scholarly journals Identification and Characterization of Aluminum Tolerance Loci in Arabidopsis (Landsberg erecta × Columbia) by Quantitative Trait Locus Mapping. A Physiologically Simple But Genetically Complex Trait

2003 ◽  
Vol 132 (2) ◽  
pp. 936-948 ◽  
Author(s):  
Owen A. Hoekenga ◽  
Todd J. Vision ◽  
Jon E. Shaff ◽  
Antonio J. Monforte ◽  
Gung Pyo Lee ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Aluminum Tolerance ◽  
Complex Trait ◽  
Trait Locus ◽  
Locus Mapping ◽  
Identification And Characterization

A longitudinal quantitative trait locus mapping of chicken growth traits

2018 ◽  
Vol 294 (1) ◽  
pp. 243-252 ◽  
Author(s):  
Tatsuhiko Goto ◽  
Akira Ishikawa ◽  
Masahide Nishibori ◽  
Masaoki Tsudzuki
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Growth Traits ◽  
Trait Locus ◽  
Locus Mapping

scholarly journals R/qtlcharts: interactive graphics for quantitative trait locus mapping

2014 ◽  
Author(s):  
Karl W Broman
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Quantitative Traits ◽  
R Package ◽  
High Dimensional ◽  
Interactive Graphics ◽  
Phenotype Data ◽  
Trait Locus ◽  
Locus Mapping

Every data visualization can be improved with some level of interactivity. Interactive graphics hold particular promise for the exploration of high-dimensional data. R/qtlcharts is an R package to create interactive graphics for experiments to map quantitative trait loci (QTL; genetic loci that influence quantitative traits). R/qtlcharts serves as a companion to the R/qtl package, providing interactive versions of R/qtl's static graphs, as well as additional interactive graphs for the exploration of high-dimensional genotype and phenotype data.

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