SNSA
SNSA constructs supernetworks by integrating multiple partial phylogenetic trees using simulated annealing to produce a network that summarizes diverse phylogenetic evidence.
Key Features:
- Simulated annealing algorithm: Uses simulated annealing to explore network search space and optimize network topology.
- Optimization function: Applies a designed optimization function to guide the search toward solutions that balance parsimony and information retention.
- Integration of partial phylogenetic trees: Combines multiple partial trees into a single supernetwork that summarizes input relationships.
- Exploration of network configurations: Evaluates alternative network configurations during optimization to identify improved summaries of input trees.
- Retention-versus-simplicity balance: Explicitly aims to retain critical phylogenetic information while producing a simplified network representation.
- Support for real and simulated datasets: Accepts input datasets derived from both real and simulated sources for supernetwork construction.
- Facilitates analysis and visualization: Produces supernetworks intended for downstream analysis and visualization of complex evolutionary relationships.
Scientific Applications:
- Supernetwork construction: Building comprehensive supernetworks from collections of partial phylogenetic trees derived from real or simulated data.
- Reconciliation of phylogenetic evidence: Summarizing and reconciling diverse phylogenetic signals produced by different methods or datasets.
- Analysis of complex evolutionary relationships: Enabling study of reticulate or otherwise non-tree-like evolutionary patterns not easily captured by single trees.
- Evolutionary biology research: Supporting investigations that integrate multiple lines of phylogenetic evidence to infer species- or gene-level relationships.
Methodology:
SNSA employs simulated annealing guided by an explicit optimization function to explore and evaluate alternative network configurations, seeking networks that balance simplicity with retention of phylogenetic information.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Hassanzadeh R, Eslahchi C, Sung W. Constructing phylogenetic supernetworks based on simulated annealing. Molecular Phylogenetics and Evolution. 2012;63(3):738-744. doi:10.1016/j.ympev.2012.02.009. PMID:22426435.
PMID: 22426435