Explore Workflows

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

Graph Name Retrieved From View
workflow graph Unaligned to aligned BAM

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

Path: definitions/subworkflows/align.cwl

Branch/Commit ID: 92bdcd9fa879161834ecdb1c4c9ac7c46e940206
workflow graph phase VCF

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

Path: definitions/subworkflows/phase_vcf.cwl

Branch/Commit ID: d57c2af01a3cb6016e5a264f60641eafd2e5aa05
workflow graph bact_get_kmer_reference

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

Path: task_types/tt_bact_get_kmer_reference.cwl

Branch/Commit ID: cc2f633532a6e0bc399b29180f25cc58ad5963d6
workflow graph count-lines9-wf.cwl

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

Path: cwltool/schemas/v1.0/v1.0/count-lines9-wf.cwl

Branch/Commit ID: e62a8406b448220969ee172699f61c5ca379d60c
workflow graph wgs alignment with qc

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

Path: definitions/pipelines/wgs_alignment.cwl

Branch/Commit ID: db0a91eb094d0a7c58042d4264986ea042dd4827
workflow graph conflict-wf.cwl#collision

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

Path: cwltool/schemas/v1.0/v1.0/conflict-wf.cwl

Branch/Commit ID: e2ec740fccc81ff7071dcd607c5c158fbc0dfb90

Packed ID: collision
workflow graph tt_univec_wnode.cwl

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

Path: task_types/tt_univec_wnode.cwl

Branch/Commit ID: 8aa85573e659ef67163537d6811afdddcfad53dc
workflow graph count-lines11-null-step-wf.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/count-lines11-null-step-wf.cwl

Branch/Commit ID: 6397014050177074c9ccd0d771577f7fa9f728a3
workflow graph tt_fscr_calls_pass1

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

Path: task_types/tt_fscr_calls_pass1.cwl

Branch/Commit ID: e4d6182d5f7a6a880e5f2b21273cf40d25e187df
workflow graph Perform camera calibration

Camera calibration data (from telescope-level calibration events) will be recorded alongside science data during and around each observation night by ACADA. Different calibration event types will be recorded to the different streams at this stage. Interleaved flat-field and sky pedestal events are tagged at the telescope level, allowing the data to directly align with the functional decomposition of the CalibPipe and avoid the need of additional event-type filtering. Following this, pixel- and channel-wise camera calibration coefficients are calculated as a function of time. This process includes the computation of aggregated time-series statistics for the calibration events, as well as the detection of non-nominal pixels and time periods (UC-120-2.21). The aggregated statistics are further processed to derive the sky pedestal offsets per waveform sample, flat-fielding coefficients, and pixel timing corrections. Additionally, the CalibPipe calculates the absolute gain for each pixel and gain channel as a function of time. This process will ultimately yield a multiplicative coefficient for the absolute calibration of extracted charge into photoelectrons. To achieve accurate absolute gain and charge calibration, CalibPipe derives telescope-specific systematic corrections (UC-120-2.22) and the conversion factors from digital counts to single photoelectrons (UC-120-2.23).

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

Path: workflows/telescope/camera/uc-120-2.20-perform-camera-calibration.cwl

Branch/Commit ID: 0ef4c7080b3137b590a437b811fba3c6c2556494