Literature DB >> 14555620

A fast layout algorithm for protein interaction networks.

Kyungsook Han1, Byong-Hyon Ju.   

Abstract

MOTIVATION: Graph drawing algorithms are often used for visualizing relational information, but a naive implementation of a graph drawing algorithm encounters real difficulties when drawing large-scale graphs such as protein interaction networks.
RESULTS: We have developed a new, extremely fast layout algorithm for visualizing large-scale protein interaction networks in the three-dimensional space. The algorithm (1) first finds a layout of connected components of an entire network, (2) finds a global layout of nodes with respect to pivot nodes within a connected component and (3) refines the local layout of each connected component by first relocating midnodes with respect to their cutvertices and direct neighbors of the cutvertices and then by relocating all nodes with respect to their neighbors within distance 2. Advantages of this algorithm over classical graph drawing methods include: (1) it is an order of magnitude faster, (2) it can directly visualize data from protein interaction databases and (3) it provides several abstraction and comparison operations for effectively analyzing large-scale protein interaction networks. AVAILABILITY: http://wilab.inha.ac.kr/interviewer/

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Year:  2003        PMID: 14555620     DOI: 10.1093/bioinformatics/btg346

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


  8 in total

1.  WebInterViewer: visualizing and analyzing molecular interaction networks.

Authors:  Kyungsook Han; Byong-Hyon Ju; Haemoon Jung
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  The interactome as a tree--an attempt to visualize the protein-protein interaction network in yeast.

Authors:  Hongchao Lu; Xiaopeng Zhu; Haifeng Liu; Geir Skogerbø; Jingfen Zhang; Yong Zhang; Lun Cai; Yi Zhao; Shiwei Sun; Jingyi Xu; Dongbo Bu; Runsheng Chen
Journal:  Nucleic Acids Res       Date:  2004-09-08       Impact factor: 16.971

3.  BFL: a node and edge betweenness based fast layout algorithm for large scale networks.

Authors:  Tatsunori B Hashimoto; Masao Nagasaki; Kaname Kojima; Satoru Miyano
Journal:  BMC Bioinformatics       Date:  2009-01-15       Impact factor: 3.169

4.  A generic algorithm for layout of biological networks.

Authors:  Falk Schreiber; Tim Dwyer; Kim Marriott; Michael Wybrow
Journal:  BMC Bioinformatics       Date:  2009-11-12       Impact factor: 3.169

5.  Network analysis of acupuncture points used in the treatment of low back pain.

Authors:  Soon-Ho Lee; Chang-Eop Kim; In-Seon Lee; Won-Mo Jung; Hong-Gee Kim; Hyunchul Jang; Sang-Jeong Kim; Hyejung Lee; Hi-Joon Park; Younbyoung Chae
Journal:  Evid Based Complement Alternat Med       Date:  2013-07-16       Impact factor: 2.629

6.  Conversion of KEGG metabolic pathways to SBGN maps including automatic layout.

Authors:  Tobias Czauderna; Michael Wybrow; Kim Marriott; Falk Schreiber
Journal:  BMC Bioinformatics       Date:  2013-08-16       Impact factor: 3.169

7.  Design considerations for representing systems biology information with the Systems Biology Graphical Notation.

Authors:  Falk Schreiber; Tobias Czauderna
Journal:  J Integr Bioinform       Date:  2022-07-04

8.  A multilevel gamma-clustering layout algorithm for visualization of biological networks.

Authors:  Tomas Hruz; Markus Wyss; Christoph Lucas; Oliver Laule; Peter von Rohr; Philip Zimmermann; Stefan Bleuler
Journal:  Adv Bioinformatics       Date:  2013-06-26
  8 in total

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