Literature DB >> 14962941

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

Daniel Hanisch1, Florian Sohler, Ralf Zimmer.   

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. AVAILABILITY: ToPNet is freely available for academic institutions at http://www.biosolveit.de/ToPNet/

Mesh:

Year:  2004        PMID: 14962941     DOI: 10.1093/bioinformatics/bth096

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  6 in total

1.  Ulysses - an application for the projection of molecular interactions across species.

Authors:  Danielle Kemmer; Yong Huang; Sohrab P Shah; Jonathan Lim; Jochen Brumm; Macaire M S Yuen; John Ling; Tao Xu; Wyeth W Wasserman; B F Francis Ouellette
Journal:  Genome Biol       Date:  2005-12-02       Impact factor: 13.583

Review 2.  Integrative approaches for finding modular structure in biological networks.

Authors:  Koyel Mitra; Anne-Ruxandra Carvunis; Sanath Kumar Ramesh; Trey Ideker
Journal:  Nat Rev Genet       Date:  2013-10       Impact factor: 53.242

3.  WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data.

Authors:  Ming Yi; Jay D Horton; Jonathan C Cohen; Helen H Hobbs; Robert M Stephens
Journal:  BMC Bioinformatics       Date:  2006-01-19       Impact factor: 3.169

4.  BISON: Bio-Interface for the Semi-global analysis Of Network patterns.

Authors:  Christopher Besemann; Anne Denton; Nathan J Carr; Birgit M Prüss
Journal:  Source Code Biol Med       Date:  2006-11-29

5.  MINER: exploratory analysis of gene interaction networks by machine learning from expression data.

Authors:  Sidath Randeni Kadupitige; Kin Chun Leung; Julia Sellmeier; Jane Sivieng; Daniel R Catchpoole; Michael E Bain; Bruno A Gaëta
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

6.  VANTED: a system for advanced data analysis and visualization in the context of biological networks.

Authors:  Björn H Junker; Christian Klukas; Falk Schreiber
Journal:  BMC Bioinformatics       Date:  2006-03-06       Impact factor: 3.169

  6 in total

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