Explore Workflows

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Graph Name Retrieved From View
workflow graph wf_get_peaks_trim_partial_scatter_se.cwl

https://github.com/YeoLab/eclip.git

Path: cwl/wf_get_peaks_trim_partial_scatter_se.cwl

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

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

Path: definitions/subworkflows/filter_vcf_nonhuman.cwl

Branch/Commit ID: low-vaf
workflow graph chksum_seqval_wf_paired_fq.cwl

https://github.com/cancerit/workflow-seq-import.git

Path: cwls/chksum_seqval_wf_paired_fq.cwl

Branch/Commit ID: 0.3.2
workflow graph preprocess_vcf.cwl

This workflow will perform preprocessing steps on VCFs for the OxoG/Variantbam/Annotation workflow.

https://github.com/icgc-tcga-pancancer/oxog-dockstore-tools.git

Path: preprocess_vcf.cwl

Branch/Commit ID: 1.0.0
workflow graph module-2.cwl

https://github.com/andurill/ACCESS-Pipeline.git

Path: workflows/module-2.cwl

Branch/Commit ID: 0.0.33_dmp
workflow graph Subworkflow for Annotation

\"Main workflow for Metagenome and Metatranscriptome Annotation related CWL file: ./Tools/00_fastp.cwl ./Tools/05_bwa_mem_index.cwl ./Tools/13_subread.cwl ./Workflow/annotation_sw.cwl ./Workflow/megahit_prodigal_sw.cwl ./Workflow/metagenomic_contig_mapping_sw.cwl\"

https://github.com/RyoMameda/ComplexMicrobiome_GeneExpression_CWL.git

Path: Workflow/main_w.cwl

Branch/Commit ID: main
workflow graph Workflow to run pVACseq from detect_variants and rnaseq pipeline outputs

https://github.com/fgomez02/analysis-workflows.git

Path: definitions/pipelines/pvacseq.cwl

Branch/Commit ID: No_filters_detect_variants
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: rc-1.0
workflow graph wf_full_IDR_pipeline_1input.cwl

The main workflow that: produces two reproducible peaks via IDR given two eCLIP samples (1 input total for both reps, 1 IP each replicate). runs the 'rescue ratio' statistic runs the 'consistency ratio' statistic

https://github.com/YeoLab/merge_peaks.git

Path: cwl/wf_full_IDR_pipeline_1input.cwl

Branch/Commit ID: master
workflow graph SPRM pipeline

https://github.com/hubmapconsortium/sprm.git

Path: pipeline.cwl

Branch/Commit ID: dd8c266