Porovnat metody
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| Síťová fylogenetická analýza× | Multi-omics Phylogenetic Analysis× | |
|---|---|---|
| Obor | Bioinformatika | Bioinformatika |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1992–2004 (foundational algorithms); broader development 1990s–2010s | Late 1990s–2000s (genome-scale; multi-omics integration ~2010s) |
| Tvůrce≠ | Hans-Jürgen Bandelt & Andreas Dress (split decomposition); David Bryant & Vincent Moulton (Neighbor-Net) | Hedges, Kumar, Philippe and colleagues (phylogenomics pioneers, late 1990s–2000s) |
| Typ≠ | Computational phylogenetic method | Computational phylogenetic inference pipeline |
| Původní zdroj≠ | 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. link ↗ | Delsuc, F., Brinkmann, H., & Philippe, H. (2005). Phylogenomics and the reconstruction of the tree of life. Nature Reviews Genetics, 6(5), 361–375. DOI ↗ |
| Další názvy | phylogenetic network, reticulate phylogenetics, split network analysis, evolutionary network inference | phylogenomics, multi-omic phylogenetics, integrative phylogenomics, omics-based phylogenetics |
| Příbuzné≠ | 6 | 0 |
| Shrnutí≠ | 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. | Multi-omics phylogenetic analysis reconstructs evolutionary relationships among organisms by integrating sequence data from multiple molecular layers — genomes, transcriptomes, and proteomes — rather than relying on a single marker gene. By combining thousands of orthologous loci across omics layers, the approach dramatically reduces stochastic error, resolves ancient divergences that single-gene trees cannot, and yields a far more robust and well-supported topology of the tree of life or a focal clade. |
| ScholarGateDatová sada ↗ |
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