Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
|---|---|---|---|
|
|
exome alignment and somatic variant detection for cle purpose
|
Path: definitions/pipelines/somatic_exome_cle.cwl Branch/Commit ID: 27dcb1ae121be6a23057b74332b8c752ea425735 |
|
|
|
any-type-compat.cwl
|
Path: cwltool/schemas/v1.0/v1.0/any-type-compat.cwl Branch/Commit ID: ae401a813472ca453a99ad067a5e6fc3bd71112b |
|
|
|
conditional_step_no_inputs.cwl
|
Path: tests/wf/conditional_step_no_inputs.cwl Branch/Commit ID: 1441c285e8a5afe399f5d52ca9059cb8bb513edb |
|
|
|
scatter-wf2_v1_0.cwl
|
Path: testdata/scatter-wf2_v1_0.cwl Branch/Commit ID: 77669d4dd1d1ebd2bdd9810f911608146d9b8e51 |
|
|
|
umi molecular alignment workflow
|
Path: definitions/subworkflows/molecular_alignment.cwl Branch/Commit ID: 49508a2757ff2f49f1c200774a38af1c12b531bf |
|
|
|
Subworkflow to allow calling cnvkit with cram instead of bam files
|
Path: definitions/subworkflows/cram_to_cnvkit.cwl Branch/Commit ID: 2979b565f88ceebca934611adbf3fb8cefd65a19 |
|
|
|
RNA-seq alelle specific pipeline for single-read data
Allele specific RNA-Seq single-read workflow |
Path: workflows/allele-rnaseq-se.cwl Branch/Commit ID: c602e3cdd72ff904dd54d46ba2b5146eb1c57022 |
|
|
|
scRNA-seq pipeline using Salmon and Alevin
|
Path: pipeline.cwl Branch/Commit ID: 8af5a1c9c99b06e7024e4ddbf45a15cf07ea9410 |
|
|
|
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_fusions.txt ├── data_mutations_extended.txt ├── meta_clinical_patient.txt ├── meta_clinical_sample.txt ├── meta_CNA.txt ├── meta_fusions.txt ├── meta_mutations_extended.txt ├── meta_study.txt ├── <project_id>_data_cna_hg19.seg └── <project_id>_meta_cna_hg19_seg.txt |
Path: cwl/workflow_with_facets.cwl Branch/Commit ID: 342e6f1f4f7a3839e579fbe96ccc8d6f7a61ac77 |
|
|
|
Trim Galore SMARTer RNA-Seq pipeline paired-end strand specific
https://chipster.csc.fi/manual/library-type-summary.html Modified original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **pair-end** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the single-end RNA-Seq data. It performs the following steps: 1. Trim adapters from input FASTQ files 2. Use STAR to align reads from input FASTQ files according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ files and generate quality statistics files 4. Use samtools sort to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 5. Generate BigWig file on the base of sorted BAM file 6. Map input FASTQ files to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 7. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using GEEP reads-counting utility; export results to file |
Path: workflows/trim-rnaseq-pe-smarter-dutp.cwl Branch/Commit ID: aebf2355539fdf81fd9082616f8b21440d2691c6 |
