Cargando…
A divide-and-conquer method for scalable phylogenetic network inference from multilocus data
MOTIVATION: Reticulate evolutionary histories, such as those arising in the presence of hybridization, are best modeled as phylogenetic networks. Recently developed methods allow for statistical inference of phylogenetic networks while also accounting for other processes, such as incomplete lineage...
Autores principales: | Zhu, Jiafan, Liu, Xinhao, Ogilvie, Huw A, Nakhleh, Luay K |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612858/ https://www.ncbi.nlm.nih.gov/pubmed/31510688 http://dx.doi.org/10.1093/bioinformatics/btz359 |
Ejemplares similares
-
Robust network inference using response logic
por: Gross, Torsten, et al.
Publicado: (2019) -
Large-scale inference of competing endogenous RNA networks with sparse partial correlation
por: List, Markus, et al.
Publicado: (2019) -
hicGAN infers super resolution Hi-C data with generative adversarial networks
por: Liu, Qiao, et al.
Publicado: (2019) -
TreeMerge: a new method for improving the scalability of species tree estimation methods
por: Molloy, Erin K, et al.
Publicado: (2019) -
Inferring signalling dynamics by integrating interventional with observational data
por: Cardner, Mathias, et al.
Publicado: (2019)