SimRVSequences
SimRVSequences simulates genetic sequence data in pedigrees to generate realistic, scalable datasets that reflect familial genetic variation.
Key Features:
- Simulation of Single-Nucleotide Variants (SNVs): SimRVSequences simulates large numbers of SNVs across individuals within pedigrees.
- Scalability: The tool handles increasing numbers of pedigrees and large SNV sets for extensive family-based studies.
- Input Flexibility: Accepts user-provided pedigrees and SNV data from unrelated individuals to inform simulations and model genetic heterogeneity.
Scientific Applications:
- Genetic linkage analysis: Produces simulated pedigree sequence data for studying inheritance patterns and linkage.
- Association mapping: Enables evaluation of association methods using simulated sequence variation in families.
- Investigation of hereditary diseases: Facilitates analysis of disease segregation and variant effects within familial contexts.
- Method validation and experimental design: Provides simulated datasets for validating analytical methods and designing family-based genetic studies.
Methodology:
Employs algorithms to simulate genetic sequence data using input pedigrees and SNV data from unrelated individuals to model genetic heterogeneity across family groups.
Topics
Details
- License:
- GPL-2.0
- Programming Languages:
- R
- Added:
- 1/14/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Nieuwoudt C, Brooks-Wilson A, Graham J. SimRVSequences: an R package to simulate genetic sequence data for pedigrees. Bioinformatics. 2019;36(7):2295-2297. doi:10.1093/bioinformatics/btz881. PMID:31764964. PMCID:PMC7141864.
PMID: 31764964
PMCID: PMC7141864
Funding: - Natural Science and Engineering Research Council of Canada: RGPIN-2018-04296
- Canadian Statistical Sciences Institute: CTRMS-342085-2014
- Canadian Institutes of Health Research: MOP-130311