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| -× | RNA-seq Differential Expression× | |
|---|---|---|
| Oblast | Bioinformatika | Bioinformatika |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 2009–2011 | 2008–2010 (RNA-seq DE methodology established) |
| Tvorac≠ | Rakyan, Down, Balding & Beck (2011); Irizarry group for differential methylation methods (~2009–2014) | Multiple groups; foundational methods from Anders & Huber (DESeq, 2010), Robinson, McCarthy & Smyth (edgeR, 2010) |
| Tip≠ | Comparative epigenome-wide analysis | Quantitative genomics pipeline |
| Temeljni izvor≠ | 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. link ↗ | Love, M. I., Huber, W., & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology, 15(12), 550. DOI ↗ |
| Drugi nazivi | Differential EWAS, comparative EWAS, epigenome-wide differential methylation analysis, EWAS differential design | RNA-seq DE analysis, transcriptomic differential expression, bulk RNA-seq DE, DEA |
| Srodne | 6 | 6 |
| Sažetak≠ | A Differential Epigenome-Wide Association Study (Differential EWAS) scans hundreds of thousands of CpG methylation sites across the genome to identify those whose methylation levels differ significantly between two or more comparison groups — such as cases vs. controls, exposed vs. unexposed, or distinct developmental stages. It is the standard epigenomic analogue of a differential expression analysis but operates at the level of DNA methylation marks rather than RNA counts. | RNA-seq differential expression (DE) analysis identifies genes whose transcript abundance differs significantly between two or more biological conditions — for example, treated versus control, or diseased versus healthy tissue. Starting from raw sequencing reads, the pipeline moves through alignment, count-based normalization, statistical modeling of count dispersion, hypothesis testing, and multiple-testing correction to produce a ranked list of differentially expressed genes accompanied by fold-change estimates and adjusted p-values. |
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