ArticleBioinformatics (Oxford, England)2017
GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data.
Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 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
- Generating realistic artificial human genomes using adversarial autoencoders.NAR genomics and bioinformatics · 2025Article
- rBahadur: efficient simulation of structured high-dimensional genotype data with applications to assortative mating.BMC bioinformatics · 2023Article
- Assortative mating biases marker-based heritability estimators.Nature communications · 2022Article
- AdmixSim 2: a forward-time simulator for modeling complex population admixture.BMC bioinformatics · 2021Article
- Estimation of Parental Effects Using Polygenic Scores.Behavior genetics · 2021Article
- PGsim: A Comprehensive and Highly Customizable Personal Genome Simulator.Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
motivationComputer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes that cannot be analytically predicted and for creating realistic genetic data. There are many software packages that simulate genetic data, but they are typically not fast or memory efficient enough to simulate realistic, individual-level genome-wide SNP/sequence data.
resultsGeneEvolve is a user-friendly and efficient population genetics simulator that handles complex evolutionary and life history scenarios and generates individual-level phenotypes and realistic whole-genome sequence or SNP data. GeneEvolve runs forward-in-time, which allows it to provide a wide range of scenarios for mating systems, selection, population size and structure, migration, recombination and environmental effects. The software is designed to use as input data from real or previously simulated phased haplotypes, allowing it to mimic very closely the properties of real genomic data. AVAILABILITY AND IMPLEMENTATION: GeneEvolve is freely available at https://github.com/rtahmasbi/GeneEvolve CONTACT: Rasool.Tahmasbi@Colorado.eduSupplementary information: Supplementary data are available at Bioinformatics online.
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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.