CoreSimul
CoreSimul simulates prokaryotic genome evolution with explicit modeling of homologous recombination.
Key Features:
- Forward-Time Simulation: Operates as a forward-in-time simulator tailored to prokaryotic populations, in contrast to coalescent-based approaches that often assume neutral evolution.
- Homologous Recombination Modeling: Explicitly models homologous recombination processes that differ from meiotic recombination in sexual organisms.
- Phylogenetic Tree-Guided Simulations: Uses phylogenetic trees to guide simulations and incorporate evolutionary relationships and historical context.
- Substitution Models (including codon selection): Implements various nucleotide and codon-aware substitution models, including models that account for codon selection.
- Flexibility and Adaptability: Supports simulation scenarios under strong selective pressures to model diverse prokaryotic evolutionary dynamics.
Scientific Applications:
- Recombination Impact Studies: Analyze the effects of homologous recombination on genomic variation and lineage relationships in prokaryotes.
- Core Genome Evolution: Simulate evolution of core genomes within phylogenetic frameworks to study divergence and conservation patterns.
- Model Evaluation and Selection Studies: Compare the effects of different substitution models, including codon-selection models, on inferred evolutionary outcomes and adaptive mechanisms.
Methodology:
Forward-time population simulation with explicit homologous recombination, phylogenetic tree-guided sequence evolution, and implementation of multiple substitution models including codon-selection-aware models.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/17/2021
Operations
Publications
Bobay L. CoreSimul: a forward-in-time simulator of genome evolution for prokaryotes modeling homologous recombination. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-03619-x. PMID:32580695. PMCID:PMC7315543.
PMID: 32580695
PMCID: PMC7315543
Funding: - Division of Environmental Biology: NSF DEB-1831730
- National Institute of General Medical Sciences: R01GM132137