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| Phylogenetic Analysis× | eQTL 분석× | |
|---|---|---|
| 분야 | 생물정보학 | 생물정보학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1960s-1981 (distance trees ~1967; ML framework formalised 1981) | 2001 (term coined); widely adopted after 2005 |
| 창시자≠ | Joseph Felsenstein (maximum likelihood framework); Walter Fitch and Emanuel Margoliash (distance methods) | Ritsert C. Jansen & Jan-Peter Nap |
| 유형≠ | Computational inference method | Association mapping method |
| 원전≠ | Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates. ISBN: 978-0878931774 | Jansen, R. C., & Nap, J.-P. (2001). Genetical genomics: the added value from segregation. Trends in Genetics, 17(7), 388–391. DOI ↗ |
| 별칭 | molecular phylogenetics, phylogenetic inference, evolutionary tree reconstruction, phylogenomics | eQTL mapping, expression QTL analysis, transcriptomic QTL analysis, eQTL study |
| 관련≠ | 5 | 6 |
| 요약≠ | Phylogenetic analysis reconstructs the evolutionary history of organisms, genes, or proteins by comparing molecular sequence data and estimating the branching tree that best explains observed similarities and differences. Rooted in the work of Felsenstein and colleagues from the 1960s onward, it is a cornerstone technique in evolutionary biology, microbiology, epidemiology, and comparative genomics, supporting tasks from tracing viral outbreak origins to classifying novel species. | eQTL analysis identifies genomic loci (variants, typically SNPs) whose genotype statistically associates with variation in the expression level of one or more genes. By jointly profiling DNA-level variation and RNA-level expression in the same individuals, eQTL studies decode the regulatory grammar of the genome — revealing which variants control how much a gene is transcribed, in which tissues, and under what conditions. |
| ScholarGate데이터셋 ↗ |
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