Evidence map›Paper›PMID 39895075›Full record

ArticleJournal of microbiology (Seoul, Korea)2025

PneusPage: A WEB-BASED TOOL for the analysis of Whole-Genome Sequencing Data of Streptococcus pneumonia.

Eunju Hong, Youngjin Shin, Hyunseong Kim, Woo Young Cho, Woo-Hyun Song, Seung-Hyun Jung, Minho Lee

Abstract read
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2025. 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. 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

7 authors.

Eunju HongDepartment of Life Science, Dongguk University-Seoul, Goyang 10326, Republic of Korea.
Youngjin ShinBasic Medical Science Facilitation Program, Catholic Medical Center, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Hyunseong KimDepartment of Life Science, Dongguk University-Seoul, Goyang 10326, Republic of Korea.
Woo Young ChoConnectaGen, Hanam 12918, Republic of Korea.
Woo-Hyun SongDepartment of Life Science, Dongguk University-Seoul, Goyang 10326, Republic of Korea.
Seung-Hyun JungDepartment of Biochemistry, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Minho LeeDepartment of Life Science, Dongguk University-Seoul, Goyang 10326, Republic of Korea.

Funding

Korea Health Industry Development InstituteKorea Research Environment Open NETworkMinistry of Health and Welfare HI22C0117Ministry of Science and ICTNational Research Foundation of Korea 2022R1A2C2093050
6 · The paper itself

Abstract

With the advent of whole-genome sequencing, opportunities to investigate the population structure, transmission patterns, antimicrobial resistance profiles, and virulence determinants of Streptococcus pneumoniae at high resolution have been increasingly expanding. Consequently, a user-friendly bioinformatics tool is needed to automate the analysis of Streptococcus pneumoniae whole-genome sequencing data, summarize clinically relevant genomic features, and further guide treatment options. Here, we developed PneusPage, a web-based tool that integrates functions for species prediction, molecular typing, drug resistance determination, and data visualization of Streptococcus pneumoniae. To evaluate the performance of PneusPage, we analyzed 80 pneumococcal genomes with different serotypes from the Global Pneumococcal Sequencing Project and compared the results with those from another platform, PathogenWatch. We observed a high concordance between the two platforms in terms of serotypes (100% concordance rate), multilocus sequence typing (100% concordance rate), penicillin-binding protein typing (88.8% concordance rate), and the Global Pneumococcal Sequencing Clusters (98.8% concordance rate). In addition, PneusPage offers integrated analysis functions for the detection of virulence and mobile genetic elements that are not provided by previous platforms. By automating the analysis pipeline, PneusPage makes whole-genome sequencing data more accessible to non-specialist users, including microbiologists, epidemiologists, and clinicians, thereby enhancing the utility of whole-genome sequencing in both research and clinical settings. PneusPage is available at https://pneuspage.minholee.net/.

Indexed as

Computational BiologyGenome, BacterialSoftwareStreptococcus pneumoniaeWhole Genome SequencingDrug Resistance, BacterialHumansInternetMultilocus Sequence TypingPneumococcal InfectionsSerogroupVirulenceantimicrobial resistancemobile genetic elementStreptococcus pneumoniaevirulence factorwhole-genome sequencing

Identifiers

PMID39895075
PMCPMC13577088

What OpenQuestion holds

Textmetadata
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.