Explore Workflows

Perform taxonomic identification tasks on an input genome

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

Path: taxcheck.cwl

Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b

https://github.com/afmam/dicom-cwl.git

Path: dicom-workflow.cwl

Branch/Commit ID: f27077cc61b284b3b656615c5a53b756cd9df0d7

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

Path: cwltool/schemas/v1.0/v1.0/scatter-wf4.cwl

Branch/Commit ID: fd6e054510e2bb65eed4069a3a88013d7ecbb99c

Packed ID: main

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

Path: tests/wf/mut2.cwl

Branch/Commit ID: 75271e2a0887d47cca4077b60dd51ac763c09b63

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

Path: testdata/step_valuefrom5_wf_v1_0.cwl

Branch/Commit ID: e949503ac0dd7e22ba9b04ac51926d13780f9cee

Note: should be updated The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **single-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 file 2. Use STAR to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ file and generate quality statistics file 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 file 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

https://github.com/datirium/workflows.git

Path: workflows/trim-rnaseq-se-dutp.cwl

Branch/Commit ID: ddc35c559d1ac6aab4972fe1a2b63300c4373f54

A workflow which: i) Runs Hisat2 on each fastq pair while generating the fastq files containing unmapped reads ii) Runs Bowtie2 using the --very-sensitive-local option, on the unmapped reads iii) A subworkflow is employed to prepare BAM files, corresponding to the unmapped-remaped reads, to be merged with the mapped reads form Hisat2 iv) After the merged BAMs are created, they are sorted and assigned a user defined name (according to sample identifier) v) Corresponding index file for each sample is generated. vi) BAMs and index files are used to create bigWig files, to be used for exploring RNA signal in genome browsers vii) Above files are also used to calculate counts (counts.RData object) and generate the metaseqR2 html report viii) At the same time it performs quality control over the FASTQ using fastqc and assembles the MultiQC report

https://github.com/mr-c/elixir-gr-project.git

Path: CWL/workflows/mapping-pe-qc-r.cwl

Branch/Commit ID: 6a1a6b9d5a152e783fe3f794ccce35387d02fd0d

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

Path: dev/pilot-run/worklflows/kfdrc_alignment_pipeline.cwl

Branch/Commit ID: e75f0c96153a484db1f882f6ff2a9764519a3179

Inspect provided directory and return filenames. Generate a new directory and return it (including content).

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

Path: tests/wf/directory.cwl

Branch/Commit ID: 5bdb3d3dd47d8d1b3a1685220b4b6ce0f94c055e

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

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

Path: cwl/workflow_with_facets.cwl

Branch/Commit ID: 462f6015c9268a4205b6e81de018a470b8a4a153