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Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators
Summary: Many 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 t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624809/ https://www.ncbi.nlm.nih.gov/pubmed/23435068 http://dx.doi.org/10.1093/bioinformatics/btt094 |
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author | Peng, Bo Chen, Huann-Sheng Mechanic, Leah E. Racine, Ben Clarke, John Clarke, Lauren Gillanders, Elizabeth Feuer, Eric J. |
author_facet | Peng, Bo Chen, Huann-Sheng Mechanic, Leah E. Racine, Ben Clarke, John Clarke, Lauren Gillanders, Elizabeth Feuer, Eric J. |
author_sort | Peng, Bo |
collection | PubMed |
description | Summary: Many 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. Contact: gsr@mail.nih.gov |
format | Online Article Text |
id | pubmed-3624809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36248092013-04-12 Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators Peng, Bo Chen, Huann-Sheng Mechanic, Leah E. Racine, Ben Clarke, John Clarke, Lauren Gillanders, Elizabeth Feuer, Eric J. Bioinformatics Applications Notes Summary: Many 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. Contact: gsr@mail.nih.gov Oxford University Press 2013-04-15 2013-02-23 /pmc/articles/PMC3624809/ /pubmed/23435068 http://dx.doi.org/10.1093/bioinformatics/btt094 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Peng, Bo Chen, Huann-Sheng Mechanic, Leah E. Racine, Ben Clarke, John Clarke, Lauren Gillanders, Elizabeth Feuer, Eric J. Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators |
title | Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators |
title_full | Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators |
title_fullStr | Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators |
title_full_unstemmed | Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators |
title_short | Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators |
title_sort | genetic simulation resources: a website for the registration and discovery of genetic data simulators |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624809/ https://www.ncbi.nlm.nih.gov/pubmed/23435068 http://dx.doi.org/10.1093/bioinformatics/btt094 |
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