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synbreed (version 0.12-9)

Framework for the Analysis of Genomic Prediction Data using R

Description

A collection of functions required for genomic prediction which were developed within the Synbreed project for synergistic plant and animal breeding (). This covers data processing, data visualization, and analysis. All functions are embedded within the framework of a single, unified data object. The implementation is flexible with respect to a wide range of data formats in plant and animal breeding. This research was funded by the German Federal Ministry of Education and Research (BMBF) within the AgroClustEr Synbreed - Synergistic plant and animal breeding (FKZ 0315528A).

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Version

Install

install.packages('synbreed')

Monthly Downloads

233

Version

0.12-9

License

GPL-3

Maintainer

Hans-Juergen Auinger

Last Published

March 16th, 2018

Functions in synbreed (0.12-9)

kin

Relatedness based on pedigree or marker data
plotNeighbourLD

Plot neighbour linkage disequilibrium
read.vcf2list

Read data of a vcf-file to a matrix
simul.pedigree

Simulation of pedigree structure
predict.gpMod

Prediction for genomic prediction models.
simul.phenotype

Simulation of a field trial with single trait
summary.gpData

Summary for class gpData
manhattanPlot

Manhattan plot for SNP effects
plot.LDdf

Plot function for class LDdf
summary.gpMod

Summary for class gpMod
plot.pedigree

Visualization of pedigree
write.vcf

Prepare genotypic data in vcf-Format
read.vcf2matrix

Read data of a vcf-file to a matrix
plot.relationshipMatrix

Heatmap for relationship Matrix
summaryGenMap

Summary of marker map information
create.gpData

Create genomic prediction data object
plot.LDmat

Plot function for class LDmat
plotGenMap

Plot marker map
summary.relationshipMatrix

Summary of relationship matrices
write.plink

Prepare data for PLINK
write.relationshipMatrix

Writing relationshipMatrix in table format
write.beagle

Prepare genotypic data for Beagle
summary.LDdf

Summary for LD objects
summary.pedigree

Summary of pedigree information
summary.cvData

Summary of options and results of the cross validation procedure
[.GenMap

Extract or replace part of map data.frame
add.gpData

Join two gpData objects
[.relationshipMatrix

Extract or replace part of relationship matrix
pairwiseLD

Pairwise LD between markers
MME

Mixed Model Equations
add.individuals

Add new individuals to objects of class gpData
LDMap

LD Heatmap
LDDist

LD versus distance Plot
add.markers

Add new markers to an object of class gpData
add.pedigree

Merge pedigree object
gpData2cross

Conversion between objects of class 'cross' and 'gpData'
gpMod

Genomic predictions models for objects of class gpData
crossVal

Cross validation of different prediction models
gpData2data.frame

Merge of phenotypic and genotypic data
discard.markers

Subsets for objects of class gpData
create.pedigree

Create pedigree object
discard.individuals

Subsets for objects of class gpData
codeGeno

Recode genotypic data, imputation of missing values and preselection of markers