Archcode Genomics

Name: Archcode Genomics
Author: sergeeey

ASecurity

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Added September 2, 2026

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Scanned September 2, 2026

npx -y skills add sergeeey/Claude-cod-top-2026 --skill archcode-genomics --agent claude-code

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SKILL.md

<!-- BSV — Brief Skill View | поиск: BSV
Скил   : archcode-genomics
TL;DR  : Патогенность геномных вариантов (биоинформатика)
Вызов  : 'геномный анализ', 'archcode'
НЕ для : Клинические решения
-->

---
name: archcode-genomics
description: >
  [STATUS: review] [CONFIDENCE: high] [REVIEWED: 2026-03-13]
  USE when working with genomic data, variant analysis, or chromatin structure.
  Triggers: ClinVar, chromatin, variant, extrusion, loop, locus, HBB, SpliceAI,
  pathogenicity, genomics, ARCHCODE, structural variant, pearl.
paths: "**/*variant*,**/*vcf*,**/*clinvar*,**/*extrusion*,**/*chromatin*"
effort: max
---

# ARCHCODE Genomics Skill

## Project Context
ARCHCODE is a physics-based method for predicting pathogenicity of non-coding variants through simulation of chromatin loop extrusion. It detects "pearl variants" — variants invisible to sequence-based methods (VEP, CADD, SpliceAI).

## Key Data
- **9 validated loci:** HBB, HBA, BCL11A, CTCF-rich, GATA1, beta-globin LCR, SHH-ZRS, SOX9-KCNJ, MYC-TAD
- **# YOUR_VARIANT_COUNT ClinVar variants** analyzed
- **# YOUR_PEARL_COUNT pearl variants** detected (pathogenic, invisible to VEP/SpliceAI)

## Pearl Variant — Definition
A variant that:
1. VEP = benign/modifier (not pathogenic)
2. SpliceAI delta = 0 (no splicing effect)
3. MPRA enrichment = null (no functional data)
4. BUT: disrupts 3D chromatin structure (CTCF binding, loop anchor, TAD boundary)

## Pipeline
```
ClinVar VCF → VEP annotation → SpliceAI filtering →
ARCHCODE simulation (loop extrusion) →
Structural impact scoring → Pearl detection
```

## Competitors (for Discussion section)
- **ncVarPred-1D3D** (PMID 37669132) — sequence + 3D, but without ClinVar pearl detection
- **PRISMR** (PMID 29662163) — polymer modeling, but without clinical validation
- **Sei** — sequence-only, does not see structural blind spots

## MCP Servers
Switch to SCIENCE profile: `switch-profile.ps1 science`
- ncbi-datasets: gene info, sequences
- uniprot: protein features, variants, domains
- pubmed-mcp: literature search

## Gotchas
- VEP/CADD miss non-coding variants — always check 3D chromatin context
- Pearl variants require loop extrusion simulation — sequence-only methods fail