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.

Documentation

Links