R is a powerful language and widely used software tool for the analysis and visualization of data. Its core capabilities can be extended through many different add-on packages. Among the many packages are some which offer a broad range of facilities for analyzing statistical properties of graphs. This chapter provides a practical tutorial covering the use of R methods for graphs and networks to examine biological data and analyze their topological and statistical properties. © 2012 Springer Science+Business Media, LLC.
CITATION STYLE
Meur, N. L., & Gentleman, R. (2012). Analyzing biological data using R: Methods for graphs and networks. Methods in Molecular Biology, 804, 343–373. https://doi.org/10.1007/978-1-61779-361-5_19
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