Analyzing biological data using R: methods for graphs and networks

Methods Mol Biol. 2012:804:343-73. doi: 10.1007/978-1-61779-361-5_19.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Bacillus subtilis / genetics
  • Bacterial Proteins / genetics
  • Bacterial Proteins / metabolism
  • Computational Biology / methods*
  • Escherichia coli / genetics
  • Mathematical Concepts*
  • Models, Biological*
  • Protein Interaction Maps / genetics
  • Software*

Substances

  • Bacterial Proteins