Genetic Simulation Resources: A website for the registration and discovery of genetic data simulators

Bo Peng, Huann Sheng Chen, Leah E. Mechanic, Ben Racine, John Clarke, Lauren Clarke, Elizabeth Gillanders, Eric J. Feuer

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1101-1102
Number of pages2
JournalBioinformatics
Volume29
Issue number8
DOIs
StatePublished - Apr 15 2013

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

MD Anderson CCSG core facilities

  • Bioinformatics Shared Resource

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