Workflows
What is a Workflow?Filters
The workflows in this collection are from the '16S Microbial Analysis with mothur' tutorial for analysis of 16S data (Saskia Hiltemann, Bérénice Batut, Dave Clements), adapted for piepline use on galaxy australia (Ahmed Mehdi). The workflows developed in galaxy use mothur software package developed by Schloss et al https://pubmed.ncbi.nlm.nih.gov/19801464/.
Please also refer to the 16S tutorials available at Galaxy https://training.galaxyproject.org/training-material/topics/metagenomics/tutorials/mothur-miseq-sop-short/tutorial.html ...
Type: Galaxy
Creators: Saskia Hiltemann, Bérénice Batut, Dave Clements, Ahmed Mehdi
Submitter: Sarah Williams
HiFi de novo genome assembly workflow
HiFi-assembly-workflow is a bioinformatics pipeline that can be used to analyse Pacbio CCS reads for de novo genome assembly using PacBio Circular Consensus Sequencing (CCS) reads. This workflow is implemented in Nextflow and has 3 major sections.
Please refer to the following documentation for detailed description of each workflow section:
- [Adapter filtration and pre-assembly quality control ...
Type: Nextflow
Creators: Naga Kasinadhuni, Ziad Al-Bkhetan, Martha Zakrzewski, Kenneth Chan, Uwe Winter, Johan Gustafsson
Submitter: Johan Gustafsson
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
...
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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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
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