Explore Workflows

View already parsed workflows here or click here to add your own

Graph Name Retrieved From View
workflow graph kmer_seq_entry_extract_wnode

https://github.com/ncbi/pgap.git

Path: task_types/tt_kmer_seq_entry_extract_wnode.cwl

Branch/Commit ID: 4cd1fb565519fbe5f9c462acae01ff608c3784a3

workflow graph SAMSA2 pipeline

SAMSA2 complete workflow for meta-omics read annotation Steps: - Diamond read blastx - Refseq - SEED - SAMSA2 processing

https://git.wageningenur.nl/unlock/cwl.git

Path: cwl/workflows/workflow_samsa2.cwl

Branch/Commit ID: master

workflow graph basename-fields-test.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/basename-fields-test.cwl

Branch/Commit ID: 1f3ef888d9ef2306c828065c460c1800604f0de4

workflow graph merge and annotate svs with population allele freq and vep

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/merge_svs.cwl

Branch/Commit ID: c235dc6d623879a6c4f5fb307f545c9806eb2d23

workflow graph Metagenomics workflow

Workflow for Metagenomics from raw reads to annotated bins. Steps: - workflow_illumina_quality.cwl: - FastQC (control) - fastp (quality trimming) - kraken2 (taxonomy) - bbmap contamination filter - SPAdes (Assembly) - QUAST (Assembly quality report) - BBmap (Read mapping to assembly) - Contig binning (OPTIONAL)

https://git.wageningenur.nl/unlock/cwl.git

Path: cwl/workflows/workflow_metagenomics_assembly.cwl

Branch/Commit ID: master

workflow graph Spliced RNAseq workflow

Workflow for Spliced RNAseq data Steps: - workflow_illumina_quality: - FastQC (Read Quality Control) - fastp (Read Trimming) - STAR (Read mapping) - featurecounts (transcript read counts) - kallisto (transcript [pseudo]counts)

https://git.wageningenur.nl/unlock/cwl.git

Path: cwl/workflows/workflow_RNAseq_Spliced.cwl

Branch/Commit ID: master

workflow graph tt_blastn_wnode

https://github.com/ncbi/pgap.git

Path: task_types/tt_blastn_wnode.cwl

Branch/Commit ID: f3bc91cf1320f75967ec2719b1506b75f23cb4b6

workflow graph Illumina read quality control, trimming and contamination filter.

**Workflow for Illumina paired read quality control, trimming and filtering.**<br /> Multiple paired datasets will be merged into single paired dataset.<br /> Summary: - FastQC on raw data files<br /> - fastp for read quality trimming<br /> - BBduk for phiX and (optional) rRNA filtering<br /> - Kraken2 for taxonomic classification of reads (optional)<br /> - BBmap for (contamination) filtering using given references (optional)<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

https://git.wageningenur.nl/unlock/cwl.git

Path: cwl/workflows/workflow_illumina_quality.cwl

Branch/Commit ID: master

workflow graph gcaccess_from_list

https://github.com/ncbi/pgap.git

Path: task_types/tt_gcaccess_from_list.cwl

Branch/Commit ID: 4cd1fb565519fbe5f9c462acae01ff608c3784a3

workflow graph iwdr-passthrough-successive.cwl

https://github.com/common-workflow-language/cwltool.git

Path: tests/wf/iwdr-passthrough-successive.cwl

Branch/Commit ID: 1397d96ad97fe8abfd1184675d728a8a04699d67