Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Sep;142(3):291-299. doi: 10.1007/s12064-023-00401-4. Epub 2023 Jul 29.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales muc...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Jul 29. doi: 10.1007/s12064-023-00401-4. Online ahead of print.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much great...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Jul 29. doi: 10.1007/s12064-023-00401-4. Online ahead of print.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much great...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Jul 29. doi: 10.1007/s12064-023-00401-4. Online ahead of print.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much great...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Jul 29. doi: 10.1007/s12064-023-00401-4. Online ahead of print.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much great...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Jul 29. doi: 10.1007/s12064-023-00401-4. Online ahead of print.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much great...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Jul 29. doi: 10.1007/s12064-023-00401-4. Online ahead of print.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much great...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Jul 29. doi: 10.1007/s12064-023-00401-4. Online ahead of print.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much great...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
The emergence of dynamic networks from many coupled polar oscillators: a paradigm for artificial life
Theory Biosci. 2023 Jul 29. doi: 10.1007/s12064-023-00401-4. Online ahead of print.ABSTRACTThis work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much great...
Source: Theory in Biosciences - July 29, 2023 Category: Biology Authors: Alessandro Scir è Valerio Annovazzi-Lodi Source Type: research
