The Australian BioCommons enhances digital life science research through world class collaborative distributed infrastructure. It aims to ensure that Australian life science research remains globally competitive, through sustained strategic leadership, research community engagement, digital service provision, training and support.

IGVreport-nf

• Description
• Diagram
• User guide
• Workflow summaries
• Metadata
• Component tools
• Required (minimum) inputs/parameters
• Additional notes
• Help/FAQ/Troubleshooting
• Acknowledgements/citations/credits

Description

Quickly generate [IGV .html ...

GermlineStructuralV-nf

:wrench: This pipeline is currently under development :wrench:

• Description
• Diagram
• User guide
• Infrastructure usage and recommendations
• Benchmarking
• Workflow summaries
• Metadata
• Component tools
• Additional notes
• Help/FAQ/Troubleshooting

...

PacBio HiFi genome assembly using hifiasm v2.1

General usage recommendations

Please see the Genome assembly with hifiasm on Galaxy Australia guide.

See change log

Acknowledgements

The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian ...

Purge-duplicates-from-hifiasm-assembly

General recommendations for using Purge-duplicates-from-hifiasm-assembly

Please see the Genome assembly with hifiasm on Galaxy Australia guide.

Acknowledgements

The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian ...

BAM-to-FASTQ-QC

General recommendations for using BAM-to-FASTQ-QC

Please see the Genome assembly with hifiasm on Galaxy Australia guide.

Acknowledgements

The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian Research Data Commons (https://doi.org/10.47486/PL105) ...

IndexReferenceFasta-nf

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• Description
• Diagram
• User guide
• Benchmarking
• Workflow summaries
• Metadata
• Component tools
• Required (minimum) inputs/parameters
• Additional notes
• Help/FAQ/Troubleshooting
• Acknowledgements/citations/credits ...

Fastq-to-BAM @ NCI-Gadi is a genome alignment workflow that takes raw FASTQ files, aligns them to a reference genome and outputs analysis ready BAM files. This workflow is designed for the National Computational Infrastructure's (NCI) Gadi supercompter, leveraging multiple nodes on NCI Gadi to run all stages of the workflow in parallel, either massively parallel using the scatter-gather approach or parallel by sample. It consists of a number of stages and follows the BROAD Institute's best practice ...

workflow-partial-gstacks-populations

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/

This workflow is part of the reference-guided stacks workflow, https://workflowhub.eu/workflows/347

This workflow takes in bam files and a population map.

To generate bam files see: https://workflowhub.eu/workflows/351

workflow-partial-bwa-mem

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/

This workflow is part of the reference-guided stacks workflow, https://workflowhub.eu/workflows/347

Inputs

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

workflow-partial-cstacks-sstacks-gstacks

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/

This workflow takes in ustacks output, and runs cstacks, sstacks and gstacks.

To generate ustacks output see https://workflowhub.eu/workflows/349

For the full de novo workflow see https://workflowhub.eu/workflows/348

workflow-partial-ustacks-only

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/

For the full de novo workflow see https://workflowhub.eu/workflows/348

You may want to run ustacks with different batches of samples.

• To be able to combine these later, there are some necessary steps - we need to keep track of how many ...

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 ...

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 ...

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, ...

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 ...

Assembly polishing subworkflow: Racon polishing with long reads

Inputs: long reads and assembly contigs

Workflow steps:

• minimap2 : long reads are mapped to assembly => overlaps.paf.
• overaps, long reads, assembly => Racon => polished assembly 1
• using polished assembly 1 as input; repeat minimap2 + racon => polished assembly 2
• using polished assembly 2 as input, repeat minimap2 + racon => polished assembly 3
• using polished assembly 3 as input, repeat minimap2 + racon => ...

Assembly with Flye; can run alone or as part of a combined workflow for large genome assembly.

• What it does: Assembles long reads with the tool Flye
• Inputs: long reads (may be raw, or filtered, and/or corrected); fastq.gz format
• Outputs: Flye assembly fasta; Fasta stats on assembly.fasta; Assembly graph image from Bandage; Bar chart of contig sizes; Quast reports of genome assembly
• Tools used: Flye, Fasta statistics, Bandage, Bar chart, Quast
• Input parameters: None required, but recommend ...

Trim and filter reads; can run alone or as part of a combined workflow for large genome assembly.

• What it does: Trims and filters raw sequence reads according to specified settings.
• Inputs: Long reads (format fastq); Short reads R1 and R2 (format fastq)
• Outputs: Trimmed and filtered reads: fastp_filtered_long_reads.fastq.gz (But note: no trimming or filtering is on by default), fastp_filtered_R1.fastq.gz, fastp_filtered_R2.fastq.gz
• Reports: fastp report on long reads, html; fastp report ...

This ARDC and BioCommons sponsored project delivers a key component of BioCommon’s vision for an ecosystem of platforms providing researchers with sophisticated data analysis and digital asset stewardship capabilities. The Bring Your Own Data (BYOD) Platform (https://www.biocommons.org.au/byod-expansion) has enabled highly accessible, highly available, highly scalable analysis and data sharing capabilities for the benefit of life science researchers nationally.

**This WorkflowHub collection ...