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