Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Выравнивание последовательностей× | Филогенетический анализ× | |
|---|---|---|
| Область | Биоинформатика | Биоинформатика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1970 (global alignment); 1981 (local alignment) | 1960s-1981 (distance trees ~1967; ML framework formalised 1981) |
| Автор метода≠ | Saul B. Needleman & Christian D. Wunsch (global); Temple F. Smith & Michael S. Waterman (local) | Joseph Felsenstein (maximum likelihood framework); Walter Fitch and Emanuel Margoliash (distance methods) |
| Тип≠ | Computational sequence analysis technique | Computational inference method |
| Основополагающий источник≠ | Needleman, S. B., & Wunsch, C. D. (1970). A general method applicable to the search for similarities in the amino acid sequence of two proteins. Journal of Molecular Biology, 48(3), 443–453. DOI ↗ | Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates. ISBN: 978-0878931774 |
| Другие названия | pairwise alignment, multiple sequence alignment, MSA, sequence comparison | molecular phylogenetics, phylogenetic inference, evolutionary tree reconstruction, phylogenomics |
| Связанные≠ | 6 | 5 |
| Сводка≠ | Sequence alignment is a foundational bioinformatics technique that arranges two or more DNA, RNA, or protein sequences to reveal regions of similarity, infer evolutionary relationships, identify functional domains, and map sequencing reads to reference genomes. It underpins virtually every downstream genomic analysis, from variant calling and gene expression quantification to phylogenetics and structural annotation. | 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. |
| ScholarGateНабор данных ↗ |
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