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R/qtlcharts: interactive graphics for quantitative trait locus mapping.

Broman KW - Genetics (2014)

Bottom Line: 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).

View Article: PubMed Central - PubMed

Affiliation: Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin 53706 kbroman@biostat.wisc.edu.

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Related in: MedlinePlus

Examples of the basic panels that form the core of R/qtlcharts. (A) Heat map; (B) LOD curves; (C) scatterplot; (D) a set of confidence intervals.
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fig2: Examples of the basic panels that form the core of R/qtlcharts. (A) Heat map; (B) LOD curves; (C) scatterplot; (D) a set of confidence intervals.

Mentions: The core of R/qtlcharts is a set of modular, reusable graphic panels, based on the D3 JavaScript library. Examples of these panels are displayed in Figure 2 and include heat maps, LOD curve plots, and scatterplots. Multiple panels are combined into higher-level interactive charts with links among the panels (as in Figure 1).


R/qtlcharts: interactive graphics for quantitative trait locus mapping.

Broman KW - Genetics (2014)

Examples of the basic panels that form the core of R/qtlcharts. (A) Heat map; (B) LOD curves; (C) scatterplot; (D) a set of confidence intervals.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4317647&req=5

fig2: Examples of the basic panels that form the core of R/qtlcharts. (A) Heat map; (B) LOD curves; (C) scatterplot; (D) a set of confidence intervals.
Mentions: The core of R/qtlcharts is a set of modular, reusable graphic panels, based on the D3 JavaScript library. Examples of these panels are displayed in Figure 2 and include heat maps, LOD curve plots, and scatterplots. Multiple panels are combined into higher-level interactive charts with links among the panels (as in Figure 1).

Bottom Line: 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).

View Article: PubMed Central - PubMed

Affiliation: Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin 53706 kbroman@biostat.wisc.edu.

Show MeSH
Related in: MedlinePlus