Explore Workflows

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

Graph Name Retrieved From View
workflow graph secret_wf.cwl

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

Path: tests/wf/secret_wf.cwl

Branch/Commit ID: 9dd102764b986221ba6715e237493b2a731166ea
workflow graph count-lines8-wf.cwl

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

Path: tests/count-lines8-wf.cwl

Branch/Commit ID: 5f27e234b4ca88ed1280dedf9e3391a01de12912
workflow graph workflow.cwl

https://github.com/nal-i5k/organism_onboarding.git

Path: flow_dispatch/2blat/workflow.cwl

Branch/Commit ID: 39b1d1a39a2ccdadd52db15b41422ecccc66e605
workflow graph ani_top_n

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

Path: task_types/tt_ani_top_n.cwl

Branch/Commit ID: 7c8eb4d23c3c9859f57421643710c0b6d57b606c
workflow graph bam to trimmed fastqs and HISAT alignments

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

Path: definitions/subworkflows/bam_to_trimmed_fastq_and_hisat_alignments.cwl

Branch/Commit ID: 2e0562a5c3cd7aac24af4c622a5ae68a7fb23a71
workflow graph word-mapping-test-files-wf.cwl#main

https://github.com/KBNLresearch/ochre.git

Path: ochre/cwl/word-mapping-test-files-wf.cwl

Branch/Commit ID: bfd504ae910fbf7a3492f53430a1c9f3c3c97470

Packed ID: main
workflow graph kmer_cache_store

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

Path: task_types/tt_kmer_cache_store.cwl

Branch/Commit ID: 72804b6506c9f54ec75627f82aafe6a28d7a49fa
workflow graph Detect Variants workflow

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

Path: definitions/pipelines/detect_variants.cwl

Branch/Commit ID: 39ac49f5d080bbb6bfa97246f46a5b621254f622
workflow graph 5S-from-tablehits.cwl

https://github.com/proteinswebteam/ebi-metagenomics-cwl.git

Path: tools/5S-from-tablehits.cwl

Branch/Commit ID: b6d3aaf3fa6695061208c6cdca3d7881cc45400d
workflow graph FastQC - a quality control tool for high throughput sequence data

FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application

 https://github.com/datirium/workflows.git

Path: workflows/fastqc.cwl

Branch/Commit ID: 2f0db4b3c515f91c5cfda19c78cf90d339390986