Agent skill · Data & Analytics

bio-variant-calling-structural-variant-calling

Call structural variants (SVs) from short-read sequencing using Manta, Delly, and LUMPY. Detects deletions, insertions, inversions, duplications, and translocations that are too large for standard SNV callers. Use when detecting structural variants from short-read data.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-variant-calling-structural-variant-calling --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/bio-variant-calling-structural-variant-calling/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: bcftools 1.19+, samtools 1.19+ 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. # Structural Variant Calling (Short Reads) **"Call structural variants from my WGS data"** → Detect large genomic rearrangements (deletions, insertions, inversions, duplications, translocations) using split-read and discordant-pair evidence. - CLI: `configManta.py` (Manta), `delly call`, `lumpyexpress`/`smoove call` ## Manta (Recommended) ```bash # Configure Manta run (creates runWorkflow.py) configManta.py \ --bam sample.bam \ --referenceFasta reference.fa \ --runDir manta_run # Execute manta_run/runWorkflow.py -j 8 # Output: manta_run/results/variants/ # - diploidSV.vcf.gz (germline SVs) # - candidateSV.vcf.gz (all candidates) # - candidateSmallIndels.vcf.gz (small indels) ``` ## Manta Tumor-Normal Mode ```bash # Somatic SV calling configManta.py \ --tumorBam tumor.bam \ --normalBam normal.bam \

What's inside
Steps it walks through
  1. Version Compatibility
  2. Manta (Recommended)
  3. Manta Tumor-Normal Mode
  4. Manta Options
  5. Delly
  6. Delly Somatic Mode
  7. Delly SV Types
  8. LUMPY
  9. Smoove (LUMPY Wrapper)
  10. Merge Multiple Callers
  11. Filter SV Calls
  12. Annotate SVs
  13. SV Types
  14. Comparison: Manta vs Delly vs LUMPY
Ships with 2 files
  • examples/call_svs.sh
  • usage-guide.md
Commands it runs
Configure Manta run (creates runWorkflow.py)
configManta.py \
Execute
manta_run/runWorkflow.py -j 8
Somatic SV calling
manta_somatic/runWorkflow.py -j 8
Output includes:
WES mode (for exome data)
RNA-seq mode
Call SVs
More from OpenClaw-Medical-Skills
All skills →
About this skill
What does the bio-variant-calling-structural-variant-calling skill do?

Call structural variants (SVs) from short-read sequencing using Manta, Delly, and LUMPY. Detects deletions, insertions, inversions, duplications, and translocations that are too large for standard SNV callers. Use when detecting structural variants from short-read data.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-variant-calling-structural-variant-calling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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