import { GeneAssembly } from '../../types';
export interface GenomicAnalysisResult {
id: string;
assemblyId: string;
timestamp: string;
metrics: {
geneExpression: number[];
regulatoryElements: string[];
pathwayEnrichment: {
pathway: string;
score: number;
}[];
structuralVariants: {
type: string;
position: number;
impact: number;
}[];
};
predictions: {
phenotype: string;
probability: number;
confidence: number;
}[];
}
export class GenomicAnalysisPipeline {
// Simulated quantum-enhanced analysis
static async analyzeGeneAssembly(assembly: GeneAssembly): Promise<GenomicAnalysisResult> {
// Simulate processing time
await new Promise(resolve => setTimeout(resolve, 2000));
const mockPathways = [
'Photosynthesis',
'Stress Response',
'Growth Regulation',
'Nutrient Uptake',
'Secondary Metabolism'
];
return {
id: Math.random().toString(36).substr(2, 9),
assemblyId: assembly.id,
timestamp: new Date().toISOString(),
metrics: {
geneExpression: Array(10).fill(0).map(() => Math.random() * 2), // Fold change values
regulatoryElements: [
'Promoter_Region_1',
'Enhancer_Element_A',
'Silencer_Region_B',
'TATA_Box_Modified'
],
pathwayEnrichment: mockPathways.map(pathway => ({
pathway,
score: Math.random() * 0.5 + 0.5 // Score between 0.5 and 1.0
})),
structuralVariants: Array(3).fill(0).map(() => ({
type: ['Insertion', 'Deletion', 'Inversion'][Math.floor(Math.random() * 3)],
position: Math.floor(Math.random() * 1000000),
impact: Math.random()
}))
},
predictions: [
{
phenotype: 'Drought Resistance',
probability: Math.random() * 0.3 + 0.7, // High probability 0.7-1.0
confidence: Math.random() * 0.2 + 0.8 // High confidence 0.8-1.0
},
{
phenotype: 'Growth Rate',
probability: Math.random() * 0.4 + 0.6,
confidence: Math.random() * 0.3 + 0.7
},
{
phenotype: 'Yield Improvement',
probability: Math.random() * 0.5 + 0.5,
confidence: Math.random() * 0.4 + 0.6
}
]
};
}
}