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fix: correct portal stats, remove DIA from quantms, fix duplicate pub
- portal-stats.json: updated to actual numbers (252 datasets, 4 collections, 633K proteins, 500M PSMs) — was showing stale seed values - tools.html: quantms description now DDA-only (removed "and DIA"), DIA is handled by quantmsdiann - publications.html: removed Arecco et al. duplicate from Team tab (it's an external paper, stays in "Using quantms" tab only). Count 8→7. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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data/portal-stats.json

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{
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"generated_at": "2026-04-10T00:00:00Z",
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"datasets": 57,
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"collections": 3,
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"workflows": 4,
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"quant_methods": 6,
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"organisms": 5,
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"proteins": 42000,
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"peptides": 890000,
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"psms": 45000000,
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"generated_at": "2026-04-11T00:00:00Z",
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"datasets": 252,
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"collections": 4,
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"organisms": 10,
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"proteins": 633719,
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"psms": 500511663,
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"source": "portal.quantms.org"
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}

publications.html

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<input type="radio" name="pub-tabs" id="tab-using">
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<div class="tab-labels">
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<label for="tab-team">Team Publications (8)</label>
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<label for="tab-team">Team Publications (7)</label>
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<label for="tab-using">Using quantms (5)</label>
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</div>
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</div>
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<a href="https://doi.org/10.1016/j.jprot.2025.105440" class="pub-list-link" target="_blank" rel="noopener">View &rarr;</a>
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</li>
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<li class="pub-list-item">
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<span class="pub-year-badge">2024</span>
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<div class="pub-list-info">
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<h4>Alternative splicing decouples local from global PRC2 activity</h4>
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<p class="pub-list-authors">Arecco N, et al.</p>
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<p class="pub-list-journal"><em>Molecular Cell,</em> 84(6):1049-1061.e8.</p>
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</div>
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<a href="https://doi.org/10.1016/j.molcel.2024.02.011" class="pub-list-link" target="_blank" rel="noopener">View &rarr;</a>
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</li>
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<li class="pub-list-item">
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<span class="pub-year-badge">2024</span>
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<div class="pub-list-info">

tools.html

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<div class="tool-card-header" style="background: #409eff;">quantms</div>
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<div class="tool-card-body">
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<h3>quantms</h3>
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<p class="tool-desc">A cloud-ready Nextflow pipeline for quantitative proteomics: DDA label-free, TMT/iTRAQ, and DIA workflows in a single framework.</p>
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<p class="tool-desc">A cloud-ready Nextflow pipeline for DDA quantitative proteomics: label-free (LFQ) and isobaric labeling (TMT/iTRAQ) workflows.</p>
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<div class="tool-install"><span class="prompt">$</span> <span class="cmd">nextflow run bigbio/quantms -profile docker</span></div>
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<ul class="tool-features">
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<li>DDA-LFQ and DDA-ISO (TMT/iTRAQ) workflows in one pipeline</li>

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