Softparsmap

SoftParsMap maps gene trees onto species trees using a soft parsimony approach to minimize inferred gene duplication and loss events and reconcile conflicting gene tree topologies.


Key Features:

  • Soft Parsimony Algorithm: Implements a soft parsimony algorithm that minimizes inferred gene duplications and losses while accommodating uncertainty in tree topology.
  • Mapping Gene Trees to Species Trees: Maps multiple gene trees onto a species tree to reconcile conflicting evolutionary histories across loci.
  • Rooting of Unrooted Trees: Roots unrooted gene trees to establish the directionality of evolutionary events.
  • Removal of In-Paralogues: Identifies and removes in-paralogues (lineage-specific duplicates) to reduce misleading redundancy in analyses.
  • Handling Uncertain Branches: Modifies or collapses weakly supported or uncertain branches to improve phylogenetic signal.
  • Implementation: Implemented as a Java-based software package.

Scientific Applications:

  • Phylogenetics: Constructing species trees from multiple gene trees to infer speciation and gene duplication events.
  • Evolutionary Biology: Characterizing the evolutionary dynamics of gene families, including the impact of gene duplication and loss on lineage diversification.
  • Genomics: Resolving ambiguities in gene tree topologies to provide accurate phylogenetic frameworks for comparative genomic analyses across species.

Methodology:

Performs soft parsimony by minimizing inferred gene duplication and loss events while mapping gene trees onto a species tree, including rooting unrooted gene trees, identifying and removing in-paralogues, and modifying weakly supported branches.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Java
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Berglund-Sonnhammer A, Steffansson P, Betts MJ, Liberles DA. Optimal Gene Trees from Sequences and Species Trees Using a Soft Interpretation of Parsimony. Journal of Molecular Evolution. 2006;63(2):240-250. doi:10.1007/s00239-005-0096-1. PMID:16830091.

Documentation

Links