bio-workflows-tcr-pipeline
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The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/bio-workflows-tcr-pipeline/SKILL.md and read by ahel’s review.
name: bio-workflows-tcr-pipeline description: End-to-end TCR/BCR repertoire analysis from FASTQ to clonotype diversity metrics. Use when analyzing immune repertoire sequencing data from bulk or single-cell experiments. tool_type: cli primary_tool: MiXCR measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
TCR/BCR Analysis Pipeline
Pipeline Overview
FASTQ → MiXCR align → Assemble → Export → VDJtools diversity → Visualization
Step 1: MiXCR Processing
# Align reads to V(D)J segments
mixcr align -s hsa -p rna-seq \
R1.fastq.gz R2.fastq.gz \
aligned.vdjca
# Assemble clonotypes
mixcr assemble aligned.vdjca clones.clns
# Export
mixcr exportClones clones.clns clones.txt
Step 2: VDJtools Analysis
# Convert to VDJtools format
vdjtools Convert -S mixcr clones.txt vdjtools/
# Diversity metrics
vdjtools CalcDiversityStats vdjtools/clones.txt diversity/
# Sample overlap
vdjtools CalcPairwiseDistances vdjtools/*.txt overlap/
Step 3: Visualization
# Spectratype plot
vdjtools PlotFancySpectratype vdjtools/clones.txt spectra/
# V usage
vdjtools PlotFancyVJUsage vdjtools/clones.txt usage/
QC Checkpoints
- After alignment: Check V/J assignment rate (>70% typical)
- After assembly: Verify clonotype count and coverage
- After diversity: Compare metrics to expected range
Related Skills
- tcr-bcr-analysis/mixcr-analysis - Detailed MiXCR usage
- tcr-bcr-analysis/vdjtools-analysis - Diversity metrics
- tcr-bcr-analysis/repertoire-visualization - Plots
Signals
- GitHub stars
- 3k
- Forks
- 412
- Last commit
- Jul 2026
Advanced
- Item type
- skill
- Key
bio-workflows-tcr-pipeline- Source
- github.com/freedomintelligence/openclaw-medical-skills
github.com/freedomintelligence/openclaw-medical-skills
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