Modular Breeding Program Simulator
Add a genotyping array
Add a trait as a linear combination of other traits
Add something to the diagonal
Add additional diverse material to a population
Add fixed effects to traits
Add a relationship matrix for founder individuals
Moore-Penrose-Transfomration
Analyze genomic values
Analyze allele frequency of a single marker
Decoding of bitwise-storing in R
Bitwise-storing in R
Breeding function
Internal function to simulate one meiosis
Internal function to simulate one meiosis
Internal function to simulate one meiosis
Internal function to simulate one meiosis
Internal function to simulate one meiosis
Internal function to simulate one meiosis
Internal function to simulate one meiosis
Internal function to simulate one meiosis
Internal function to simulate one meiosis
Development of genetic/breeding value using a boxplot
Development of genetic/breeding value
BV standardization
Calculate breeding values
Relatedness check between two individuals
Clean-up recombination points
Origins-coding(R)
Combine traits
Compute costs of a breeding program by cohorts
Compute costs of a breeding program
Compute genotype/haplotype in gene editing application
Compute genotype/haplotype
Generation of the starting population
Create a phenotypic transformation
Generation of genomic traits
Origins-Decoding(R)
Remove miraculix-coding for genotypes
Derive loop elements
Diagonal matrix
Detection of parental/child nodes
Internal gene editing function
Estimation of marker effects
Estimate effective population size
Martini-Test function
Function to extract if a cohort exists
Position detection (chromosome)
Position detection (SNPs)
Founder simulation
Function to generate a new individual
Admixture Plot
Derive age point
Calculate allele frequencies
Export underlying true breeding values
Export estimated breeding values
Derive class
Derive ID on an individual
Export Cohort-names
Derive computing time
Derive creating type
Derive culling time
Derive culling type
Derive time of culling
gen/database/cohorts conversion
Derive death point
Dendrogram Heatmap
Dendrogram
Dendrogram
Calculate Nei distance between two or more population
Compute marker frequency in QTL-markers
Estimate effective population size
Export parametrization of fixed effects
Derive genotypes of selected individuals
Derive genotyping timepoint
Derive genotyping status
Derive which markers are genotyped of selected individuals
Derive haplotypes of selected individuals
Derive ID on an individual
Putting together indices for GxE / multi trait
Extract bv/pheno/geno of selected individuals
First copy
Last copy
Export litter effect
Export litter
Calculate minor allele frequencies
Map generation
Number of generations
Number of individuals
Export underlying number of observations per phenotype
Number of traits
Principle components analysis
Derive pedigree
Derive pedigree
Draw pedigree
Derive pedigree including grandparents
Derive pedigree parents and grandparents
Generate plink-file (pedmap)
Export pen-effects
Export pen ID
Export underlying number of used offspring for offspring phenotypes
Export underlying offspring phenotypes
Export underlying phenotypes
Export underlying phenotypes
Derive phenotyping time point
Phylogenetic Tree
Generate binary plink-file
Derive founder pool
Export founder pool
QTL effect extraction
QTL extraction
QTL effect variance extraction
Derive genetic origins
Export underlying reliabilities
Export derived breeding values based on the selection index
Export underlying last used selection index
Extraction of individual sex
Number of individuals in each generation
Derive snapshot of selected individuals
Derive snapshot of selected individuals
Derive time point of generation
Export parametrization of fixed effects
Export parametrization of fixed effects
Name of traits
Export estimated SNP effects
Derive variance components
Derive variances components (add/dom)
Generate vcf-file
Exclude individuals from a database
Empirical kinship
Expected inbreeding
Manually enter breeding values
Manually enter estimated breeding values
Manually enter phenotypes
Manually enter phenotypes
Simulation of a breeding program based on a JSON-file from MoBPSweb
Development of genetic/breeding value
Approximate empirical kinship
Approximate empirical kinship
Empirical kinship
Derive expected kinship
Generate LD plot
Projection positive definite
Merging of cohorts
Generation of genomic traits
Miesenberger Index
Add miraculix-coding for genotypes
Mutation intro
Set new base generation
Breeding function
Optimal genetic contribution
Optimize generation cores
Derive pedigree relationship matrix
Simulation of a given pedigree
Internal function to perform imputing/phasing
Plot Population
Recalculate genomic values
Recalculate genomic values
Haldane recombination function
Rename a cohort
Row-wise Median
scaling.relationship
Set age points
Set class
Set defaults
Set differences between founder pool
Set time point
Apply sort and unique
Single Step GBLUP
Summary Population
Generation of a sublist
write.pedigree.mixblup
Framework for the simulation framework for the simulation of complex breeding programs and compare their economic and genetic impact. Associated publication: Pook et al. (2020) <doi:10.1534/g3.120.401193>.