Skip to content
cccskills
FreePublished on GitHub

bio-workflow-management-cwl-workflows

Create portable, standards-based bioinformatics pipelines with Common Workflow Language (CWL). Use when building workflows that need maximum portability across execution platforms, sharing pipelines with collaborators using different systems, or contributing to community workflow registries.

The English summary is being prepared. Showing the original description.

Works withDocker
See how to install

Files included (3)

  • SKILL.md7.4 KB
  • examples/rnaseq.cwl3.4 KB
  • usage-guide.md3.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Version Compatibility

Reference examples tested with: FastQC 0.12+, Nextflow 23.10+, Salmon 1.10+, Snakemake 8.0+, fastp 0.23+

Before using code patterns, verify installed versions match. If versions differ:

  • CLI: <tool> --version then <tool> --help to confirm flags

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

CWL Workflows

"Write a portable CWL workflow for my analysis" → Define tools and workflows in YAML using the Common Workflow Language standard for maximum cross-platform portability and sharing through workflow registries.

  • CLI: cwltool for local execution of CWL documents
  • YAML: CWL v1.2 CommandLineTool and Workflow class definitions

Basic Tool Definition

# fastqc.cwl
cwlVersion: v1.2
class: CommandLineTool
baseCommand: fastqc

inputs:
  fastq:
    type: File
    inputBinding:
      position: 1

outputs:
  html:
    type: File
    outputBinding:
      glob: "*_fastqc.html"
  zip:
    type: File
    outputBinding:
      glob: "*_fastqc.zip"

Tool with Parameters

# bwa_mem.cwl
cwlVersion: v1.2
class: CommandLineTool
baseCommand: [bwa, mem]

requirements:
  DockerRequirement:
    dockerPull: biocontainers/bwa:v0.7.17
  ResourceRequirement:
    coresMin: 8
    ramMin: 16000

inputs:
  threads:
    type: int
    default: 8
    inputBinding:
      prefix: -t
      position: 1
  reference:
    type: File
    secondaryFiles:
      - .amb
      - .ann
      - .bwt
      - .pac
      - .sa
    inputBinding:
      position: 2
  reads_1:
    type: File
    inputBinding:
      position: 3
  reads_2:
    type: File?
    inputBinding:
      position: 4

stdout: aligned.sam

outputs:
  sam:
    type: stdout

Basic Workflow

# rnaseq.cwl
cwlVersion: v1.2
class: Workflow

inputs:
  fastq_1: File
  fastq_2: File
  salmon_index: Directory

outputs:
  quant_results:
    type: Directory
    outputSource: salmon/quant_dir

steps:
  fastp:
    run: fastp.cwl
    in:
      reads_1: fastq_1
      reads_2: fastq_2
    out: [trimmed_1, trimmed_2, json_report]

  salmon:
    run: salmon_quant.cwl
    in:
      index: salmon_index
      reads_1: fastp/trimmed_1
      reads_2: fastp/trimmed_2
    out: [quant_dir]

Scatter (Parallel Execution)

cwlVersion: v1.2
class: Workflow

requirements:
  ScatterFeatureRequirement: {}

inputs:
  fastq_files:
    type: File[]
  reference: File

outputs:
  bam_files:
    type: File[]
    outputSource: align/bam

steps:
  align:
    run: bwa_mem.cwl
    scatter: fastq
    in:
      fastq: fastq_files
      reference: reference
    out: [bam]

Multi-Scatter

requirements:
  ScatterFeatureRequirement: {}
  MultipleInputFeatureRequirement: {}

steps:
  align:
    run: bwa_mem.cwl
    scatter: [reads_1, reads_2]
    scatterMethod: dotproduct
    in:
      reads_1: fastq_1_array
      reads_2: fastq_2_array
      reference: reference
    out: [bam]

Input File (Job)

# job.yaml
fastq_1:
  class: File
  path: data/sample1_R1.fq.gz
fastq_2:
  class: File
  path: data/sample1_R2.fq.gz
salmon_index:
  class: Directory
  path: ref/salmon_index
threads: 8

Secondary Files

inputs:
  bam:
    type: File
    secondaryFiles:
      - .bai
  reference:
    type: File
    secondaryFiles:
      - pattern: .fai
        required: true
      - pattern: .dict
        required: false

Docker and Singularity

requirements:
  DockerRequirement:
    dockerPull: quay.io/biocontainers/salmon:1.10.0--h7e5ed60_0

hints:
  SoftwareRequirement:
    packages:
      salmon:
        version: ["1.10.0"]
# Run with Docker
cwltool --docker workflow.cwl job.yaml

# Run with Singularity
cwltool --singularity workflow.cwl job.yaml

Resource Requirements

requirements:
  ResourceRequirement:
    coresMin: 4
    coresMax: 16
    ramMin: 8000
    ramMax: 32000
    outdirMin: 10000
    tmpdirMin: 10000

Conditional Steps

cwlVersion: v1.2
class: Workflow

requirements:
  InlineJavascriptRequirement: {}

inputs:
  run_qc: boolean
  fastq: File

steps:
  fastqc:
    run: fastqc.cwl
    when: $(inputs.run_qc)
    in:
      run_qc: run_qc
      fastq: fastq
    out: [html]

Subworkflows

# main.cwl
steps:
  qc_workflow:
    run: subworkflows/qc.cwl
    in:
      reads_1: fastq_1
      reads_2: fastq_2
    out: [qc_report, trimmed_1, trimmed_2]

  alignment_workflow:
    run: subworkflows/align.cwl
    in:
      reads_1: qc_workflow/trimmed_1
      reads_2: qc_workflow/trimmed_2
    out: [bam]

File Arrays and Directories

inputs:
  bam_files:
    type: File[]
  output_dir:
    type: string
    default: "results"

outputs:
  results:
    type: Directory
    outputBinding:
      glob: $(inputs.output_dir)

JavaScript Expressions

requirements:
  InlineJavascriptRequirement: {}

inputs:
  sample_name: string

outputs:
  output_bam:
    type: File
    outputBinding:
      glob: $(inputs.sample_name + ".sorted.bam")

arguments:
  - prefix: -o
    valueFrom: $(inputs.sample_name).sorted.bam

InitialWorkDirRequirement

requirements:
  InitialWorkDirRequirement:
    listing:
      - entry: $(inputs.reference)
        writable: false
      - entryname: config.txt
        entry: |
          threads=$(inputs.threads)
          memory=$(inputs.memory)

Complete RNA-seq Tool

# salmon_quant.cwl
cwlVersion: v1.2
class: CommandLineTool
baseCommand: [salmon, quant]

requirements:
  DockerRequirement:
    dockerPull: quay.io/biocontainers/salmon:1.10.0--h7e5ed60_0
  ResourceRequirement:
    coresMin: 8
    ramMin: 16000

inputs:
  index:
    type: Directory
    inputBinding:
      prefix: -i
  reads_1:
    type: File
    inputBinding:
      prefix: "-1"
  reads_2:
    type: File
    inputBinding:
      prefix: "-2"
  lib_type:
    type: string
    default: A
    inputBinding:
      prefix: -l
  threads:
    type: int
    default: 8
    inputBinding:
      prefix: --threads
  output_dir:
    type: string
    default: quant_output
    inputBinding:
      prefix: -o

outputs:
  quant_dir:
    type: Directory
    outputBinding:
      glob: $(inputs.output_dir)

Run Commands

# Validate CWL file
cwltool --validate workflow.cwl

# Run workflow
cwltool workflow.cwl job.yaml

# Run with Docker
cwltool --docker workflow.cwl job.yaml

# Run with Singularity
cwltool --singularity workflow.cwl job.yaml

# Run with caching
cwltool --cachedir ./cache workflow.cwl job.yaml

# Run on Toil
toil-cwl-runner workflow.cwl job.yaml

Execution Engines

EngineUse Case
cwltoolReference implementation, local execution
ToilHPC clusters, cloud (AWS, Google, Azure)
ArvadosEnterprise workflow management
CWL-AirflowAirflow integration

Related Skills

  • workflow-management/wdl-workflows - WDL alternative
  • workflow-management/snakemake-workflows - Python-based alternative
  • workflow-management/nextflow-pipelines - Groovy-based alternative

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm2-sequence-scoring. For QC thresholds, use protein-design-qc.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

See all skills by BioTender-max

Report a problem with this skill