Bio workflows tcr pipeline
Skill FridrichMethod/awesome-skills/skills/bio-workflows-tcr-pipeline
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.From its SKILL.md
npx -y skills add FridrichMethod/awesome-skills --skill bio-workflows-tcr-pipelineAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
2.0 KB, 480 tokens by cl100k_base, as published. Nobody here has run it
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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
What ships with it: 2 files
3.7 KB alongside SKILL.md, 1 of them executable
examples/
- tcr_full_pipeline.shruns2.1 KB
- usage-guide.md1.6 KB