title: Analyzing biological data using R: methods for graphs and networks.
abstract: 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.
authors.affiliation: IRISA, Equipe Symbiose, Université de Rennes I, Rennes, France. nlemeur@gmail.com
authors.forename: Nolwenn
authors.initials: N
authors.lastname: Le Meur
authors.forename: Robert
authors.initials: R
authors.lastname: Gentleman
mesh_terms: D000465:Algorithms; D001412:Bacillus subtilis / Q000235:genetics; D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D004926:Escherichia coli / Q000235:genetics; D055641:Mathematical Concepts; D008954:Models, Biological; D060066:Protein Interaction Maps / Q000235:genetics; D012984:Software
chemical_list: D001426:Bacterial Proteins