Results 111 to 120 of about 51,866 (158)
Some of the next articles are maybe not open access.
QTL Mapping Using High-Throughput Sequencing
2015Quantitative trait locus (QTL) mapping in plants dates to the 1980s (Stuber et al. Crop Sci 27: 639-648, 1987; Paterson et al. Nature 335: 721-726, 1988), but earlier studies were often hindered by the expense and time required to identify large numbers of polymorphic genetic markers that differentiated the parental genotypes and then to genotype them ...
Tiffany M, Jamann +2 more
openaire +2 more sources
QTL Mapping Using RIL Population
Genetic maps are an excellent tool for the analysis of important traits, the development of which is the result of the combined expression of several genes, enabling the genomic localization of the factors determining them. Such features, characterized by a normal distribution of values, are referred to as quantitative or polygenic.Paweł, Milczarski +2 more
openaire +2 more sources
Meta-analysis of QTL Mapping Experiments
2012Meta-analysis is an important tool for integrating information from multiple quantitative trait loci (QTLs) studies. Pooling of results from several studies allows greater statistical power for QTL detection and more precise estimation of their genetic effects.
Xiao-Lin, Wu, Zhi-Liang, Hu
openaire +2 more sources
Empirical Bayesian QTL Mapping
2012Empirical Bayesian is still a Bayesian method, but thehyperparameters (the parameters of the prior distribution) are not preselected by the investigators; instead, they are estimated from the same dataset as that used in the Bayesian analysis. Once the hyperparameters are estimated, they are used in the usual Bayesian analysis as if they were the true ...
openaire +1 more source
2012
So far we have learned the least-squares method, the weighted least squares method, and the maximum likelihood method for QTL mapping. These methods share a common problem in handlingmultiple QTL, that is, the problem ofmulticollinearity. Therefore, a model can include only a few QTL.
openaire +1 more source
So far we have learned the least-squares method, the weighted least squares method, and the maximum likelihood method for QTL mapping. These methods share a common problem in handlingmultiple QTL, that is, the problem ofmulticollinearity. Therefore, a model can include only a few QTL.
openaire +1 more source
QTL Mapping in Plant Populations
2002The author derived explicit expressions for the maximum likelihood estimates of genetic parameters when the iterative EM algorithm is applied. These explicit formulas enable a comparison between new computed parameter estimates with ones that are calculated using the ECM algorithm, which is implemented in standard software (e. g.
openaire +1 more source
QTL Mapping in Outbred Pedigrees
1997This chapter reviews quantitative trait loci (QTL) mapping in outbred pedigrees: the influence of life history attributes, terminology and concepts unique to outbred QTL mapping, general pedigree designs, and the basics of QTL analyses. QTL mapping for outcrossed pedigrees is complicated by the absence of complete homozygosity in the parents.
openaire +1 more source
Lymphatic Mapping and Sentinel Node Analysis: Current Concepts and Applications
Ca-A Cancer Journal for Clinicians, 2006Anton J Bilchik
exaly