The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.

These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!

Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures https://covid19.galaxyproject.org

Generic consensus building

This workflow generates consensus sequences using a list of variants generated by Variant Calling Workflow.

The workflow accepts a single input:

• A collection of VCF files

The workflow produces a single output:

• Consensus sequence for each input VCF file

The workflow can be accessed at usegalaxy.org

Generic variation analysis reporting

This workflow generates reports from a list of variants generated by Variant Calling Workflow.

The workflow accepts a single input:

• A collection of VCF files

The workflow produces two outputs (format description below):

1. A list of variants grouped by Sample
2. A list of variants grouped by Variant

Here is example of output by sample. In this table all varinats in all samples are epxlicitrly listed:

| Sample | ...

Generic variant calling

A generic workflow for identification of variants in a haploid genome such as genomes of bacteria or viruses. It can be readily used on MonkeyPox. The workflow accepts two inputs:

• A genbank file with the reference genomes
• A collection of paired fastqsanger files

The workflow outputs a collection of VCF files for each sample (each fastq pair). These VCF files serve as input to the Reporting workflow.

Workflow can be accessed ...