e-learning
Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition
Abstract
Food contamination with pathogens is a major burden on our society. In the year 2019, foodborne pathogens caused 137 hospitalisations in Germany (BVL 2019). Globally, they affect an estimated 600 million people a year and impact socioeconomic development at different levels. These outbreaks are mainly due to Salmonella spp. followed by Campylobacter spp. and Noroviruses, as studied by the Food safety - World Health Organization (WHO).
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- What are the preprocessing steps to prepare ONT sequencing data for further analysis?
- How to identify pathogens using sequencing data?
- How to track the found pathogens through all your samples datasets?
Learning Objectives
- Check quality reports generated by FastQC and NanoPlot for metagenomics Nanopore data
- Preprocess the sequencing data to remove adapters, poor quality base content and host/contaminating reads
- Perform taxonomy profiling indicating and visualizing up to species level in the samples
- Identify pathogens based on the found virulence factor gene products via assembly, identify strains and indicate all antimicrobial resistance genes in samples
- Identify pathogens via SNP calling and build the consensus gemone of the samples
- Relate all samples' pathogenic genes for tracking pathogens via phylogenetic trees and heatmaps
Licence: Creative Commons Attribution 4.0 International
Keywords: Heatmap, Microbiome, Nanopore data analysis, Pathogens detection, Phylogenetic tree, cyoa, microgalaxy
Target audience: Students
Resource type: e-learning
Version: 11
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Check quality reports generated by FastQC and NanoPlot for metagenomics Nanopore data
- Preprocess the sequencing data to remove adapters, poor quality base content and host/contaminating reads
- Perform taxonomy profiling indicating and visualizing up to species level in the samples
- Identify pathogens based on the found virulence factor gene products via assembly, identify strains and indicate all antimicrobial resistance genes in samples
- Identify pathogens via SNP calling and build the consensus gemone of the samples
- Relate all samples' pathogenic genes for tracking pathogens via phylogenetic trees and heatmaps
Date modified: 2024-09-27
Date published: 2023-01-26
Contributors: Hans-Rudolf Hotz, Wolfgang Maier
Scientific topics: Metagenomics, Microbial ecology, Public health and epidemiology, Taxonomy, Sequence assembly, Pathology, Sequence analysis
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