Сравнение методов

	Сетевой анализ разнообразия микробиома	Филогенетический анализ
Область	Биоинформатика	Биоинформатика
Семейство	Process / pipeline	Process / pipeline
Год появления	2012	1960s-1981 (distance trees ~1967; ML framework formalised 1981)
Автор метода	Faust, Raes, Friedman, Alm and colleagues	Joseph Felsenstein (maximum likelihood framework); Walter Fitch and Emanuel Margoliash (distance methods)
Тип	Integrative bioinformatics pipeline	Computational inference method
Основополагающий источник	Friedman, J., & Alm, E. J. (2012). Inferring correlation networks from genomic survey data. PLoS Computational Biology, 8(9), e1002687.	Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates. ISBN: 978-0878931774
Другие названия	microbial co-occurrence network analysis, microbiome network ecology, ecological network-based diversity, NBMDA	molecular phylogenetics, phylogenetic inference, evolutionary tree reconstruction, phylogenomics
Связанные	5	5
Сводка	Network-based microbiome diversity analysis integrates graph-theoretic co-occurrence network inference with classical alpha- and beta-diversity metrics to characterize the structural organization of microbial communities. Rather than treating taxa as independent entities, the method models pairwise microbial associations as edges in a network, enabling identification of keystone taxa, community modules, and ecological interaction patterns that simple diversity indices cannot detect.	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.