ArticleGenetic epidemiology2015
Genetic data simulators and their applications: an overview.
Article in Genetic epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Accurate Predictive Modeling of Conservation Status in Animal Species Using Supervised Learning.Ecology and evolution · 2025Article
- Cgsim: An R Package for Simulation of Population Genetics for Conservation and Management Applications.Molecular ecology resources · 2025Article
- Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations.Genetics · 2025Article
- GWASBrewer: An R Package for Simulating Realistic GWAS Summary Statistics.Genetic epidemiology · 2025Article
- Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations.bioRxiv : the preprint server for biology · 2024Article
- Optimal adjustment sets for causal query estimation in partially observed biomolecular networks.Bioinformatics (Oxford, England) · 2023Article
- Efficient ancestry and mutation simulation with msprime 1.0.Genetics · 2022Article
- Widespread interspecific phylogenetic tree incongruence between mosquito-borne and insect-specific flaviviruses at hotspots originally identified in Zika virus.Virus evolution · 2022Article
- On the application, reporting, and sharing of in silico simulations for genetic studies.Genetic epidemiology · 2021Review
- Review: Balancing Selection for Deleterious Alleles in Livestock.Frontiers in genetics · 2021Review
- Simulation of Chordate Intron Evolution Using Randomly Generated and Mutated Base Sequences.Evolutionary bioinformatics online · 2020Article
- isqg: A Binary Framework forG3 (Bethesda, Md.) · 2019Article
- Genetic Simulation Resources and the GSR Certification Program.Bioinformatics (Oxford, England) · 2019Article
- sim1000G: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs.BMC bioinformatics · 2019Article
- SANTA-SIM: simulating viral sequence evolution dynamics under selection and recombination.Virus evolution · 2019Article
- Analysis validation has been neglected in the Age of Reproducibility.PLoS biology · 2018Article
- GESDB: a platform of simulation resources for genetic epidemiology studies.Database : the journal of biological databases and curation · 2016Article
- Population genetic simulations of complex phenotypes with implications for rare variant association tests.Genetic epidemiology · 2015Article
- Reproducible simulations of realistic samples for next-generation sequencing studies using Variant Simulation Tools.Genetic epidemiology · 2015Article
- Genetic simulation tools for post-genome wide association studies of complex diseases.Genetic epidemiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Computer simulations have played an indispensable role in the development and applications of statistical models and methods for genetic studies across multiple disciplines. The need to simulate complex evolutionary scenarios and pseudo-datasets for various studies has fueled the development of dozens of computer programs with varying reliability, performance, and application areas. To help researchers compare and choose the most appropriate simulators for their studies, we have created the genetic simulation resources (GSR) website, which allows authors of simulation software to register their applications and describe them with more than 160 defined attributes. This article summarizes the properties of 93 simulators currently registered at GSR and provides an overview of the development and applications of genetic simulators. Unlike other review articles that address technical issues or compare simulators for particular application areas, we focus on software development, maintenance, and features of simulators, often from a historical perspective. Publications that cite these simulators are used to summarize both the applications of genetic simulations and the utilization of simulators.
Indexed as
Identifiers
What Socratic 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 Socratic graph.