Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
|---|---|---|---|
|
|
workflow.cwl
|
Path: flow_dispatch/2blat/workflow.cwl Branch/Commit ID: 8b8c6dd16e06b43fbb50f1c0821856a31f1bbbc5 |
|
|
|
ani_top_n
|
Path: task_types/tt_ani_top_n.cwl Branch/Commit ID: 92118627c800e4addb7e29b9dabcca073a5bae71 |
|
|
|
wgs alignment with qc
|
Path: definitions/pipelines/alignment_wgs.cwl Branch/Commit ID: 174f3b239018328cec1d821947438b457552724c |
|
|
|
Nanopore assembly workflow
**Workflow for sequencing with ONT Nanopore data, from basecalled reads to (meta)assembly and binning**<br> - Workflow Nanopore Quality - Kraken2 taxonomic classification of FASTQ reads - Flye (de-novo assembly) - Medaka (assembly polishing) - metaQUAST (assembly quality reports) **When Illumina reads are provided:** - Workflow Illumina Quality: https://workflowhub.eu/workflows/336?version=1 - Assembly polishing with Pilon<br> - Workflow binnning https://workflowhub.eu/workflows/64?version=11 - Metabat2 - CheckM - BUSCO - GTDB-Tk **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_nanopore_assembly.cwl Branch/Commit ID: 60fafdfbec9b39c860945ef4634e0c28cb5e976c |
|
|
|
Motif Finding with HOMER with target and background regions from peaks
Motif Finding with HOMER with target and background regions from peaks --------------------------------------------------- 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-peak.cwl Branch/Commit ID: 60854b5d299df91e135e05d02f4be61f6a310fbc |
|
|
|
bwa_index
Modified from https://github.com/kids-first/kf-somatic-workflow/blob/master/sub_workflows/prepare_reference.cwl |
Path: structuralvariants/cwl/subworkflows/bwa_index.cwl Branch/Commit ID: a4a3547b9790e99a58424a0dfcb4e467a7691d6a |
|
|
|
Unaligned BAM to BQSR
|
Path: definitions/subworkflows/bam_to_bqsr.cwl Branch/Commit ID: 6f9f8a2057c6a9f221a44559f671e87a75c70075 |
|
|
|
Detect DoCM variants
|
Path: definitions/subworkflows/docm_germline.cwl Branch/Commit ID: 0805e8e0d358136468e0a9f49e06005e41965adc |
|
|
|
bwa_mem
|
Path: structuralvariants/cwl/subworkflows/bwa_mem.cwl Branch/Commit ID: 32a040f94e9798bf91858da51598f0d68c35797d |
|
|
|
foreign_screening.cwl
|
Path: vecscreen/foreign_screening.cwl Branch/Commit ID: 505b91e41741ccbcd5ebd2b6a09a3be604f9ece3 |
