMed but not listed here.

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

5 authors.

Ye FengSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Shengmei ZouInstitute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310029, China.
Hangfei ChenSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Yunsong YuSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Zhi RuanSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing prevalence of hospital acquired infections and foodborne illnesses caused by pathogenic and multidrug-resistant bacteria has stimulated a pressing need for benchtop computational techniques to rapidly and accurately classify bacteria from genomic sequence data, and based on that, to trace the source of infection. BacWGSTdb (http://bacdb.org/BacWGSTdb) is a free publicly accessible database we have developed for bacterial whole-genome sequence typing and source tracking. This database incorporates extensive resources for bacterial genome sequencing data and the corresponding metadata, combined with specialized bioinformatics tools that enable the systematic characterization of the bacterial isolates recovered from infections. Here, we present BacWGSTdb 2.0, which encompasses several major updates, including (i) the integration of the core genome multi-locus sequence typing (cgMLST) approach, which is highly scalable and appropriate for typing isolates belonging to different lineages; (ii) the addition of a multiple genome analysis module that can process dozens of user uploaded sequences in a batch mode; (iii) a new source tracking module for comparing user uploaded plasmid sequences to those deposited in the public databases; (iv) the number of species encompassed in BacWGSTdb 2.0 has increased from 9 to 20, which represents bacterial pathogens of medical importance; (v) a newly designed, user-friendly interface and a set of visualization tools for providing a convenient platform for users are also included. Overall, the updated BacWGSTdb 2.0 bears great utility in continuing to provide users, including epidemiologists, clinicians and bench scientists, with a one-stop solution to bacterial genome sequence analysis.

Indexed as

Databases, GeneticMultilocus Sequence TypingWhole Genome SequencingBacteriaGenome, BacterialInternetUser-Computer Interface

Identifiers

PMID33010178
PMCPMC7778894

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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.