On the inference of complex phylogenetic networks by Markov Chain Monte-Carlo

On the inference of complex phylogenetic networks by Markov Chain Monte-Carlo

For various species, high quality sequences and complete genomes are nowadays available for many individuals. This makes data analysis challenging, as methods need not only to be accurate, but also time efficient given the tremendous amount of data to process. In this article, we introduce an effici...

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Bibliographic Details
Main Authors: Berry, V. (Author), Glaszmann, J.-C (Author), Pardi, F. (Author), Rabier, C.-E (Author), Santos, J.D (Author), Scornavacca, C. (Author), Stoltz, M. (Author), Wang, W. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
algorithm
Algorithms
allele
article
Bayes theorem
Bayes Theorem
Bayesian network
biology
classification
Computational Biology
Evolution, Molecular
Genes, Plant
genetics
heart
horizontal gene transfer
introgression
Likelihood Functions
Markov chain
Markov Chains
molecular evolution
Monte Carlo method
Monte Carlo Method
nonhuman
Oryza
phylogenetic tree
phylogeny
Phylogeny
plant gene
procedures
rice
simulation
software
statistical model
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