ReviewNature reviews. Genetics2012
Computer simulations: tools for population and evolutionary genetics.
Review in Nature reviews. Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
107 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
- e3SIM: Epidemiological-ecological-evolutionary simulation framework for genomic epidemiology.Methods in ecology and evolution · 2026Article
- Article
- Human ancestries simulation and inference: a review of ancestral recombination graph-based approaches.Frontiers in bioinformatics · 2026Review
- Teaching the laboratory assessment of neutrophil chemotaxis: a simulation-based approach for undergraduate immunology.ImmunoHorizons · 2025Article
- Article
- Fast simulation of identity-by-descent segments.Bulletin of mathematical biology · 2025Article
- Cgsim: An R Package for Simulation of Population Genetics for Conservation and Management Applications.Molecular ecology resources · 2025Article
- Enhancing Student Comprehension of Paternity Assignment in Molecular Primatology: A Pilot Study Using a Shiny Web Application in Kenya.American journal of primatology · 2025Article
- Optimization of Microsatellite Multiplex PCRs for Triploidy Verification and Genetic Diversity Assessment in the Pacific Oyster, Crassostrea gigas.Marine biotechnology (New York, N.Y.) · 2025Article
- Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations.Genetics · 2025Article
- Fast simulation of identity-by-descent segments.bioRxiv : the preprint server for biology · 2025Article
- Performance assessment of phylogenetic inference tools using PhyloSmew.Bioinformatics advances · 2025Article
- TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution.Bioinformatics advances · 2025Article
- Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025Review
- Dealing With the Complexity of Effective Population Size in Conservation Practice.Evolutionary applications · 2024Article
- Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations.bioRxiv : the preprint server for biology · 2024Article
- Population genetic simulation: Benchmarking frameworks for non-standard models of natural selection.Molecular ecology resources · 2024Article
- Selection among site-dependent structurally constrained substitution models of protein evolution by approximate Bayesian computation.Bioinformatics (Oxford, England) · 2024Article
- Article
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes whose interactions cannot be analytically predicted. Simulations have traditionally been used in population genetics by a fairly small community with programming expertise, but the recent availability of dozens of sophisticated, customizable software packages for simulation now makes simulation an accessible option for researchers in many fields. The in silico genetic data produced by simulations, along with greater availability of population-genomics data, are transforming genetic epidemiology, anthropology, evolutionary and population genetics and conservation. In this Review of the state-of-the-art of simulation software, we identify applications of simulations, evaluate simulator capabilities, provide a guide for their use and summarize future directions.
Indexed as
Identifiers
22230817What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.