Literature DB >> 11590107

BioLayout--an automatic graph layout algorithm for similarity visualization.

A J Enright1, C A Ouzounis.   

Abstract

UNLABELLED: Graph layout is extensively used in the field of mathematics and computer science, however these ideas and methods have not been extended in a general fashion to the construction of graphs for biological data. To this end, we have implemented a version of the Fruchterman Rheingold graph layout algorithm, extensively modified for the purpose of similarity analysis in biology. This algorithm rapidly and effectively generates clear two (2D) or three-dimensional (3D) graphs representing similarity relationships such as protein sequence similarity. The implementation of the algorithm is general and applicable to most types of similarity information for biological data. AVAILABILITY: BioLayout is available for most UNIX platforms at the following web-site: http://www.ebi.ac.uk/research/cgg/services/layout.

Mesh:

Year:  2001        PMID: 11590107     DOI: 10.1093/bioinformatics/17.9.853

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


  46 in total

1.  An efficient algorithm for large-scale detection of protein families.

Authors:  A J Enright; S Van Dongen; C A Ouzounis
Journal:  Nucleic Acids Res       Date:  2002-04-01       Impact factor: 16.971

2.  Exploring the nonlinear geometry of protein homology.

Authors:  Michael A Farnum; Huafeng Xu; Dimitris K Agrafiotis
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

Review 3.  Inference of functional properties from large-scale analysis of enzyme superfamilies.

Authors:  Shoshana D Brown; Patricia C Babbitt
Journal:  J Biol Chem       Date:  2011-11-08       Impact factor: 5.157

4.  Improving the quality of protein similarity network clustering algorithms using the network edge weight distribution.

Authors:  Leonard Apeltsin; John H Morris; Patricia C Babbitt; Thomas E Ferrin
Journal:  Bioinformatics       Date:  2010-11-29       Impact factor: 6.937

5.  The cAMP binding domain: an ancient signaling module.

Authors:  Helen M Berman; Lynn F Ten Eyck; David S Goodsell; Nina M Haste; Alexandr Kornev; Susan S Taylor
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-23       Impact factor: 11.205

6.  Novel specificities emerge by stepwise duplication of functional modules.

Authors:  José B Pereira-Leal; Sarah A Teichmann
Journal:  Genome Res       Date:  2005-04       Impact factor: 9.043

7.  Surface comparison of active and inactive protein kinases identifies a conserved activation mechanism.

Authors:  Alexandr P Kornev; Nina M Haste; Susan S Taylor; Lynn F Ten Eyck
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-09       Impact factor: 11.205

Review 8.  Computational prediction of protein-protein interactions.

Authors:  Lucy Skrabanek; Harpreet K Saini; Gary D Bader; Anton J Enright
Journal:  Mol Biotechnol       Date:  2007-08-14       Impact factor: 2.695

9.  Using sequence similarity networks for visualization of relationships across diverse protein superfamilies.

Authors:  Holly J Atkinson; John H Morris; Thomas E Ferrin; Patricia C Babbitt
Journal:  PLoS One       Date:  2009-02-03       Impact factor: 3.240

10.  FORG3D: force-directed 3D graph editor for visualization of integrated genome scale data.

Authors:  Jussi Paananen; Garry Wong
Journal:  BMC Syst Biol       Date:  2009-02-24
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