A web-based tool for visual, statistical and exploratory analysis of resistome data

About

ResistoXplorer is a web-based, visual analytics tool to assist researchers to perform exploratory data analysis on abundance profiles and resistome signatures generated from AMR metagenomics studies. The key features of ResistoXplorer include:

  • Support for a wide array of common as well as advanced methods for composition profiling, visualization and exploratory data analysis;
  • Comprehensive support for various data normalization methods coupled with standard as well as more recent statistical and machine learning algorithms;
  • Support for a variety of methods for performing vertical data integrative analysis on paired metagenomic datasets (i.e. taxonomic and resistome abundance profiles);
  • Comprehensive support for ARG functional annotations along with their microbe and phenotype associations based on data collected from more than 10 reference and curated databases;
  • A powerful and fully featured network visualization for intuitive exploration of ARG-microbal host associations, incorporated with functional annotations enrichment analysis support.


Features

ARG-MICROBE NETWORK EXPLORATION
INTERACTIVE EXPLORATION
COMPREHENSIVE ANNOTATION SUPPORT
DIVERSE RESISTANCE DETERMINANTS
INTEGRATIVE ANALYSIS
SEVERAL GRAPHICAL & TABULAR OUTPUTS

News & Updates

  • Example dataset add in ARG Table module (2023‑09‑03);
  • Code refactoring and Bug fixing based on users data (2023‑04‑10);
  • Minor bug fixing and code updates (2023‑01‑20);
  • Bug fixing based on users data (2021‑11‑04);
  • Minor bug fixed and code refactoring based on users data (2021‑10‑04);
  • Server upgraded to 32 GB RAM to accommodate more users (2021‑08‑21);
  • Users bug fixing and minor code updates (2021‑07‑30);
  • R updated to newer version 4.1.0 (2021‑07‑29);
  • CARD database annotation in ARG Table module updated to latest version 3.1.3 (2021‑07‑20);
Read more ......

Please Cite

If you use ResistoXplorer for any published research, please include the following citation:
  • Achal Dhariwal, Roger Junges, Tsute Chen, Fernanda C Petersen, ResistoXplorer: a web-based tool for visual, statistical and exploratory data analysis of resistome data, NAR Genomics and Bioinformatics, Volume 3, Issue 1, March 2021, lqab018, https://doi.org/10.1093/nargab/lqab018

Acknowledgements

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