পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| কপি নম্বর ভ্যারিয়েশন (CNV) বিশ্লেষণ× | এপিজিনোম-ওয়াইড অ্যাসোসিয়েশন স্টাডি (EWAS)× | |
|---|---|---|
| ক্ষেত্র | জৈব তথ্যবিজ্ঞান | জৈব তথ্যবিজ্ঞান |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1998–2006 | 2008–2011 (term and framework established c. 2011) |
| প্রবর্তক≠ | Pinkel et al. (array CGH); Redon et al. (genome-wide CNV map) | Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application |
| ধরন≠ | Genomic structural variant detection pipeline | Population-scale epigenomic association study |
| মৌলিক উৎস≠ | Redon, R., Ishikawa, S., Fitch, K. R., et al. (2006). Global variation in copy number in the human genome. Nature, 444(7118), 444–454. DOI ↗ | Rakyan, 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 ↗ |
| অপর নাম | CNV analysis, copy number variant detection, CNV calling, somatic copy number alteration analysis | EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study |
| সম্পর্কিত≠ | 6 | 5 |
| সারসংক্ষেপ≠ | Copy number variation (CNV) analysis is a genomic pipeline for detecting regions where individuals carry fewer or more copies of a DNA segment than the reference genome. CNVs span kilobases to megabases and are a major class of structural variation implicated in cancer, neurodevelopmental disorders, and population diversity. The pipeline typically processes SNP array intensities or read-depth signals from whole-genome sequencing, applies segmentation algorithms, calls gain and loss events, and annotates them against gene and clinical databases. | An 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. |
| ScholarGateডেটাসেট ↗ |
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