Explore Workflows

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Graph Name Retrieved From View
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
workflow graph vector_cleanup

This workflow detect and remove vectors from a DNA fasta file

 https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/Contamination/vector-cleanup.cwl

Branch/Commit ID: b5a440939ac6022ee81aeeb0dd7daf3983228a61
workflow graph kfdrc_cram_reheader_wf.cwl

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

Path: workflows/kfdrc_cram_reheader_wf.cwl

Branch/Commit ID: b6d3cf83b57011983fb848c7178017e07b94c270
workflow graph STAR-RNA-Seq alignment and transcript/gene abundance workflow

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

Path: definitions/pipelines/rnaseq_star_fusion.cwl

Branch/Commit ID: d57c2af01a3cb6016e5a264f60641eafd2e5aa05
workflow graph umi molecular alignment workflow

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

Path: definitions/subworkflows/molecular_qc.cwl

Branch/Commit ID: a59a803e1809a8fbfabca6b8962a8ad66dd01f1d
workflow graph scatter-wf3_v1_0.cwl#main

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

Path: testdata/scatter-wf3_v1_0.cwl

Branch/Commit ID: b926e330eba795f3acc1f71fd0645e75f925a2da

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: 8ea3637b0f11eac1ea5599c41d74e00d85fb778d
workflow graph three_step_color.cwl

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

Path: tests/wf/three_step_color.cwl

Branch/Commit ID: a67c898958f6affc8cb9de05fe87c9228a4fc63e