Workflows
What is a Workflow?Filters
Workflow for processing amplicon pool sequencing data with reference.
This workflow allows you to reconstruct a sequence from an amplicon pool using a reference sequence. To run this workflow, you need the reads from the pool library you want to analyse in FASTQ format, separated into two files: forward and reverse. You will also need your reference sequence in FASTA format. This workflow creates a consensus sequence and a metadata file containing the length of the consensus sequence, the number ...
Reference-based RNA-Seq data analysis
Associated Tutorial
This workflows is part of the tutorial Reference-based RNA-Seq data analysis, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a [Galaxy Workflow ...
Reference-based RNA-Seq data analysis
Associated Tutorial
This workflows is part of the tutorial Reference-based RNA-Seq data analysis, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a [Galaxy Workflow ...
Type: Nextflow
Creators: Marek Cmero, Pradeep Rajasekhar, WEHI SODA Hub Technical Team, Ishrat Zaman, Raymond Yip
Submitter: Marek Cmero
Finds Sentinel-2 products on Copernicus using filtering parameters and performs band calculation on retrieved Sentinel-2 products to evaluate algae bloom for water quality assessment.
Type: Common Workflow Language
Creator: Francis Charette-Migneault
Submitter: Francis Charette-Migneault
This workflows contains a pipeline in Scipion that performs the following steps:
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Import atomic structure: introduces a protein atomic structure in the pipeline as receptor.
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Receptor preparation: uses bioPython to prepare the receptor structure, removing waters, adding hydrogens and removing unnecessary chains if asked. Also, uses PDBFixer to optimize the structure if selected.
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Protein pocket search: uses 3 different software (P2Rank, AutoSite and FPocket) for predicting the receptor ...
This workflow performs genome annotation using Braker3 and evaluates the quality of the annotation with BUSCO and genome annotation statistics.
Binning workflows that uses abundance information and performs binning of metagenomic contigs using 4 different binners as well as bin refinement.
Associated Tutorial
This workflows is part of the tutorial Binning of metagenomic sequencing data, available in the GTN
Features
- Includes [Galaxy Workflow ...
This workflow takes Nanopore fastq(.gz) files and runs Minimap2 to map the reads against a reference genome (human, by default). It filters the output to keep only the unmapped reads and generates mapping statistics that are aggregated into a MultiQC report.
This workflow takes paired-end Illumina fastq(.gz) files and runs Bowtie to map the reads against a reference genome (human, by default) and keep only the reads that do not align. MultiQC is used to aggregate the mapping reports.
Tests