Australian BioCommons
OverviewThe 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.
Space: Australian BioCommons
SEEK ID: https://workflowhub.eu/projects/30
Public web page: https://www.biocommons.org.au/
Organisms: No Organisms specified
WorkflowHub PALs: No PALs for this Team
Team created: 16th Feb 2021
Related items
https://orcid.org/0000-0002-3935-2279
Teams: Australian BioCommons, Sydney Informatics Hub
Organizations: Australian BioCommons, The University of Sydney
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.
Teams: Australian BioCommons, QCIF Bioinformatics, Pawsey Supercomputing Centre, Sydney Informatics Hub, Janis, Melbourne Data Analytics Platform (MDAP), Galaxy Australia
Web page: https://www.biocommons.org.au/
PacBio-HiFi-genome-assembly-using-hifiasm
General recommendations for using PacBio-HiFi-genome-assembly-using-hifiasm
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 ...
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 ...
Type: Shell Script
Creators: Cali Willet, Tracy Chew, Georgina Samaha, Rosemarie Sadsad, Andrey Bliznyuk, Ben Menadue, Rika Kobayashi, Matthew Downton, Yue Sun
Submitter: Georgina Samaha
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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
