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.
PMID: 16830091