ArticleBioinformatics (Oxford, England)2013
Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators.
Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- HAP-SAMPLE2: data-based resampling for association studies with admixture.Bioinformatics (Oxford, England) · 2025Article
- Cgsim: An R Package for Simulation of Population Genetics for Conservation and Management Applications.Molecular ecology resources · 2025Article
- Geonomics: Forward-Time, Spatially Explicit, and Arbitrarily Complex Landscape Genomic Simulations.Molecular biology and evolution · 2021Article
- On the application, reporting, and sharing of in silico simulations for genetic studies.Genetic epidemiology · 2021Review
- A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing.F1000Research · 2021Article
- SELVa: Simulator of evolution with landscape variation.PloS one · 2020Article
- QuantiNemo 2: a Swiss knife to simulate complex demographic and genetic scenarios, forward and backward in time.Bioinformatics (Oxford, England) · 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
- Metapop: An individual-based model for simulating the evolution of tree populations in spatially and temporally heterogeneous landscapes.Molecular ecology resources · 2019Article
- SANTA-SIM: simulating viral sequence evolution dynamics under selection and recombination.Virus evolution · 2019Article
- skelesim: an extensible, general framework for population genetic simulation in R.Molecular ecology resources · 2017Article
- Evaluation of breeding strategies for polledness in dairy cattle using a newly developed simulation framework for quantitative and Mendelian traits.Genetics, selection, evolution : GSE · 2016Article
- GESDB: a platform of simulation resources for genetic epidemiology studies.Database : the journal of biological databases and curation · 2016Article
- Clotho: addressing the scalability of forward time population genetic simulation.BMC bioinformatics · 2015Article
- SimBA: simulation algorithm to fit extant-population distributions.BMC bioinformatics · 2015Article
- Genetic simulation tools for post-genome wide association studies of complex diseases.Genetic epidemiology · 2015Article
- Genetic data simulators and their applications: an overview.Genetic epidemiology · 2015Article
- Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.Genetic epidemiology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
summaryMany simulation methods and programs have been developed to simulate genetic data of the human genome. These data have been widely used, for example, to predict properties of populations retrospectively or prospectively according to mathematically intractable genetic models, and to assist the validation, statistical inference and power analysis of a variety of statistical models. However, owing to the differences in type of genetic data of interest, simulation methods, evolutionary features, input and output formats, terminologies and assumptions for different applications, choosing the right tool for a particular study can be a resource-intensive process that usually involves searching, downloading and testing many different simulation programs. Genetic Simulation Resources (GSR) is a website provided by the National Cancer Institute (NCI) that aims to help researchers compare and choose the appropriate simulation tools for their studies. This website allows authors of simulation software to register their applications and describe them with well-defined attributes, thus allowing site users to search and compare simulators according to specified features. AVAILABILITY: http://popmodels.cancercontrol.cancer.gov/gsr.
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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.