Comparar métodos

	Análise Filogenética Baseada em Redes	Alinhamento de Sequências
Área	Bioinformática	Bioinformática
Família	Process / pipeline	Process / pipeline
Ano de origem	1992–2004 (foundational algorithms); broader development 1990s–2010s	1970 (global alignment); 1981 (local alignment)
Autor original	Hans-Jürgen Bandelt & Andreas Dress (split decomposition); David Bryant & Vincent Moulton (Neighbor-Net)	Saul B. Needleman & Christian D. Wunsch (global); Temple F. Smith & Michael S. Waterman (local)
Tipo	Computational phylogenetic method	Computational sequence analysis technique
Fonte seminal	Bandelt, H.-J., & Dress, A. W. M. (1992). Split decomposition: A new and useful approach to phylogenetic analysis of distance data. Molecular Phylogenetics and Evolution, 1(3), 242–252.	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.
Outros nomes	phylogenetic network, reticulate phylogenetics, split network analysis, evolutionary network inference	pairwise alignment, multiple sequence alignment, MSA, sequence comparison
Relacionados	6	6
Resumo	Network-based phylogenetic analysis constructs graph-structured representations of evolutionary relationships that explicitly accommodate reticulate events — including hybridization, horizontal gene transfer, recombination, and incomplete lineage sorting — which strictly bifurcating phylogenetic trees cannot represent. Instead of forcing sequences into a single bifurcating tree, the method infers splits or reticulations in the data and visualises them as a network, revealing conflicting phylogenetic signals that are biologically informative.	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.