Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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

Achal Dhariwal, Roger Junges, Tsute Chen, Fernanda Cristina Petersen
doi: https://doi.org/10.1101/2020.08.14.250837
Achal Dhariwal
1Institute of Oral Biology, Faculty of Dentistry, University of Oslo, Oslo, Norway
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Roger Junges
1Institute of Oral Biology, Faculty of Dentistry, University of Oslo, Oslo, Norway
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tsute Chen
2Department of Microbiology, The Forsyth Institute, Cambridge, MA, USA
3Department of Oral Medicine, Infection, and Immunology, Harvard School of Dental Medicine, Boston, MA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fernanda Cristina Petersen
1Institute of Oral Biology, Faculty of Dentistry, University of Oslo, Oslo, Norway
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: f.c.petersen@odont.uio.no
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

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.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted January 03, 2021.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
ResistoXplorer: a web-based tool for visual, statistical and exploratory data analysis of resistome data
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
ResistoXplorer: a web-based tool for visual, statistical and exploratory data analysis of resistome data
Achal Dhariwal, Roger Junges, Tsute Chen, Fernanda Cristina Petersen
bioRxiv 2020.08.14.250837; doi: https://doi.org/10.1101/2020.08.14.250837
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
ResistoXplorer: a web-based tool for visual, statistical and exploratory data analysis of resistome data
Achal Dhariwal, Roger Junges, Tsute Chen, Fernanda Cristina Petersen
bioRxiv 2020.08.14.250837; doi: https://doi.org/10.1101/2020.08.14.250837

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Microbiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4864)
  • Biochemistry (10821)
  • Bioengineering (8061)
  • Bioinformatics (27369)
  • Biophysics (14014)
  • Cancer Biology (11157)
  • Cell Biology (16094)
  • Clinical Trials (138)
  • Developmental Biology (8806)
  • Ecology (13322)
  • Epidemiology (2067)
  • Evolutionary Biology (17389)
  • Genetics (11704)
  • Genomics (15957)
  • Immunology (11057)
  • Microbiology (26148)
  • Molecular Biology (10674)
  • Neuroscience (56714)
  • Paleontology (422)
  • Pathology (1737)
  • Pharmacology and Toxicology (3012)
  • Physiology (4566)
  • Plant Biology (9662)
  • Scientific Communication and Education (1617)
  • Synthetic Biology (2697)
  • Systems Biology (6993)
  • Zoology (1513)