Literature DB >> 15215357

WebInterViewer: visualizing and analyzing molecular interaction networks.

Kyungsook Han1, Byong-Hyon Ju, Haemoon Jung.   

Abstract

Molecular interaction networks, such as those involving protein-protein and protein-DNA interactions, often consist of thousands of nodes or even more, which severely limits the usefulness of many graph drawing tools because they become too slow for interactive analysis of the networks and because they produce cluttered drawings with many edge crossings. We present a new, fast-layout algorithm and its implementation called WebInterViewer for visualizing large-scale molecular interaction networks. WebInterViewer (i) finds a layout of the connected components of an entire network, (ii) finds a global layout of nodes with respect to pivot nodes within the connected components and (iii) refines the local layout of each connected component by first relocating midnodes with respect to their cutvertices and the direct neighbors of the cutvertices, and then relocating all nodes with respect to their neighbors within distance 2. The advantages of WebInterViewer over classical graph drawing methods include the facts that (i) it is an order of magnitude faster, (ii) it can visualize data directly from protein interaction databases and (iii) it provides several abstraction and comparison operations for analyzing large-scale biological networks effectively. WebInterViewer is accessible at http://interviewer.inha.ac.kr/.

Mesh:

Substances:

Year:  2004        PMID: 15215357      PMCID: PMC441600          DOI: 10.1093/nar/gkh462

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  5 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-29       Impact factor: 11.205

2.  Visualization and analysis of protein interactions.

Authors:  Byong-Hyon Ju; Byungkyu Park; Jong H Park; Kyungsook Han
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

3.  Complexity management in visualizing protein interaction networks.

Authors:  Byong-Hyon Ju; Kyungsook Han
Journal:  Bioinformatics       Date:  2003       Impact factor: 6.937

4.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Authors:  Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

5.  A fast layout algorithm for protein interaction networks.

Authors:  Kyungsook Han; Byong-Hyon Ju
Journal:  Bioinformatics       Date:  2003-10-12       Impact factor: 6.937

  5 in total
  5 in total

1.  FNV: light-weight flash-based network and pathway viewer.

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Journal:  Bioinformatics       Date:  2011-02-23       Impact factor: 6.937

Review 2.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

3.  Prediction of protein-protein interactions between viruses and human by an SVM model.

Authors:  Guangyu Cui; Chao Fang; Kyungsook Han
Journal:  BMC Bioinformatics       Date:  2012-05-08       Impact factor: 3.169

4.  ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining.

Authors:  Tianxiao Huan; Andrey Y Sivachenko; Scott H Harrison; Jake Y Chen
Journal:  BMC Bioinformatics       Date:  2008-08-12       Impact factor: 3.169

5.  JNets: exploring networks by integrating annotation.

Authors:  Jamie I Macpherson; John W Pinney; David L Robertson
Journal:  BMC Bioinformatics       Date:  2009-03-26       Impact factor: 3.169

  5 in total

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