Explore Workflows
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Motif Finding with HOMER with custom background regions
Motif Finding with HOMER with custom background regions --------------------------------------------------- HOMER contains a novel motif discovery algorithm that was designed for regulatory element analysis in genomics applications (DNA only, no protein). It is a differential motif discovery algorithm, which means that it takes two sets of sequences and tries to identify the regulatory elements that are specifically enriched in on set relative to the other. It uses ZOOPS scoring (zero or one occurrence per sequence) coupled with the hypergeometric enrichment calculations (or binomial) to determine motif enrichment. HOMER also tries its best to account for sequenced bias in the dataset. It was designed with ChIP-Seq and promoter analysis in mind, but can be applied to pretty much any nucleic acids motif finding problem. For more information please refer to: ------------------------------------- [Official documentation](http://homer.ucsd.edu/homer/motif/) |
![]() Path: workflows/homer-motif-analysis-bg.cwl Branch/Commit ID: 4ab9399a4777610a579ea2c259b9356f27641dcc |
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Illumina read quality control, trimming and contamination filter.
**Workflow for Illumina paired read quality control, trimming and filtering.**<br /> Multiple read pairs will be merged into single paired dataset.<br /> Summary: - FastQC on raw data files<br /> - fastp for read quality trimming<br /> - Kraken2 for taxonomic classification of reads<br /> - BBduk for phix and rRNA filtering<br /> - BBmap for (contamination) filtering using given references<br /> - FastQC on filtered (merged) data<br /> **All tool CWL files and other workflows can be found here:**<br> Tools: https://git.wur.nl/unlock/cwl/-/tree/master/cwl<br> Workflows: https://git.wur.nl/unlock/cwl/-/tree/master/cwl/workflows<br> WorkflowHub: https://workflowhub.eu/projects/16/workflows?view=default |
![]() Path: cwl/workflows/workflow_illumina_quality.cwl Branch/Commit ID: 2242521957bb07fc589d6bb07046f6a166bc975a |
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Metagenomic Binning from Assembly
Workflow for Metagenomics from raw reads to annotated bins.<br> Summary - MetaBAT2 (binning) - CheckM (bin completeness and contamination) - GTDB-Tk (bin taxonomic classification) - BUSCO (bin completeness) **All tool CWL files and other workflows can be found here:**<br> Tools: https://git.wur.nl/unlock/cwl/-/tree/master/cwl<br> Workflows: https://git.wur.nl/unlock/cwl/-/tree/master/cwl/workflows<br> The dependencies are either accessible from https://unlock-icat.irods.surfsara.nl (anonymous,anonymous)<br> and/or<br> By using the conda / pip environments as shown in https://git.wur.nl/unlock/docker/-/blob/master/kubernetes/scripts/setup.sh<br> |
![]() Path: cwl/workflows/workflow_metagenomics_binning.cwl Branch/Commit ID: 2242521957bb07fc589d6bb07046f6a166bc975a |
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Nanopore Quality Control and Filtering
**Workflow for nanopore read quality control and contamination filtering.** - FastQC before filtering (read quality control) - Kraken2 taxonomic read classification - Minimap2 read filtering based on given references - FastQC after filtering (read quality control) **All tool CWL files and other workflows can be found here:**<br> Tools: https://git.wur.nl/unlock/cwl/-/tree/master/cwl<br> Workflows: https://git.wur.nl/unlock/cwl/-/tree/master/cwl/workflows<br> WorkflowHub: https://workflowhub.eu/projects/16/workflows?view=default |
![]() Path: cwl/workflows/workflow_nanopore_quality.cwl Branch/Commit ID: 2242521957bb07fc589d6bb07046f6a166bc975a |
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SoupX (workflow) - an R package for the estimation and removal of cell free mRNA contamination
Wrapped in a workflow SoupX tool for easy access to Cell Ranger pipeline compressed outputs. |
![]() Path: tools/soupx-subworkflow.cwl Branch/Commit ID: cbefc215d8286447620664fb47076ba5d81aa47f |
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extract_gencoll_ids
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![]() Path: task_types/tt_extract_gencoll_ids.cwl Branch/Commit ID: 90a321ecf2d049330bcf0657cc4d764d2c3f42dd |
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Metagenomics workflow
Workflow pilon assembly polishing Steps: - BBmap (Read mapping to assembly) - Pilon |
![]() Path: cwl/workflows/workflow_pilon_mapping.cwl Branch/Commit ID: 2242521957bb07fc589d6bb07046f6a166bc975a |
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kmer_cache_retrieve
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![]() Path: task_types/tt_kmer_cache_retrieve.cwl Branch/Commit ID: 4def84df33963fc9ac9d5c5f804b911d01a0d9ad |
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Genomic regions intersection and visualization
Genomic regions intersection and visualization ============================================== 1. Merges intervals within each of the filtered peaks files from ChIP/ATAC experiments 2. Overlaps merged intervals and assigns the nearest genes to them |
![]() Path: workflows/intervene.cwl Branch/Commit ID: cbefc215d8286447620664fb47076ba5d81aa47f |
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echo-wf-default.cwl
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![]() Path: tests/echo-wf-default.cwl Branch/Commit ID: 0e37d46e793e72b7c16b5ec03e22cb3ce1f55ba3 |