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ToPNet - An application for interactive analysis of expression data and biological networks

  • Daniel Hanisch
  • , Florian Sohler*
  • , Ralf Zimmer
  • *Corresponding author for this work
  • Fraunhofer Institute for Algorithms and Scientific Computing SCAI
  • Ludwig Maximilian University of Munich
  • Institut für Informatik

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Summary: ToPNet is a new tool for the combined visualization and exploration of gene networks and expression data. ToPNet provides various ways of restricting, manipulating and combining biological networks according to annotation data (e.g. Gene Ontology terms) and presents results to the user via different visualization procedures and hyperlinks to the underlying data sources. To easily identify relevant parts of the network, ToPNet provides a method of detecting significant subnetworks with respect to expression measurements. As ToPNet is a pure JAVA application with additional scripting capabilities, it is well-suited as a test-bed for algorithm development and exploratory biological data analysis alike.

Original languageEnglish
Pages (from-to)1470-1471
Number of pages2
JournalBioinformatics
Volume20
Issue number9
DOIs
StatePublished - 12 Jun 2004
Externally publishedYes

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