LNETWORK

LNETWORK constructs phylogenetic networks from rooted phylogenetic trees to represent reticulate evolutionary histories such as hybridization, horizontal gene transfer, and recombination.

Key Features:

• Generalization Beyond Trees: Represents reticulate evolutionary processes including hybridization, horizontal gene transfer, and recombination that cannot be captured by rooted phylogenetic trees.
• Improved Algorithm Efficiency: Implements algorithmic improvements based on the Cass algorithm to increase computational efficiency for large datasets and networks with many reticulate nodes.
• Reduced Sensitivity to Input Order: Mitigates the influence of input tree order on resulting networks, producing more stable and simpler networks than Cass under varying input orders.
• Conflict Integration: Integrates conflicting clusters arising from different genes or datasets into a single phylogenetic network.
• Simplicity and Clarity: Constructs networks that are simpler than those produced by many other methods, facilitating interpretation of complex evolutionary relationships.

Scientific Applications:

• Hybridization Studies: Modeling and analysis of hybridization events between species or populations.
• Horizontal Gene Transfer Research: Studying gene flow across distantly related organisms via horizontal gene transfer.
• Recombination Analysis: Investigating recombination events that contribute to genetic diversity and evolutionary histories.

Methodology:

LNETWORK accepts a set of rooted phylogenetic trees in Newick format and constructs a phylogenetic network by integrating conflicting clusters; its algorithmic approach builds on the Cass algorithm to handle reticulate nodes efficiently.