Analyze genetic variants using the RNAcube framework
🔬 Key Insight
This tool demonstrates how RNAcube analysis reduces complex genetic variant assessment to simple integer comparisons. Instead of parsing codon strings and complex amino acid property tables, pathogenicity prediction becomes elementary arithmetic: |47 - 23| = 24, and 24 ≥ 16 = HIGH RISK.
⚠️ Research Tool Disclaimer
This tool implements experimental thresholds based on RNAcube constraint analysis. The author is not a clinical expert, and these severity thresholds may require further fine-tuning with larger clinical datasets and expert validation. Predictive utility: Assess pathogenicity from codon coordinates alone, without knowing protein structure or function. Universal applicability: The framework works across multiple genes (BRCA1/2, TP53, MLH1, MSH2) and mutation types. Quantitative precision: The coordinate distances correlate with experimental measures of variant impact - Not pattern-finding.
Input Data
Format: RefCodon AltCodon [Gene] [Description]
Analysis Summary
Total Variants0
0
Very High Risk
0
High Risk
0
Moderate
0
Low Risk
Plane Crossers0
Domain Crossers0
Avg ΔCA0
Analysis Results
ℹ️
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