Explore Workflows

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

Graph Name Retrieved From View
workflow graph Replace legacy AML Trio Assay

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

Path: definitions/pipelines/aml_trio_cle.cwl

Branch/Commit ID: 457e101e3fb87e7fd792357afce00ed8ccbfbcdb
workflow graph vcf_to_aliquot_maf_wf.cwl

https://github.com/NCI-GDC/aliquot-maf-cwl.git

Path: vcf-to-aliquot-maf/vcf_to_aliquot_maf_wf.cwl

Branch/Commit ID: af9e756697f29b082790b65f129a6434fd5c4980
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: 51724b44c96e5fd849ae55b752865b80bc47d66c
workflow graph kfdrc_RNAseq_workflow.cwl

https://github.com/kids-first/kf-rnaseq-workflow.git

Path: workflow/kfdrc_RNAseq_workflow.cwl

Branch/Commit ID: 3fd55a819cda2a1fc48957b5daa2bebdaee843fb
workflow graph scatter-wf1_v1_0.cwl

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

Path: testdata/scatter-wf1_v1_0.cwl

Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631
workflow graph assemble.cwl

Assemble a set of reads using SKESA

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

Path: assemble.cwl

Branch/Commit ID: 2afb5ebafd1353ba063cc74ee9a7eaf347afce5c
workflow graph workflow_input_format_expr.cwl

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

Path: testdata/workflow_input_format_expr.cwl

Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631
workflow graph scatter-wf2_v1_0.cwl

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

Path: testdata/scatter-wf2_v1_0.cwl

Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631
workflow graph tt_fscr_calls_pass1

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

Path: task_types/tt_fscr_calls_pass1.cwl

Branch/Commit ID: 2afb5ebafd1353ba063cc74ee9a7eaf347afce5c
workflow graph Assess the statistical description of calibration events

When DPPS receives a new DL0 data product, the CalibPipe is triggered to process the calibration events. The CalibPipe performs charge integration and peak time extraction for the entire set of calibration events, and computes aggregated time-series statistics, including the mean, median, and standard deviation. Using these aggregated statistics, the CalibPipe identifies faulty camera pixels, such as those affected by starlight, by applying various outlier detection criteria. Time periods with a significant number of faulty pixels, exceeding a predefined threshold, are flagged as invalid. A refined treatment can then be applied to these time periods to account for the issues.

https://gitlab.cta-observatory.org/cta-computing/dpps/calibrationpipeline/calibpipe.git

Path: workflows/telescope/camera/uc-120-2.21-assess-statistical-description.cwl

Branch/Commit ID: camcalib_cwl