The wgaim (whole genome average interval mapping) package developed in the R system for statistical computing (R Development Core Team 2011) builds on linear mixed modelling techniques by incorporating a whole genome approach to detecting significant quantitative trait loci (QTL) in bi-parental populations. Much of the sophistication is inherited through the well established linear mixed modelling package ASReml-R (Butler et al. 2009). As wgaim uses an extension of interval mapping to incorporate the whole genome into the analysis, functions are provided which allow conversion of genetic data objects created with the qtl package of Broman and Wu (2010) available in R. Results of QTL analyses are available using summary and print methods as ...
Understanding the complicated process by which the genetic code is translated into the phenotypic ex...
A powerful QTL analysis method for nested association mapping populations is presented. Based on a o...
Many biological traits are discretely distributed in phenotype but continuously distributed in genet...
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
Mapping of quantitative trait loci (QTLs) underlying variation in quantitative traits continues to b...
Mapping of quantitative trait loci (QTLs) underlying variation in quantitative traits continues to b...
Mapping of quantitative trait loci (QTLs) underlying variation in quantitative traits continues to b...
dlmap is a software package capable of mapping quantitative trait loci (QTL) in a variety of genetic...
This thesis develops and evaluates statistical methods for different types of genetic analyses, incl...
We present vqtl, an R package for mean-variance QTL mapping. This QTL mapping approach tests for gen...
A major aim in some plant-based studies is the determination of quantitative trait loci (QTL) for mu...
The advent of new technology for extracting genetic information from tissue samples has increased th...
Motivation: Current methodology and software for quantitat-ive trait loci (QTL) analyses do not use ...
The original publication can be found at www.springerlink.comAn extension of interval mapping is pre...
Understanding the complicated process by which the genetic code is translated into the phenotypic ex...
A powerful QTL analysis method for nested association mapping populations is presented. Based on a o...
Many biological traits are discretely distributed in phenotype but continuously distributed in genet...
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
Mapping of quantitative trait loci (QTLs) underlying variation in quantitative traits continues to b...
Mapping of quantitative trait loci (QTLs) underlying variation in quantitative traits continues to b...
Mapping of quantitative trait loci (QTLs) underlying variation in quantitative traits continues to b...
dlmap is a software package capable of mapping quantitative trait loci (QTL) in a variety of genetic...
This thesis develops and evaluates statistical methods for different types of genetic analyses, incl...
We present vqtl, an R package for mean-variance QTL mapping. This QTL mapping approach tests for gen...
A major aim in some plant-based studies is the determination of quantitative trait loci (QTL) for mu...
The advent of new technology for extracting genetic information from tissue samples has increased th...
Motivation: Current methodology and software for quantitat-ive trait loci (QTL) analyses do not use ...
The original publication can be found at www.springerlink.comAn extension of interval mapping is pre...
Understanding the complicated process by which the genetic code is translated into the phenotypic ex...
A powerful QTL analysis method for nested association mapping populations is presented. Based on a o...
Many biological traits are discretely distributed in phenotype but continuously distributed in genet...