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Soil Metagenome Pipeline
Soil Metagenome Pipeline is a modular, Nextflow DSL2 workflow for assembling, polishing, binning, annotating, and functionally characterizing complex soil metagenomes. It orchestrates state-of-the-art tools for long- and short-read metagenomics, generates high-quality MAGs, assigns taxonomy, and screens for biosynthetic gene clusters (BGCs).
What it does
- Assembles long-read metagenomes (e.g., ONT) with Flye and optionally polishes with Medaka and/or NextPolish using ...
The workflow main goal is to align DNA-Seq read files with BWA-MEM , with optional adapter trimming, UMI consensus calling, duplicate marking. Finally it runs Multi QC to gather tool metrics. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.
The workflow main goal is to run divers tools to obtain alignment quality metrics from RNA-Seq, DNA-Seq, and ChIP-Seq using Picard, Qualimap, Samtools, dupradar, biotype analysis, FastQ Screen, RSeQC or Phantom peak. Finally it runs Multi QC to gather tool metrics. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.
The workflow main goal is to count reads aligned or pseudo-aligned to reference genome annotation using featureCount, HTSeq-count, RSEM, Kallisto or Salmon. Finally it runs Multi QC to gather tool metrics. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.
The workflow main goal is to align RNA-Seq read files with STAR and to check for duplicates using either Picard Markduplicates or UMI-tools. Finally it runs Multi QC to gather tool metrics. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.
The workflow serves as a short introduction to Galaxy for users from the Humanities who mostly work with texts. The workflow compares two texts, visualises the differences with 'diff' and a wordcloud and extracts selected passaged for further analysis.
Associated Tutorial
This workflows is part of the tutorial Introduction to Digital Humanities in Galaxy, available in ...
Workflow for quality assessment of paired reads and classification using NGTax 2.0 and functional annotation using picrust2.
In addition files are exported to their respective subfolders for easier data management in a later stage.
Steps:
- Quality plots (FastQC)
- NG-TAX 2 High-throughput Amplicon Analysis
- PICRUSt 2 - Function prediction from marker gene sequences
- Export module for ngtax
Workflow for quality assessment and taxonomic classification of amplicon long read sequences. In addition files are exported to their respective subfolders for easier data management in a later stage.
Inputs are expected to be basecalled fastq files
Steps:
- NanoPlot read quality control, before and after filtering
- fastplong read quality and length filtering
- Emu abundance; species-level taxonomic abundance for full-length 16S read
Workflow (hybrid) metagenomic assembly and binning
- Workflow Illumina Quality:
- Sequali (control)
- hostile contamination filter
- fastp (quality trimming)
- Workflow Longread Quality:
- NanoPlot (control)
- fastplong (quality trimming)
- hostile contamination filter
- Kraken2 taxonomic classification of FASTQ reads
- SPAdes/Flye (Assembly)
- Medaka/PyPolCA (Assembly polishing)
- QUAST (Assembly quality report)
(optional)
- Workflow binnning
- Metabat2/MaxBin2/SemiBin
- Binette
- BUSCO
...
Type: Common Workflow Language
Creators: Bart Nijsse, Jasper Koehorst, Changlin Ke
Submitter: Bart Nijsse