Explore Workflows

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

Graph Name Retrieved From View
workflow graph rp2-to-rp2path.cwl

https://github.com/ibisba/test-cwl.git

Path: workflows/rp2-to-rp2path.cwl

Branch/Commit ID: master
workflow graph gvcf-distr.cwl

https://github.com/Sentieon/Sentieon-cwl.git

Path: stage/gvcf-distr.cwl

Branch/Commit ID: master
workflow graph sc_atac_seq_process_and_analyze.cwl

https://github.com/hubmapconsortium/sc-atac-seq-pipeline.git

Path: steps/sc_atac_seq_process_and_analyze.cwl

Branch/Commit ID: 7fed36f
workflow graph qiime2 create phylogenetic tree

Generate a tree for phylogenetic diversity analyses from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

 https://github.com/Duke-GCB/bespin-cwl.git

Path: packed/qiime2-step2-dada2.cwl

Branch/Commit ID: qiime2-workflow

Packed ID: qiime2-05-phylogeny.cwl
workflow graph pulsar_timing_prototype_workflow.cwl

https://github.com/TMCantwell/pulsar_timing_prototype.git

Path: pulsar_timing_prototype_workflow.cwl

Branch/Commit ID: master
workflow graph bams2gvcf.woBQSR.multisamples.cwl

https://github.com/ddbj/human-reseq.git

Path: Workflows/bams2gvcf.woBQSR.multisamples.cwl

Branch/Commit ID: master
workflow graph Apply filters to VCF file

https://github.com/ChrisMaherLab/PACT.git

Path: subworkflows/filter_vcf.cwl

Branch/Commit ID: master
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: rc-1.0
workflow graph Bacterial Annotation, pass 2, blastp-based functional annotation (first pass)

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

Path: bacterial_annot/wf_bacterial_annot_pass2.cwl

Branch/Commit ID: master
workflow graph starfishRunner.cwl

https://github.com/hubmapconsortium/spatial-transcriptomics-pipeline.git

Path: steps/starfishRunner.cwl

Branch/Commit ID: master