Evidence map›Paper›PMID 37641717›Full record

ArticleBioinformatics advances2023

PhaBOX: a web server for identifying and characterizing phage contigs in metagenomic data.

Jiayu Shang, Cheng Peng, Herui Liao, Xubo Tang, Yanni Sun

Abstract read
In one paragraph

Article in Bioinformatics advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 3 pooled it
–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

89 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Characterization ofMicrobiology spectrum · 2026
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  15. Genome sequence ofMicrobiology resource announcements · 2026
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29 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.

Jiayu ShangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China.ORCID https://orcid.org/0000-0001-5974-4985
Cheng PengDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China.
Herui LiaoDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China.ORCID https://orcid.org/0000-0001-8871-3483
Xubo TangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China.ORCID https://orcid.org/0000-0003-1304-6983
Yanni SunDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China.ORCID https://orcid.org/0000-0003-1373-8023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: There is accumulating evidence showing the important roles of bacteriophages (phages) in regulating the structure and functions of the microbiome. However, lacking an easy-to-use and integrated phage analysis software hampers microbiome-related research from incorporating phages in the analysis. Results: In this work, we developed a web server, PhaBOX, which can comprehensively identify and analyze phage contigs in metagenomic data. It supports integrated phage analysis, including phage contig identification from the metagenomic assembly, lifestyle prediction, taxonomic classification, and host prediction. Instead of treating the algorithms as a black box, PhaBOX also supports visualization of the essential features for making predictions. The web server is designed with a user-friendly graphical interface that enables both informatics-trained and nonspecialist users to analyze phages in microbiome data with ease. Availability and implementation: The web server of PhaBOX is available via: https://phage.ee.cityu.edu.hk. The source code of PhaBOX is available at: https://github.com/KennthShang/PhaBOX.

Identifiers

PMID37641717
PMCPMC10460485

What OpenQuestion holds

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Registered trials

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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.