Post-genome assembly quality control workflow using Quast, BUSCO, Meryl, Merqury and Fasta Statistics, with updates November 2024.

Workflow inputs: reads as fastqsanger.gz (not fastq.gz), and primary assembly.fasta. (To change reads format: click on the pencil icon next to the file in the Galaxy history, then "Datatypes", then set "New type" as fastqsanger.gz). Note: the reads should be those that were used for the assembly (i.e., the filtered/cleaned reads), not the raw reads.

What it does: ...

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) ...

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 ...

RNASeq-DE @ NCI-Gadi processes RNA sequencing data (single, paired and/or multiplexed) for differential expression (raw FASTQ to counts). This pipeline consists of multiple stages and is designed for the National Computational Infrastructure's (NCI) Gadi supercompter, leveraging multiple nodes to run each stage in parallel.

Infrastructure_deployment_metadata: Gadi (NCI)

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 ...