Nanopore datasets analysis - Phylogenetic Identification - antibiotic resistance genes detection and contigs building

Associated Tutorial

This workflows is part of the tutorial Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition, available in the GTN

Features

• Includes ...

Microbiome - QC and Contamination Filtering

Associated Tutorial

This workflows is part of the tutorial Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition, available in the GTN

Features

• Includes Galaxy Workflow Tests ...

Pathogens of all samples report generation and visualization

Associated Tutorial

This workflows is part of the tutorial Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition, available in the GTN

Features

• Includes a [Galaxy Workflow ...

Microbiome - Taxonomy Profiling

Associated Tutorial

This workflows is part of the tutorial Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition, available in the GTN

Features

• Includes Galaxy Workflow Tests ...

Microbiome - Variant calling and Consensus Building

Associated Tutorial

This workflows is part of the tutorial Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition, available in the GTN

Features

• Includes Galaxy Workflow Tests ...

The aim of this workflow is to handle the routine part of shotgun metagenomics data processing. The workflow is using the tools Kraken2 and Bracken for taxonomy classification and the KrakenTools to evaluate diversity metrics. This workflow was tested on Galaxy Australia. A How-to guide for the workflow can be found at: https://github.com/vmurigneu/kraken_howto_ga_workflows/blob/main/pages/taxonomy_kraken2_wf_guide.md