Explore Workflows

https://github.com/mskcc/argos-cwl.git

Path: workflows/copy_outputs.cwl

Branch/Commit ID: master

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

Path: tests/count-lines12-wf.cwl

Branch/Commit ID: 4feec74019b56dc5c51be905a208ff90797661de

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

Path: gaps_or_not.cwl

Branch/Commit ID: master

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: rc-1.0

https://github.com/apaul7/cancer-genomics-workflow.git

Path: definitions/pipelines/detect_variants_wgs_nonhuman.cwl

Branch/Commit ID: low-vaf

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

Path: tests/wf-loadContents4.cwl

Branch/Commit ID: master

https://github.com/arvados/bh20-seq-resource.git

Path: workflows/fastq2fasta/bam2fasta.cwl

Branch/Commit ID: master

Validate telescope throughput taking into account the optical (mirror configurations, reflectivity, shadowing elements, camera filter, light cones) and camera (photo-detection efficiency) components.

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

Path: workflows/ValidateTelescopeEfficiency.cwl

Branch/Commit ID: main

https://github.com/common-workflow-lab/wdl-cwl-translator.git

Path: wdl2cwl/tests/cwl_files/gwas.cwl

Branch/Commit ID: main

Reverse the lines in a document, then sort those lines.

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

Path: tests/revsort.cwl

Branch/Commit ID: main