Explore Workflows

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Graph Name Retrieved From View
workflow graph exome alignment and germline variant detection

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

Path: definitions/subworkflows/germline_detect_variants.cwl

Branch/Commit ID: master
workflow graph strelka workflow

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

Path: definitions/subworkflows/strelka_and_post_processing.cwl

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

https://github.com/mskcc/Innovation-Pipeline.git

Path: workflows/marianas/collapsed_fastq_to_bam.cwl

Branch/Commit ID: master
workflow graph varscanW.cwl

Author: AMBARISH KUMAR er.ambarish@gmail.com; ambari73_sit@jnu.ac.in This is a proposed standard operating procedure for genomic variant detection using VARSCAN. It is hoped to be effective and useful for getting SARS-CoV-2 genome variants. It uses Illumina RNASEQ reads and genome sequence.

https://github.com/ambarishK/bio-cwl-tools.git

Path: varscanW.cwl

Branch/Commit ID: release
workflow graph main.cwl

https://github.com/CLAIRE-COVID/AI-Covid19-pipelines.git

Path: offline/streamflow/cwl/main.cwl

Branch/Commit ID: master
workflow graph EMG pipeline v3.0 (paired end version)

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/emg-pipeline-v3-paired.cwl

Branch/Commit ID: 8515542
workflow graph collate_unique_SSU_headers.cwl

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: tools/collate_unique_SSU_headers.cwl

Branch/Commit ID: f6b5196
workflow graph sequence (bam or fastqs) to trimmed fastqs and HISAT alignments

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

Path: definitions/subworkflows/sequence_to_trimmed_fastq_and_hisat_alignments.cwl

Branch/Commit ID: low-vaf
workflow graph SSU-from-tablehits.cwl

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: tools/SSU-from-tablehits.cwl

Branch/Commit ID: f993cad
workflow graph workflow_with_facets.cwl

CWL workflow for generating Roslin / Argos post pipeline analysis files and cBioPortal data and metadata files This workflow includes Facets and Facets Suite usages Inputs ------ The following parameters are required: project_id project_pi request_pi project_short_name project_name project_description cancer_type cancer_study_identifier argos_version_string helix_filter_version is_impact extra_pi_groups pairs The following filenames are required: analysis_mutations_filename analysis_gene_cna_filename analysis_sv_filename analysis_segment_cna_filename cbio_segment_data_filename cbio_meta_cna_segments_filename The following filenames have default values and are optional: cbio_mutation_data_filename cbio_cna_data_filename cbio_fusion_data_filename cbio_clinical_patient_data_filename cbio_clinical_sample_data_filename cbio_clinical_sample_meta_filename cbio_clinical_patient_meta_filename cbio_meta_study_filename cbio_meta_cna_filename cbio_meta_fusions_filename cbio_meta_mutations_filename cbio_cases_all_filename cbio_cases_cnaseq_filename cbio_cases_cna_filename cbio_cases_sequenced_filename Output ------ Workflow output should look like this: output ├── analysis │   ├── <project_id>.gene.cna.txt │   ├── <project_id>.muts.maf │   ├── <project_id>.seg.cna.txt │   └── <project_id>.svs.maf ├── facets │ ├── <tumor_id>.<normal_id> (passed) │ │ └── <facets_files> │ └── <tumor_id>.<normal_id> (failed) │ └── <log_files> └── portal ├── case_list │   ├── cases_all.txt │   ├── cases_cnaseq.txt │   ├── cases_cna.txt │   └── cases_sequenced.txt ├── data_clinical_patient.txt ├── data_clinical_sample.txt ├── data_CNA.ascna.txt ├── data_CNA.scna.txt ├── data_CNA.txt ├── data_sv.txt ├── data_fusions.txt ├── data_mutations_extended.txt ├── meta_clinical_patient.txt ├── meta_clinical_sample.txt ├── meta_CNA.txt ├── meta_sv.txt ├── meta_fusions.txt ├── meta_mutations_extended.txt ├── meta_study.txt ├── <project_id>_data_cna_hg19.seg └── <project_id>_meta_cna_hg19_seg.txt

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

Path: cwl/workflow_with_facets.cwl

Branch/Commit ID: master