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Вирівнювання послідовностей×Філогенетичний аналіз×
ГалузьБіоінформатикаБіоінформатика
РодинаProcess / pipelineProcess / pipeline
Рік появи1970 (global alignment); 1981 (local alignment)1960s-1981 (distance trees ~1967; ML framework formalised 1981)
Автор методуSaul 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)
ТипComputational sequence analysis techniqueComputational inference method
Основоположне джерелоNeedleman, 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
Інші назвиpairwise alignment, multiple sequence alignment, MSA, sequence comparisonmolecular phylogenetics, phylogenetic inference, evolutionary tree reconstruction, phylogenomics
Пов'язані65
ПідсумокSequence 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.
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ScholarGateПорівняння методів: Sequence Alignment · Phylogenetic Analysis. Отримано 2026-06-15 з https://scholargate.app/uk/compare