Identifying Gene Interaction Networks.

Danica Wiredja, Gurkan Bebek
Author Information
  1. Danica Wiredja: Systems Biology and Bioinformatics Graduate Program, Case Western Reserve University School of Medicine, Cleveland, OH, 44116, USA.
  2. Gurkan Bebek: Systems Biology and Bioinformatics Graduate Program, Case Western Reserve University School of Medicine, Cleveland, OH, 44116, USA. gurkan.bebek@case.edu.

Abstract

In this chapter, we introduce interaction networks by describing how they are generated, where they are stored, and how they are shared. We focus on publicly available interaction networks and describe a simple way of utilizing these resources. This chapter features two case studies, both of which utilize Cytoscape, an open source and user-friendly network visualization and analysis tool. In the first example, we demonstrate the basic functionalities of Cytoscape by building an interaction network from a publicly available database, analyzing its topological features, and performing gene ontology enrichment. For the second section, we constructed a network from scratch starting with an experimental gene expression dataset. From there, we implement more advanced visual annotations of the network and perform subnetwork enrichment. The methods described are applicable to larger networks that can be collected from various resources.

Keywords

MeSH Term

Animals
Databases, Genetic
Gene Ontology
Gene Regulatory Networks
Genomics
Humans
Internet
Protein Interaction Maps
Software

Word Cloud

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