workflow-denovo-stacks

These workflows are part of a set designed to work for RAD-seq data on the Galaxy platform, using the tools from the Stacks program.

Galaxy Australia: https://usegalaxy.org.au/

Stacks: http://catchenlab.life.illinois.edu/stacks/

Inputs

• demultiplexed reads in fastq format, may be output from the QC workflow. Files are in a collection.
• population map in text format

Steps and outputs

ustacks:

• input reads go to ustacks.
• ustacks assembles the reads into matching ...

workflow-ref-guided-stacks

These workflows are part of a set designed to work for RAD-seq data on the Galaxy platform, using the tools from the Stacks program.

Galaxy Australia: https://usegalaxy.org.au/

Stacks: http://catchenlab.life.illinois.edu/stacks/

Inputs

• demultiplexed reads in fastq format, may be output from the QC workflow. Files are in a collection.
• population map in text format
• reference genome in fasta format

Steps and outputs

BWA MEM 2:

• The reads are mapped to the ...

workflow-qc-of-radseq-reads

These workflows are part of a set designed to work for RAD-seq data on the Galaxy platform, using the tools from the Stacks program.

Galaxy Australia: https://usegalaxy.org.au/

Stacks: http://catchenlab.life.illinois.edu/stacks/

Inputs

• demultiplexed reads in fastq format, in a collection
• two adapter sequences in fasta format, for input into cutadapt

Steps and outputs

The workflow can be modified to suit your own parameters.

The workflow steps are:

• Run ...

GermlineShortV_biovalidation

• Description
• Diagram
• User guide
• Quick start guide
• Benchmarking
• Workflow summaries
• Metadata
• Component tools
• Required (minimum) inputs/parameters Preparing your own input files
• Additional notes
• [Understanding your ...

Shotgun Metagenomics Analysis

Analysis of metagenomic shotgun sequences including assembly, speciation, ARG discovery and more

Description

The input for this analysis is paired end next generation sequencing data from metagenomic samples. The workflow is designed to be modular, so that individual modules can be run depending on the nature of the metagenomics project at hand. More modules will be added as we develop them - this repo is a work in progress!

These scripts have been written ...

This is a genomics pipeline to do a single germline sample variant-calling, adapted from GATK Best Practice Workflow.

This workflow is a reference pipeline for using the Janis Python framework (pipelines assistant).

• Alignment: bwa-mem
• Variant-Calling: GATK HaplotypeCaller
• Outputs the final variants in the VCF format.

Resources

This pipeline has been tested using the HG38 reference set, available on Google Cloud Storage through:

• https://console.cloud.google.com/storage/browser/genomics-public-data/references/hg38/v0/ ...

Combined workflow for large genome assembly

The tutorial document for this workflow is here: https://doi.org/10.5281/zenodo.5655813

What it does: A workflow for genome assembly, containing subworkflows:

• Data QC
• Kmer counting
• Trim and filter reads
• Assembly with Flye
• Assembly polishing
• Assess genome quality

Inputs:

• long reads and short reads in fastq format
• reference genome for Quast

Outputs:

• Data information - QC, kmers
• Filtered, trimmed reads
• Genome assembly, assembly graph, ...

MetaDEGalaxy: Galaxy workflow for differential abundance analysis of 16s metagenomic data

Assess genome quality; can run alone or as part of a combined workflow for large genome assembly.

• What it does: Assesses the quality of the genome assembly: generate some statistics and determine if expected genes are present; align contigs to a reference genome.
• Inputs: polished assembly; reference_genome.fasta (e.g. of a closely-related species, if available).
• Outputs: Busco table of genes found; Quast HTML report, and link to Icarus contigs browser, showing contigs aligned to a reference ...