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README.md ADDED
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+ # ChIP-seq / Epigenômica — Dados Brutos Reais (2026-08-16)
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+
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+ Dataset público com dados REAIS de ChIP-seq/epigenômica, baixados do Kaggle (datasets de terceiros) em 2026-08-16.
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+ Destino: aprendizado do OmniMind (Kernel Basal) + cruzamento topológico (nós/arestas), independente da informação.
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+
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+ ## Proveniência (transparência total)
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+
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+ | Arquivo | Origem (Kaggle) | Conteúdo | Tamanho |
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+ | --- | --- | --- | --- |
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+ | corruption-in-india.zip | `usharengaraju/corruption-in-india` ("ChIP-seq data for the histone H3 - H3K27ac", Tensor Girl, 2020) | FASTQ brutos de ChIP-seq H3K27ac (SRR066766, SRR066767, SRR066787 — runs SRA reais) | 1.85 GB (5.7 GB descomprimido) |
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+ | hela-h3k27ac.zip | `lunarlit/hela-h3k27ac` (2026) | `h3k27ac_tracks3.npy` — tracks de H3K27ac HeLa | 303 kB |
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+ | chromatin-immunoprecipitation-sequencing.zip | `willianoliveiragibin/chromatin-immunoprecipitation-sequencing` (2025) | ChIP-seq (CSV) | 2.2 MB |
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+ | epigenomics-chromatin-analysis-gse47753.zip | `mannekuntanagendra/epigenomics-chromatin-analysis-gse47753` (2025) | ATAC-seq GM12878 GSE47753 (BED + CSV + notebook) | 4.8 MB |
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+ | epigenomic-analysis-imr90-dnase-seq-gsm468792.zip | `mannekuntanagendra/epigenomic-analysis-imr90-dnase-seq-gsm468792` (2025) | DNase-seq IMR90 GSM468792 | 176 kB |
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+ | beneficiary-schemes-for-indian-women.zip | `usharengaraju/beneficiary-schemes-for-indian-women` ("Androgen Receptor ChIP-seq Peaks", Tensor Girl, 2020) | Peaks de Androgen Receptor ChIP-seq | 434 kB |
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+
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+ ## Notas
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+ - Nenhum dado foi gerado/simulado por script — todos são downloads reais com provenance declarada.
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+ - Checksums: SHA-256 de cada zip no manifest (a adicionar).
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+ - Subset ENCODE (bigWig de histonas) a ser adicionado (em download).
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+
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+ Regra do ecossistema (AGENTS.md, 2026-08-16): dados simulados NUNCA são apresentados como empíricos.
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