ECTyper

ECTyper predicts serotypes and performs species-level identification for Escherichia coli and Shigella from whole-genome sequencing (WGS) data.


Key Features:

  • In silico serotype prediction: Predicts O-antigen and H-antigen serotypes from whole-genome sequencing (WGS) data.
  • Speciation: Distinguishes Escherichia coli and Shigella at the species level.
  • Input formats: Accepts fasta and fastq file formats.
  • Quality control reporting: Provides quality control information for input sequence data.
  • Result output: Generates interpretable serotype and speciation results.
  • Benchmarking and concordance: Evaluated against SRST2, SerotypeFinder, and EToKi EBEis; on 185 newly sequenced isolates concordance was 92–97% for O-antigens and 98–100% for H-antigens, and on 6,954 publicly available E. coli genomes concordance was 75–91% for O-antigens and 62–90% for H-antigens.

Scientific Applications:

  • Surveillance and outbreak detection: Provides serotype and speciation data used in detection and investigation of Escherichia coli outbreaks.
  • Public health and food safety: Supports pathogen characterization in public health and food safety laboratory contexts.
  • Method validation and comparison: Enables comparative benchmarking of WGS-based serotyping methods.

Methodology:

Performs in silico serotype prediction from whole-genome sequencing (WGS) data.

Topics

Details

License:
Apache-2.0
Cost:
Free of charge
Tool Type:
command-line tool, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
6/7/2022
Last Updated:
11/5/2024

Operations

Publications

Bessonov K, Laing C, Robertson J, Yong I, Ziebell K, Gannon VPJ, Nichani A, Arya G, Nash JHE, Christianson S. ECTyper: in silico Escherichia coli serotype and species prediction from raw and assembled whole-genome sequence data. Microbial Genomics. 2021;7(12). doi:10.1099/mgen.0.000728. PMID:34860150. PMCID:PMC8767331.

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