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mppR: Multi-Parent Population QTL Analysis

Overview

mppR is an R package to perform QTL analysis of experimental multi-parent populations. The population must be composed of crosses between a set of at least three parents (e.g. factorial design, 'diallel', or nested association mapping). The functions cover data processing, QTL detection, and results visualization.

Installation

mppR has two different branches: "master" and "mppR_CRAN". The "master" branch allows to perform MPP mixed model QTL detection calling the asreml-R package and function parent_cluster.mppData that call the archived R package clusthaplo for parent clustering. The branch "mppR_CRAN" do not contain the mixed models and the call to clusthaplo.

devtools::install_github("vincentgarin/mppR", ref = "master")

Usage

vignette of the package

Travis

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Install

install.packages('mppR')

Monthly Downloads

224

Version

1.2.1

License

GPL-3

Issues

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Stars

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Maintainer

Vincent Garin

Last Published

February 11th, 2020

Functions in mppR (1.2.1)

mpp_CV

MPP cross-validation
create.mppData

Create a multi-parent population data object
subset.mppData

Subset mppData object
print.summary.mppData

Print summary.mppData object
USNAM_map

Reduced map maize US-NAM population
print.summary.QeffRes

Print summary.QeffRes object
print.summary.QR2Res

Print summary.QR2Res object
mpp_SIM

MPP Simple Interval Mapping
inc_mat_QTL

QTL incidence matrix
summary.QR2Res

Summary of QR2Res object
mppData

Complete mppData object
design_connectivity

Connected parts of a MPP design
USNAM_pheno

Reduced phenotype data from Maize US-NAM population
mpp_back_elim

Backward elimination on QTL candidates
mpp_perm

QTL significance threshold by permutation
parent_cluster.mppData

Parent clustering for mppData objects
plot.QTLprof

plot QTL profile
summary.QeffRes

Summary of QeffRes object
mpp_CIM

MPP Composite Interval Mapping
QTL_R2

QTL global and partial R squared
mpp_proc

MPP QTL analysis
mppData_init

mppData object with raw data
par_clu

Parental clustering
summary.mppData

Summary of mppData object
QTL_select

QTL candidates selection
QC.mppData

Quality control for mppData objects
CV_partition

Cross validation partition
IBS.mppData

IBS coding for mppData objects
MQE_proc

Multi-QTL effect MPP analysis
QTL_pred_R2

Predicted QTL global and partial R squared
IBD.mppData

IBD coding for mppData objects
QTL_gen_effects

QTL genetic effects
USNAM_geno

Reduced genotype data maize US-NAM population