Evidence map›Paper›PMID 33796850›Full record

ArticleNAR genomics and bioinformatics2021

ResistoXplorer: a web-based tool for visual, statistical and exploratory data analysis of resistome data.

Achal Dhariwal, Roger Junges, Tsute Chen, Fernanda C Petersen

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Characterizing the resistome ofFrontiers in microbiology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Antibiotic Resistance Genes in Aerosols: Baseline from Kuwait.International journal of molecular sciences · 2023
    Article
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  12. Article
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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

4 authors at 2 institutions in 2 countries.

Achal DhariwalInstitute of Oral Biology, Faculty of Dentistry, University of Oslo, 0372 Oslo, Norway.
Roger JungesInstitute of Oral Biology, Faculty of Dentistry, University of Oslo, 0372 Oslo, Norway.ORCID https://orcid.org/0000-0002-5538-1088
Tsute ChenDepartment of Microbiology, The Forsyth Institute, 02142 Cambridge, MA, USA.
Fernanda C PetersenInstitute of Oral Biology, Faculty of Dentistry, University of Oslo, 0372 Oslo, Norway.ORCID https://orcid.org/0000-0002-0882-9724
University of Oslo · NOHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of resistomes using whole metagenomic sequencing enables high-throughput identification of resistance genes in complex microbial communities, such as the human microbiome. Over recent years, sophisticated and diverse pipelines have been established to facilitate raw data processing and annotation. Despite the progress, there are no easy-to-use tools for comprehensive visual, statistical and functional analysis of resistome data. Thus, exploration of the resulting large complex datasets remains a key bottleneck requiring robust computational resources and technical expertise, which creates a significant hurdle for advancements in the field. Here, we introduce ResistoXplorer, a user-friendly tool that integrates recent advancements in statistics and visualization, coupled with extensive functional annotations and phenotype collection, to enable high-throughput analysis of common outputs generated from metagenomic resistome studies. ResistoXplorer contains three modules-the 'Antimicrobial Resistance Gene Table' module offers various options for composition profiling, functional profiling and comparative analysis of resistome data; the 'Integration' module supports integrative exploratory analysis of resistome and microbiome abundance profiles derived from metagenomic samples; finally, the 'Antimicrobial Resistance Gene List' module enables users to intuitively explore the associations between antimicrobial resistance genes and the microbial hosts using network visual analytics to gain biological insights. ResistoXplorer is publicly available at http://www.resistoxplorer.no.

Identifiers

PMID33796850
PMCPMC7991225
OpenAlexW3141131467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.