| Literature DB >> 28980447 |
David Barrios1, Carlos Prieto1.
Abstract
Data visualization techniques provide new methods for the generation of interactive graphs. These graphs allow a better exploration and interpretation of data but their creation requires advanced knowledge of graphical libraries. Recent packages have enabled the integration of interactive graphs in R. However, R provides limited graphical packages that allow the generation of interactive graphs for computational biology applications. The present project has joined the analytical power of R with the interactive graphical features of JavaScript in a new R package (RJSplot). It enables the easy generation of interactive graphs in R, provides new visualization capabilities, and contributes to the advance of computational biology analytical methods. At present, 16 interactive graphics are available in RJSplot, such as the genome viewer, Manhattan plots, 3D plots, heatmaps, dendrograms, networks, and so on. The RJSplot package is freely available online at http://rjsplot.net.Keywords: Bioinformatics analysis; D3; Data visualization; R
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Year: 2017 PMID: 28980447 DOI: 10.1002/minf.201700090
Source DB: PubMed Journal: Mol Inform ISSN: 1868-1743 Impact factor: 3.353