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Using Graphs for Interactome Data

  • T. Chiang
  • S. Falcon
  • F. Hahne
  • W. Huber
Part of the Use R! book series (USE R)

Abstract

Many data types and many models of biological systems are best described in terms of graphs. Protein–protein interaction data are a prominent example. In this chapter, we explore a curated dataset of protein interactions and perform a statistical analysis of the relationship between protein interaction and coexpression. We also show how to access large-scale protein–protein interaction datasets from the IntAct repository at the EBI.

Keywords

Lookup Table Cluster Graph Expression Cluster Large Connected Component Protein Interaction Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • T. Chiang
    • 1
  • S. Falcon
    • 2
  • F. Hahne
    • 3
  • W. Huber
    • 4
  1. 1.European Molecular Biology LaboratoryEuropean Bioinformatics InstituteCambridgeUK
  2. 2.Scientific Software EngineerSeattleUSA
  3. 3.Division of Public Health Sciences, Program in Computational BiologyFred Hutchinson Cancer Research CenterSeattleUSA
  4. 4.Wellcome Trust Genome CampusEuropean Bioinformatics Institute, EMBL Outstation HinxtonCambridgeUK

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