edgebundleR packages will be highlighted as examples that enable interactive visualisations of networks. It can be a full time job keeping up with all the new features R has to offer statisticians and bioinformaticians – the aim of this workshop is to familiarise you with some of the latest and greatest tools available for data visualisation and interactive data analysis.
This workshop is relevant to all practising bioinformaticians who use R as part of their research and development pipeline. It will be particularly useful for people who are interested in better communicating their research through interactive graphics or enabling their analyses to be replicated within a user-friendly web interface.
A working understanding of R will be assumed.
install.packages(c("shiny", "shinydashboard", "shinythemes", "shinyBS", "ggplot2", "magrittr", "DT", "ggvis", "dplyr", "MASS", "rhandsontable", "pairsD3", "tidyr", "ICSNP", "networkD3", "d3heatmap", "edgebundleR", "readr", "mplot"))
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