where to find full chromosomal genetic map dataset for ML project
I'll search for publicly available chromosomal genetic map datasets suitable for machine learning projects
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full chromosomal genetic map dataset download ML machine learning human genome genetic map dataset chromosome markers recombination genetic linkage map dataset GWAS machine learning open access 22 个结果
Here are the best sources for full chromosomal genetic map datasets suitable for ML projects, organized by type and accessibility:
1. Primary Repositories for Genetic Map Data
NCBI / dbSNP & dbVar
- dbSNP: Contains ~1 billion validated SNPs with chromosomal positions across human and model organisms
- dbVar: Structural variation data (CNVs, inversions, translocations) mapped to chromosomes
- Access: Free via FTP/API; supports VCF format for direct ML ingestion
- Best for: SNP-based genetic maps, GWAS training data
1000 Genomes Project
- Complete phased haplotype maps for 2,504 individuals across 26 populations
- Chromosome-level VCF files with recombination maps
- Best for: Population genetics ML, imputation models, ancestry prediction
HapMap Project
- Historic gold-standard for linkage disequilibrium (LD) maps
- Dense SNP maps with recombination rate estimates per chromosome
- Best for: LD-based feature selection, haplotype block modeling
2. Specialized Genetic Map Datasets
deCODE Genetic Map (Iceland)
- High-resolution recombination maps based on ~150,000 parent-child pairs
- ~1 cM resolution with sex-specific maps
- Access: Available through UCSC Genome Browser track or academic request
- Best for: Recombination hotspot prediction, crossover ML models
Marshfield Genetic Maps
- Sex-averaged, male, and female maps available
- Best for: Linkage analysis ML, pedigree-based models
3. GWAS & Summary Statistics Databases
GWAS Catalog (EBI)
- Downloadable as TSV/JSON; includes effect sizes, p-values, sample sizes
- Best for: Polygenic risk score (PRS) ML, disease prediction models
GWAS Atlas / Roslin Gene Atlas
- Best for: Cross-trait genetic correlation ML, multi-omics integration
OpenGWAS (UK Biobank)
- Full GWAS summary stats for ~10,000 traits (UK Biobank + FinnGen)
- API access via
gwasrapiddR package or direct download - Best for: Large-scale phenotype prediction, transfer learning
4. Model Organism Resources (for benchmarking)
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| Resource | Species | Content | Best For |
|---|---|---|---|
| FlyBase | D. melanogaster | Complete recombination maps, deletion maps | Algorithm validation |
| Mouse Genome Informatics | M. musculus | High-density linkage maps, QTL data | Cross-species ML |
| TAIR | A. thaliana | Chromosomal genetic maps, SNP arrays | Plant genetics ML |
| Gramene | Cereals, grasses | Comparative genetic maps | Agricultural ML |
5. Recommended ML-Ready Formats
For direct ML pipeline integration, prioritize datasets in:
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| Format | Use Case |
|---|---|
| VCF | Genotype matrices, variant calling |
| PLINK (.bed/.bim/.fam) | GWAS, population structure |
| HDF5 / Zarr | Large-scale phased haplotypes |
| BigWig | Continuous recombination rate tracks |
6. Getting Started: Quick Access Path
If you need a full chromosomal genetic map immediately:
- Human: Download chromosome-level VCFs from 1000 Genomes + recombination maps from HapMap
- Cross-species: Use Ensembl Comparative Genomics for synteny maps
- ML benchmark: The simulated F2 population dataset from the GWAS-ML comparison study (10 linkage groups, 4,010 SNPs) is available on Zenodo
Would you like specific download scripts, preprocessing pipelines, or guidance on which dataset fits your particular ML task (e.g., recombination prediction, QTL mapping, or structural variation detection)?
great. now walk me through the workflow. we need to connect the model to our PCR machine that will give sequence of nucleotides arrangement. the model then shows this sequence as color coded arrangement (for example showing adenine, thymine, guanine and cytosine as red, yellow, green and blue. uracil shows as brown for differentiating DNA from RNA strands) segmenting it based on function, mark the wrong or faulty consequence and suggest the correct sequence to solve the problem
I'll walk you through a complete workflow for your PCR-to-ML pipeline. This involves hardware integration, sequence analysis, and an interactive visualization interface.
System Architecture Overview
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┌─────────────┐ ┌─────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ PCR Machine │────▶│ Data Parser │────▶│ ML Analysis │────▶│ Interactive UI │
│ (Hardware) │ │ (.ab1/.scf) │ │ (Fault Detection│ │ (Color-Coded │
│ │ │ │ │ + Correction) │ │ Visualization)│
└─────────────┘ └─────────────┘ └─────────────────┘ └─────────────────┘Step 1: PCR Machine Data Connection
Hardware Interface Options
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| PCR Machine Brand | Output Format | Connection Method |
|---|---|---|
| Applied Biosystems | .ab1 (Sanger) | USB/Network → biopython |
| Illumina MiSeq | .fastq | API/Cloud → pysam |
| Nanopore MinION | .fast5 | USB/WiFi → ont_fast5_api |
| Generic Sanger | .scf | Serial/USB → biopython |
Python Data Acquisition Script
Python
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# pcr_connector.py
from Bio import SeqIO, Seq
import serial
import json
import asyncio
class PCRConnector:
def __init__(self, port='/dev/ttyUSB0', baudrate=9600):
self.port = port
self.baudrate = baudrate
self.color_map = {
'A': '#FF0000', # Adenine - Red
'T': '#FFD700', # Thymine - Yellow
'G': '#00FF00', # Guanine - Green
'C': '#0000FF', # Cytosine - Blue
'U': '#8B4513', # Uracil - Brown (RNA marker)
'N': '#808080', # Unknown - Gray
}
async def stream_from_pcr(self):
"""Real-time stream from PCR machine serial port"""
reader = await serial.aio.open_serial_connection(
url=self.port, baudrate=self.baudrate
)
buffer = ""
while True:
chunk = await reader.read(1024)
buffer += chunk.decode('utf-8')
if '\n' in buffer:
lines, buffer = buffer.rsplit('\n', 1)
for line in lines.split('\n'):
if line.strip():
yield self.parse_trace(line)
def parse_ab1(self, filepath):
"""Parse Applied Biosystems .ab1 trace file"""
record = SeqIO.read(filepath, 'abi')
sequence = str(record.seq)
# Extract chromatogram peaks for quality scores
annotations = record.annotations
return {
'sequence': sequence,
'quality': record.letter_annotations.get('phred_quality', []),
'peaks': annotations.get('abif_raw', {}),
'is_rna': 'U' in sequence
}
def parse_fastq(self, filepath):
"""Parse Illumina/Nanopore FASTQ"""
records = []
for record in SeqIO.parse(filepath, 'fastq'):
records.append({
'id': record.id,
'sequence': str(record.seq),
'quality': record.letter_annotations['phred_quality'],
'is_rna': 'U' in str(record.seq)
})
return recordsStep 2: ML Model for Fault Detection & Correction
Model Architecture
Python
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# sequence_analyzer.py
import torch
import torch.nn as nn
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import numpy as np
class SequenceFaultDetector(nn.Module):
def __init__(self, vocab_size=6, embed_dim=128, num_heads=8):
super().__init__()
self.embedding = nn.Embedding(vocab_size, embed_dim)
self.pos_encoder = PositionalEncoding(embed_dim)
# Transformer encoder for context-aware analysis
encoder_layer = nn.TransformerEncoderLayer(
d_model=embed_dim, nhead=num_heads,
dim_feedforward=512, batch_first=True
)
self.transformer = nn.TransformerEncoder(encoder_layer, num_layers=6)
# Multi-task heads
self.fault_classifier = nn.Linear(embed_dim, 5) # 0=normal, 1-4=fault types
self.correction_generator = nn.Linear(embed_dim, vocab_size)
self.function_segmenter = nn.Linear(embed_dim, 8) # 8 functional regions
def forward(self, x):
# x: (batch, seq_len) - tokenized nucleotide sequence
embedded = self.embedding(x)
encoded = self.pos_encoder(embedded)
features = self.transformer(encoded)
return {
'fault_probs': torch.softmax(self.fault_classifier(features), dim=-1),
'correction_logits': self.correction_generator(features),
'function_labels': torch.softmax(self.function_segmenter(features), dim=-1)
}
class PositionalEncoding(nn.Module):
def __init__(self, d_model, max_len=5000):
super().__init__()
position = torch.arange(max_len).unsqueeze(1)
div_term = torch.exp(torch.arange(0, d_model, 2) * (-np.log(10000.0) / d_model))
pe = torch.zeros(max_len, d_model)
pe[:, 0::2] = torch.sin(position * div_term)
pe[:, 1::2] = torch.cos(position * div_term)
self.register_buffer('pe', pe.unsqueeze(0))
def forward(self, x):
return x + self.pe[:, :x.size(1)]Fault Detection Logic
Python
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# fault_types.py
FAULT_TYPES = {
0: {'name': 'Normal', 'color': '#00FF00', 'severity': 0},
1: {'name': 'Point Mutation', 'color': '#FF6600', 'severity': 2,
'description': 'Single nucleotide substitution'},
2: {'name': 'Insertion', 'color': '#FF00FF', 'severity': 3,
'description': 'Extra nucleotide(s) inserted'},
3: {'name': 'Deletion', 'color': '#FF0000', 'severity': 3,
'description': 'Missing nucleotide(s)'},
4: {'name': 'Frameshift', 'color': '#8B0000', 'severity': 4,
'description': 'Disrupts reading frame - critical'},
5: {'name': 'Ambiguous/Base Call Error', 'color': '#808080', 'severity': 1,
'description': 'Low quality/confidence base call'}
}
FUNCTIONAL_REGIONS = {
0: {'name': 'Promoter', 'color': '#9932CC', 'start_codon': None},
1: {'name': '5\' UTR', 'color': '#20B2AA'},
2: {'name': 'Start Codon (ATG)', 'color': '#FF1493', 'critical': True},
3: {'name': 'Exon (Coding)', 'color': '#4169E1'},
4: {'name': 'Intron', 'color': '#DAA520'},
5: {'name': 'Splice Site', 'color': '#FF4500', 'critical': True},
6: {'name': 'Stop Codon', 'color': '#DC143C', 'critical': True},
7: {'name': '3\' UTR', 'color': '#20B2AA'},
8: {'name': 'Terminator', 'color': '#9932CC'}
}Step 3: Interactive Color-Coded Visualization (HTML/JS)
This is the core UI component that displays sequences with your specified color coding:
HTML
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Genetic Sequence Analyzer</title>
<style>
* { margin: 0; padding: 0; box-sizing: border-box; }
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background: #0a0a0f;
color: #e0e0e0;
min-height: 100vh;
}
.header {
background: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);
padding: 20px 40px;
border-bottom: 2px solid #0f3460;
}
.header h1 { color: #e94560; font-size: 28px; }
.header p { color: #a0a0a0; margin-top: 5px; }
.main-container {
display: flex;
gap: 20px;
padding: 20px;
max-width: 1600px;
margin: 0 auto;
}
/* SEQUENCE DISPLAY */
.sequence-panel {
flex: 2;
background: #1a1a2e;
border-radius: 12px;
padding: 20px;
border: 1px solid #0f3460;
}
.sequence-viewport {
overflow-x: auto;
padding: 20px 0;
}
.sequence-track {
display: flex;
gap: 2px;
min-width: max-content;
padding: 10px;
}
.nucleotide {
width: 32px;
height: 48px;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
border-radius: 6px;
font-weight: bold;
font-size: 16px;
cursor: pointer;
transition: all 0.2s;
position: relative;
border: 2px solid transparent;
}
.nucleotide:hover {
transform: translateY(-4px);
box-shadow: 0 4px 12px rgba(0,0,0,0.5);
z-index: 10;
}
.nucleotide.faulty {
border-color: #ff0040;
animation: pulse 1.5s infinite;
}
.nucleotide.corrected {
border-color: #00ff88;
animation: glow 2s infinite;
}
@keyframes pulse {
0%, 100% { box-shadow: 0 0 0 0 rgba(255,0,64,0.4); }
50% { box-shadow: 0 0 0 8px rgba(255,0,64,0); }
}
@keyframes glow {
0%, 100% { box-shadow: 0 0 5px #00ff88; }
50% { box-shadow: 0 0 20px #00ff88, 0 0 40px #00ff88; }
}
.nucleotide .base { font-size: 18px; }
.nucleotide .index { font-size: 9px; opacity: 0.6; margin-top: 2px; }
/* COLOR CODING */
.A { background: linear-gradient(180deg, #ff4444 0%, #cc0000 100%); color: white; }
.T { background: linear-gradient(180deg, #ffdd44 0%, #ffaa00 100%); color: #1a1a2e; }
.G { background: linear-gradient(180deg, #44ff44 0%, #00cc00 100%); color: #1a1a2e; }
.C { background: linear-gradient(180deg, #4444ff 0%, #0000cc 100%); color: white; }
.U { background: linear-gradient(180deg, #cd853f 0%, #8b4513 100%); color: white; } /* Brown for RNA */
.N { background: linear-gradient(180deg, #888888 0%, #555555 100%); color: white; }
/* FUNCTIONAL SEGMENTS */
.segment-bar {
display: flex;
height: 24px;
border-radius: 4px;
overflow: hidden;
margin: 10px 0;
position: relative;
}
.segment {
height: 100%;
display: flex;
align-items: center;
justify-content: center;
font-size: 10px;
font-weight: bold;
color: white;
text-shadow: 0 1px 2px rgba(0,0,0,0.5);
cursor: pointer;
transition: opacity 0.2s;
}
.segment:hover { opacity: 0.8; }
.segment-label {
position: absolute;
top: -20px;
font-size: 11px;
color: #a0a0a0;
white-space: nowrap;
}
/* FAULT PANEL */
.fault-panel {
flex: 1;
background: #1a1a2e;
border-radius: 12px;
padding: 20px;
border: 1px solid #0f3460;
max-height: 80vh;
overflow-y: auto;
}
.fault-card {
background: #0f0f23;
border-radius: 8px;
padding: 15px;
margin-bottom: 12px;
border-left: 4px solid;
transition: transform 0.2s;
}
.fault-card:hover { transform: translateX(5px); }
.fault-card.critical { border-left-color: #ff0040; }
.fault-card.warning { border-left-color: #ffaa00; }
.fault-card.info { border-left-color: #00aaff; }
.fault-header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 8px;
}
.fault-type { font-weight: bold; font-size: 14px; }
.fault-position { color: #888; font-size: 12px; }
.fault-sequence {
font-family: 'Courier New', monospace;
background: #0a0a1a;
padding: 10px;
border-radius: 4px;
margin: 8px 0;
font-size: 13px;
}
.fault-sequence .highlight-wrong {
background: #ff0040;
color: white;
padding: 1px 3px;
border-radius: 2px;
}
.fault-sequence .highlight-correct {
background: #00ff88;
color: #1a1a2e;
padding: 1px 3px;
border-radius: 2px;
font-weight: bold;
}
.suggestion-box {
background: #0f3460;
border-radius: 6px;
padding: 10px;
margin-top: 8px;
}
.suggestion-box h4 { color: #00ff88; margin-bottom: 5px; font-size: 12px; }
.suggestion-box p { font-size: 13px; line-height: 1.5; }
/* LEGEND */
.legend {
display: flex;
gap: 20px;
padding: 15px;
background: #0f0f23;
border-radius: 8px;
margin-bottom: 15px;
flex-wrap: wrap;
}
.legend-item {
display: flex;
align-items: center;
gap: 8px;
font-size: 13px;
}
.legend-color {
width: 20px;
height: 20px;
border-radius: 4px;
border: 1px solid #444;
}
/* CONTROLS */
.controls {
display: flex;
gap: 10px;
margin-bottom: 15px;
}
.btn {
padding: 8px 16px;
border: none;
border-radius: 6px;
cursor: pointer;
font-size: 13px;
font-weight: 600;
transition: all 0.2s;
}
.btn-primary {
background: #e94560;
color: white;
}
.btn-primary:hover { background: #ff6b6b; }
.btn-secondary {
background: #0f3460;
color: #e0e0e0;
}
.btn-secondary:hover { background: #1a4a7a; }
/* QUALITY GRAPH */
.quality-track {
height: 60px;
background: #0a0a1a;
border-radius: 4px;
margin: 5px 0;
position: relative;
overflow: hidden;
}
.quality-bar {
position: absolute;
bottom: 0;
width: 30px;
background: linear-gradient(180deg, #00ff88 0%, #ffaa00 50%, #ff0040 100%);
border-radius: 2px 2px 0 0;
transition: height 0.3s;
}
/* TOOLTIP */
.tooltip {
position: absolute;
background: #0f0f23;
border: 1px solid #e94560;
border-radius: 8px;
padding: 12px;
z-index: 1000;
max-width: 300px;
display: none;
box-shadow: 0 8px 32px rgba(0,0,0,0.5);
}
.tooltip h4 { color: #e94560; margin-bottom: 5px; }
.tooltip p { font-size: 12px; line-height: 1.5; color: #ccc; }
</style>
</head>
<body>
<div class="header">
<h1>🔬 Genetic Sequence Analyzer</h1>
<p>Real-time PCR integration • ML-powered fault detection • Interactive visualization</p>
</div>
<div class="main-container">
<!-- LEFT: Sequence Visualization -->
<div class="sequence-panel">
<div class="legend">
<div class="legend-item">
<div class="legend-color" style="background: #ff4444;"></div>
<span><b>A</b>denine (Red)</span>
</div>
<div class="legend-item">
<div class="legend-color" style="background: #ffdd44;"></div>
<span><b>T</b>hymine (Yellow)</span>
</div>
<div class="legend-item">
<div class="legend-color" style="background: #44ff44;"></div>
<span><b>G</b>uanine (Green)</span>
</div>
<div class="legend-item">
<div class="legend-color" style="background: #4444ff;"></div>
<span><b>C</b>ytosine (Blue)</span>
</div>
<div class="legend-item">
<div class="legend-color" style="background: #cd853f;"></div>
<span><b>U</b>racil (Brown — RNA)</span>
</div>
</div>
<div class="controls">
<button class="btn btn-primary" onclick="connectPCR()">🔗 Connect PCR</button>
<button class="btn btn-secondary" onclick="analyzeSequence()">🔍 Analyze</button>
<button class="btn btn-secondary" onclick="showCorrections()">✓ Show Corrections</button>
<button class="btn btn-secondary" onclick="exportReport()">📄 Export</button>
</div>
<!-- Functional Segments Bar -->
<div style="margin-bottom: 5px; font-size: 12px; color: #888;">Functional Regions:</div>
<div class="segment-bar" id="segmentBar"></div>
<!-- Quality Track -->
<div style="margin-bottom: 5px; font-size: 12px; color: #888;">Quality Scores (Phred):</div>
<div class="quality-track" id="qualityTrack"></div>
<!-- Main Sequence -->
<div class="sequence-viewport">
<div class="sequence-track" id="sequenceTrack"></div>
</div>
<!-- Position ruler -->
<div id="positionRuler" style="font-family: monospace; font-size: 10px; color: #555; margin-top: 5px;"></div>
</div>
<!-- RIGHT: Fault Analysis Panel -->
<div class="fault-panel">
<h3 style="color: #e94560; margin-bottom: 15px;">⚠️ Detected Faults</h3>
<div id="faultList"></div>
</div>
</div>
<div class="tooltip" id="tooltip"></div>
<script>
// ============================================
// SAMPLE DATA (Replace with PCR stream)
// ============================================
const sampleSequence = {
sequence: "ATGCGATCGATCGTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTAGCTA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