ArticleBioinformatics (Oxford, England)2019
QuantiNemo 2: a Swiss knife to simulate complex demographic and genetic scenarios, forward and backward in time.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Bridging tradition and innovation: a review of computer simulations in plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Translocated populations are genetically similar to natural populations and populations resulting from natural colonizations.PloS one · 2026Article
- A method for identifying local adaptation in structured populations.PLoS genetics · 2025Article
- A Guide for Developing Demo-Genetic Models to Simulate Genetic Rescue.Evolutionary applications · 2025Article
- Population Genetics Meets Ecology: A Guide to Individual-Based Simulations in Continuous Landscapes.Ecology and evolution · 2025Article
- Genetic and geographical insights call for early conservation of Mae Hong Son's blue mahseer to prevent population crisis.PloS one · 2025Article
- Mapping seasonal migration in a songbird hybrid zone -- heritability, genetic correlations, and genomic patterns linked to speciation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- STUN: forward-time simulation on TUnable fitNess landscapes in recombining populations.Bioinformatics advances · 2023Article
- Rank-invariant estimation of inbreeding coefficients.Heredity · 2022Article
- AdmixSim 2: a forward-time simulator for modeling complex population admixture.BMC bioinformatics · 2021Article
- Detecting Selection from Linked Sites Using anGenetics · 2020Article
- Quantifying the individual impact of artificial barriers in freshwaters: A standardized and absolute genetic index of fragmentation.Evolutionary applications · 2020Article
- Harnessing paleo-environmental modeling and genetic data to predict intraspecific genetic structure.Evolutionary applications · 2020Article
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Authors and funding
3 authors.
Funding
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Abstract
summaryQuantiNemo 2 is a stochastic simulation program for quantitative population genetics. It was developed to investigate the effects of selection, mutation, recombination and drift on quantitative traits and neutral markers in structured populations connected by migration and located in heterogeneous habitats. A specific feature is that it allows to switch between an individual-based full-featured mode and a population-based faster mode. Several demographic, genetic and selective parameters can be fine-tuned in QuantiNemo 2: population, selection, trait(s) architecture, genetic map for QTL and/or markers, environment, demography and mating system are the main features. AVAILABILITY AND IMPLEMENTATION: QuantiNemo 2 is a C++ program with a source code available under the GNU General Public License version 3. Executables are provided for Windows, MacOS and Linux platforms, together with a comprehensive manual and tutorials illustrating its flexibility. The executable, manual and tutorial can be found on the website www2.unil.ch/popgen/softwares/quantinemo/, while the source code and user support are given through GitHub: github.com/jgx65/quantinemo. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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