simuCC: A simulated case-control sample.
In genMOSS: Functions for the Bayesian Analysis of GWAS Data
Description
Usage
Source
References
Description
The data was simulated using code from the simuPOP cookbook on simupop.sourceforge.net. It is a sample of 1000 cases and 1000 controls from a simulated but realistic population. It contains the genotype information at 6000 diallelic SNPs (i.e. SNPs with three categories) and the disease status for each individual (which is the last column). The markers 'rs4491689' and 'rs6869003' are associated with the disease.
Usage
1
Source
The python code for simulating the data is example2.py on http://simupop.sourceforge.net/cookbook/pmwiki.php/Cookbook/SimuGWAS. See the references for more information on how the data were generated.
References
[1] Peng, B. and Amos, C. (2010). Forward-time simulation of realistic samples for genome-wide association studies. BMC Bioinformatics, 11, 442-453.
[2] Peng, B. and Kimmel, M. (2005). simuPOP: a forward-time population genetics simulation environment. Bioinformatics, 21, 3686-3687.
genMOSS documentation built on May 2, 2019, 2:31 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Source References
Description
The data was simulated using code from the simuPOP cookbook on simupop.sourceforge.net. It is a sample of 1000 cases and 1000 controls from a simulated but realistic population. It contains the genotype information at 6000 diallelic SNPs (i.e. SNPs with three categories) and the disease status for each individual (which is the last column). The markers 'rs4491689' and 'rs6869003' are associated with the disease.
Usage
1 |
Source
The python code for simulating the data is example2.py on http://simupop.sourceforge.net/cookbook/pmwiki.php/Cookbook/SimuGWAS. See the references for more information on how the data were generated.
References
[1] Peng, B. and Amos, C. (2010). Forward-time simulation of realistic samples for genome-wide association studies. BMC Bioinformatics, 11, 442-453.
[2] Peng, B. and Kimmel, M. (2005). simuPOP: a forward-time population genetics simulation environment. Bioinformatics, 21, 3686-3687.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.