Real or imputed high-density SNP genotypes are routinely used for genomic prediction and genome-wide association studies. Many researchers are moving towards the use of actual or imputed next generation sequence data in whole-genome analyses. Simulation studies are useful to mimic complex scenarios and test different analytical methods. We have developed a software tool XSim to efficiently simulate sequence data in descendants in arbitrary pedigrees. In this software, a strategy to drop down origins and positions of chromosomal segments rather than every allele state is implemented to simulate sequence data and accommodate complicated pedigree structures across multiple generations. Both C++ and Julia versions of XSim have been developed
Background: Statistical geneticists employ simulation to estimate the power of proposed studies, tes...
Background The field of population genetics use the genetic composition of populations to study the ...
Highly accurate genotyping is essential for genomic projects aimed at understanding the etiology of ...
Real or imputed high-density SNP genotypes are routinely used for genomic prediction and genome-wide...
High-density real or imputed SNP genotypes are now routinely used for genomic prediction and genome-...
Genomic simulations are an important technique used in population genetics to infer demographic hist...
Simulation can be an efficient approach to design, evaluate, and optimize breeding programs. In the ...
Summary: GWAsimulator implements a rapid moving-window algorithm to simulate genotype data for case-...
The past decade’s progress in next generation sequencing has drastically decreased the price of whol...
gs pa d to th, M for decades. Recently, many novel findings in genomic Implementation Zhang et al. B...
Motivation: Most population genetic simulators fall into one of two classes, backward time simulator...
Stochastic simulation is a key tool in population genetics, since the models involved are often anal...
Genetic simulation programs are used to model data under specified assumptions to facilitate the und...
Simulation studies in population genetics play an important role in helping to better understand the...
Computational genomics involves the development and application of computational methods for whole-g...
Background: Statistical geneticists employ simulation to estimate the power of proposed studies, tes...
Background The field of population genetics use the genetic composition of populations to study the ...
Highly accurate genotyping is essential for genomic projects aimed at understanding the etiology of ...
Real or imputed high-density SNP genotypes are routinely used for genomic prediction and genome-wide...
High-density real or imputed SNP genotypes are now routinely used for genomic prediction and genome-...
Genomic simulations are an important technique used in population genetics to infer demographic hist...
Simulation can be an efficient approach to design, evaluate, and optimize breeding programs. In the ...
Summary: GWAsimulator implements a rapid moving-window algorithm to simulate genotype data for case-...
The past decade’s progress in next generation sequencing has drastically decreased the price of whol...
gs pa d to th, M for decades. Recently, many novel findings in genomic Implementation Zhang et al. B...
Motivation: Most population genetic simulators fall into one of two classes, backward time simulator...
Stochastic simulation is a key tool in population genetics, since the models involved are often anal...
Genetic simulation programs are used to model data under specified assumptions to facilitate the und...
Simulation studies in population genetics play an important role in helping to better understand the...
Computational genomics involves the development and application of computational methods for whole-g...
Background: Statistical geneticists employ simulation to estimate the power of proposed studies, tes...
Background The field of population genetics use the genetic composition of populations to study the ...
Highly accurate genotyping is essential for genomic projects aimed at understanding the etiology of ...