Results 11 to 20 of about 1,229,479 (285)

R/qtl: QTL mapping in experimental crosses.

open access: yesBioinformatics, 2003
Summary: R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental populations derived from inbred lines.
Broman, K W   +3 more
core   +4 more sources

Fine mapping of multiple QTL using combined linkage and linkage disequilibrium mapping – A comparison of single QTL and multi QTL methods [PDF]

open access: yesGenetics Selection Evolution, 2007
Two previously described QTL mapping methods, which combine linkage analysis (LA) and linkage disequilibrium analysis (LD), were compared for their ability to detect and map multiple QTL.
Meuwissen Theo HE, Uleberg Eivind
doaj   +4 more sources

Confidence intervals in QTL mapping by bootstrapping [PDF]

open access: yesGenetics, 1996
The determination of empirical confidence intervals for the location of quantitative trait loci (QTLs) was investigated using simulation. Empirical confidence intervals were calculated using a bootstrap resampling method for a backcross population ...
Visscher, PM   +5 more
core   +6 more sources

Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data

open access: yesGenetics Selection Evolution, 2004
A multi-locus QTL mapping method is presented, which combines linkage and linkage disequilibrium (LD) information and uses multitrait data. The method assumed a putative QTL at the midpoint of each marker bracket.
Goddard Mike E, Meuwissen Theo HE
doaj   +3 more sources

postQTL: a QTL mapping R workflow to improve the accuracy of true positive loci identification

open access: yesBMC Research Notes, 2022
Objective The determination of the location of quantitative trait loci (QTL) (i.e., QTL mapping) is essential for identifying new genes. Various statistical methods are being incorporated into different QTL mapping functions.
Prashant Bhandari, Tong Geon Lee
doaj   +1 more source

Copulas in QTL Mapping [PDF]

open access: yesBehavior Genetics, 2004
The standard variance components method for mapping quantitative trait loci is derived on the assumption of normality. Unsurprisingly, statistical tests based on this method do not perform so well if this assumption is not satisfied. We use the statistical concept of copulas to relax the assumption of normality and derive a test that can perform well ...
Basrak, B.   +4 more
openaire   +6 more sources

Joint QTL linkage mapping for multiple-cross mating design sharing one common parent. [PDF]

open access: yesPLoS ONE, 2011
BackgroundNested association mapping (NAM) is a novel genetic mating design that combines the advantages of linkage analysis and association mapping. This design provides opportunities to study the inheritance of complex traits, but also requires more ...
Huihui Li   +4 more
doaj   +1 more source

Inclusive Composite Interval Mapping of QTL by Environment Interactions in Biparental Populations. [PDF]

open access: yesPLoS ONE, 2015
Identification of environment-specific QTL and stable QTL having consistent genetic effects across a wide range of environments is of great importance in plant breeding. Inclusive Composite Interval Mapping (ICIM) has been proposed for additive, dominant
Shanshan Li, Jiankang Wang, Luyan Zhang
doaj   +1 more source

R/qtl: high-throughput multiple QTL mapping [PDF]

open access: yesBioinformatics, 2010
AbstractMotivation: R/qtl is free and powerful software for mapping and exploring quantitative trait loci (QTL). R/qtl provides a fully comprehensive range of methods for a wide range of experimental cross types. We recently added multiple QTL mapping (MQM) to R/qtl.
Danny Arends   +3 more
openaire   +3 more sources

Multi-QTL mapping for quantitative traits using epistatic distorted markers. [PDF]

open access: yesPLoS ONE, 2013
The interaction between segregation distortion loci (SDL) has been often observed in all kinds of mapping populations. However, little has been known about the effect of epistatic SDL on quantitative trait locus (QTL) mapping.
Shang-Qian Xie, Jia Wen, Yuan-Ming Zhang
doaj   +1 more source

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