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एपिजिनोम-वाइड एसोसिएशन स्टडी (EWAS)×ChIP-seq पीक कॉलिंग×
क्षेत्रजैव सूचना विज्ञानजैव सूचना विज्ञान
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष2008–2011 (term and framework established c. 2011)2007–2008
प्रवर्तकRakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale applicationJohnson et al. (ChIP-seq concept, 2007); Zhang et al. (MACS algorithm, 2008)
प्रकारPopulation-scale epigenomic association studyComputational genomics pipeline
मौलिक स्रोतRakyan, V. K., Down, T. A., Balding, D. J., & Beck, S. (2011). Epigenome-wide association studies for common human diseases. Nature Reviews Genetics, 12(8), 529–541. DOI ↗Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., & Liu, X. S. (2008). Model-based analysis of ChIP-seq (MACS). Genome Biology, 9(9), R137. DOI ↗
उपनामEWAS, methylome-wide association study, epigenetic association study, DNA methylation association studyChIP-seq analysis, peak detection, MACS peak calling, ChIP peak identification
संबंधित56
सारांशAn epigenome-wide association study (EWAS) is a hypothesis-free, genome-scale method that systematically tests whether epigenetic marks — predominantly CpG-site DNA methylation — differ between individuals with and without a trait, disease, or exposure. By scanning hundreds of thousands of genomic positions simultaneously, EWAS identifies loci where the epigenome is reproducibly associated with a phenotype, offering a layer of biological regulation that classical GWAS does not capture.ChIP-seq peak calling is a computational pipeline that identifies genomic regions where a protein of interest — a transcription factor or histone modification — is enriched, based on sequencing reads from chromatin immunoprecipitation experiments. It converts raw sequencing data into a set of high-confidence binding or modification sites across the genome, enabling downstream analysis of gene regulation, chromatin state, and epigenetic mechanisms.
ScholarGateडेटासेट
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  3. PUBLISHED

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