copheism
copheism simulates continuous, dichotomous, and survival phenotypes from genotype datasets to enable testing and validation of genome-wide association study (GWAS) methods.
Key Features:
- Phenotype simulation: Generates continuous, dichotomous, and survival phenotypes from existing genotype data.
- Integration with genetic simulators: Adds phenotype information to genotype data previously generated by other genetic simulators.
- GWAS-compatible outputs: Produces phenotype outputs that can be directly used as inputs for genome-wide association study tools.
Scientific Applications:
- Data substitution for missing empirical sets: Provides phenotypic data when empirical phenotype–genotype datasets are unavailable.
- Method development and validation: Enables testing and validation of statistical models and algorithms used in GWAS under controlled conditions.
- Hypothesis testing and exploration: Supports exploration of genetic associations and controlled hypothesis testing by simulating specific phenotype scenarios.
Methodology:
Integrates simulated genotype data with algorithmically generated phenotype information, supporting continuous, dichotomous, and survival phenotypes.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Shell, R, Python
- Added:
- 8/17/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Zhbannikov IY, Arbeev KG, Yashin AI. cophesim: A comprehensive phenotype simulator for testing novel association methods. F1000Research. 2017;6:1294. doi:10.12688/f1000research.11968.1. PMID:28979766. PMCID:PMC5605948.
Funding: - National Institute on Aging: P01AG043352, P30AG034424, R01AG046860
Downloads
- Software packagehttps://bitbucket.org/izhbannikov/cophesim/downloads/