Abstract
With recent explosion in the diversity and volume of genetic data generated, an increasing number of genetic simulation programs have been developed to aid the development of statistical methods for the analysis of such data in all genetic-related disciplines (Escalona et al., 2016; Hoban et al., 2012; Peng et al., 2015; Ritchie and Bush, 2010). Despite the recognized importance of genetic simulation tools, it is often difficult to discover and select the right simulation tool for a particular study due to differences in the type of genetic data of interest, simulation methods, features, terminologies and assumptions (Mechanic et al., 2012), and lack of external evaluations of the usability and maintenance status of published simulators. To address these issues, we want to encourage use of the Genetic Simulation Resources (GSR) online catalog and search tool (https://popmodels.cancercontrol.cancer.gov/gsr/) and participation in the GSR Certification Program.
Original language | English (US) |
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Pages (from-to) | 709-710 |
Number of pages | 2 |
Journal | Bioinformatics |
Volume | 35 |
Issue number | 4 |
DOIs | |
State | Published - Feb 15 2019 |
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