Complementary Genomic Functions
ASRgenomics: Complementary Genomic Functions
Estimates call rate
Check string arguments
Check data mode
Check data class
Check logical arguments
Creates a dummy map if not provided
Estimates the population level inbreeding (Fis) by marker
Generates a sparse form matrix from a full form matrix
Obtains the inverse of the genomic relationship matrix G
Obtains the genomic matrix from SNP data for additive or dominant rela...
Generates the conditional predictions of random effects (BLUPs)
Tune-up the the genomic relationship matrix G
Generates the inverse of the hybrid H matrix
Generates the hybrid matrix
Estimates observed and expected heterozygosity
Reports summary statistics, plots and filter options for a given kinsh...
Enhanced heatmap plot for a kinship matrix K
Performs a Principal Component Analysis (PCA) based on a kinship matri...
Assess condition of the inverse of K
Estimates minor allele frequency (MAF)
Check the genomic relationship matrix G against the pedigree relations...
Check any kinship matrix K against phenotypic data
Quality control filtering of molecular matrix M for downstream analyse...
Function that silences everything (e.g., cat(), print(), `message(...
Performs a Principal Component Analysis (PCA) based on a molecular mat...
Reduces the number of redundant markers on a molecular matrix M by pru...
Recodes the molecular matrix M for downstream analyses
Generates a full matrix form from a sparse form matrix
Generates a molecular matrix M for hypothetical crosses based on the g...
Presents a series of molecular and genetic routines in the R environment with the aim of assisting in analytical pipelines before and after the use of 'asreml' or another library to perform analyses such as Genomic Selection or Genome-Wide Association Analyses. Methods and examples are described in Gezan, Oliveira, Galli, and Murray (2022) <https://asreml.kb.vsni.co.uk/wp-content/uploads/sites/3/ASRgenomics_Manual.pdf>.